Total 49 researcher job vacancies in d19 serangoon garden hougang sengkang punggol

At InnoEdge, we work with organisations to protect them from cyber threats. We help detect new unknown cyber threats through research, fortify networks, and defend critical information infrastructures. Based in Singapore, our team consists of cybersecurity experts who use the advanced techniques and technologies to deliver cutting-edge solutions and services.

InnoEdge believes in fostering a culture where team members are encouraged to overcome challenges, explore new ideas, and work together to succeed. We value individuals who are determined to push beyond the boundaries and have a thirst for knowledge, continuous learning, and self-improvement.

Collaboration is key to our success. We prioritise open communication, constructive feedback, and a willingness to help others. We are committed to creating a supportive work environment that encourages excellence, innovation, and continuous improvement. We're looking for individuals who share our values and are excited to join us on our cyber mission.

Responsibilities

• Recommend direction for research projects and conceptualize new tools/techniques that will enhance the vulnerability discovery process.
• Provide mentorship and guidance to new researchers in your main domain of research.
• Perform deep research to understand possible attack surface for an attacker to abuse to gain access to a target system.
• Reverse engineer and/or apply static and/or dynamic analysis techniques on applications to surface vulnerabilities.
• Develop cutting edge fuzzers and static/dynamic analysis tools to scale up the vulnerability discovery process.
• Keep abreast of the latest research in security research and vulnerabilities detection techniques.
• Level up the local security community through mentorship of aspiring security researcher, publishing blog post and speaking at conferences.

Minimum Qualifications:

• Demonstrated ability to perform the following tasks to find bugs in modern software, hardware, or mobile devices.

1. Perform attack surface analysis and prioritize areas to investigate for possible vulnerabilities.
2. Independently apply various vulnerability discovery techniques.
3. Discover and exploit vulnerabilities.

• Deep understanding of internals and common exploitation techniques for area of expertise (i.e. Windows, Android, Browser, …)
• Track record of having found security vulnerabilities in the last 4 years.

For a more senior role, we're looking for candidates who have track records in these areas:

• Consistency in discovering security-related vulnerabilities and demonstrating their impact .
• Performing research on Windows/Android/iOS/Linux Kernel or a complex application by a major vendor, applying attack surface analysis and prioritization, and performing various static and dynamic analysis techniques to find bugs in the different components.
• Discovering and exploiting security vulnerabilities in Windows/Android/iOS/Linux Kernel or a complex application by a major vendor.

If you meet these qualifications and are passionate about cyber security, we encourage you to apply for this exciting opportunity. We offer competitive compensation, a comprehensive benefits package, and a collaborative and dynamic work environment.

At InnoEdge, we work with organisations to protect them from cyber threats. We help detect new unknown cyber threats through research, fortify networks, and defend critical information infrastructures. Based in Singapore, our team consists of cybersecurity experts who use the advanced techniques and technologies to deliver cutting-edge solutions and services.

InnoEdge believes in fostering a culture where team members are encouraged to overcome challenges, explore new ideas, and work together to succeed. We value individuals who are determined to push beyond the boundaries, and have a thirst for knowledge, continuous learning, and self-improvement.

Collaboration is key to our success. We prioritise open communication, constructive feedback, and a willingness to help others. We are committed to creating a supportive work environment that encourages excellence, innovation, and continuous improvement. We're looking for individuals who share our values and are excited to join us on our cyber mission.

Responsibilities

• Recommend direction for research projects and conceptualize new tools/techniques that will enhance the vulnerability discovery process.
• Mentor and guide new researchers in the area of Windows vulnerability research.
• Perform deep research into Windows and selected Windows applications to understand possible attack surface for an attacker to abuse.
• Reverse engineer and/or apply static and/or dynamic analysis techniques on closed source windows binaries to understand it’s inner workings and surface vulnerabilities.
• Modify and deploy custom fuzzers to surface vulnerabilities.
• Develop proof of concept to demonstrate the severity of the discovered vulnerability and propose mitigations.
• Develop cutting edge tools to improve and scale up the vulnerability discovery process.
• Keep abreast of the latest research into Windows security and vulnerabilities detection techniques.
• Level up the local security community through mentorship of aspiring security researcher, publishing blog post and speaking at conferences.

Minimum Qualifications

• Demonstrated ability to:

1. Perform attack surface analysis and prioritization of research on Windows.
2. Independently apply static/dynamic analysis techniques to find bugs
3. Discover and exploit vulnerabilities

• Deep understanding of Windows internals and common exploitation techniques for Windows applications/Windows Kernel
• Track record of having found security vulnerabilities on Windows in the last 4 years.

For a more senior role, we're looking for candidates who have track records in these areas:

• Consistency in discovering security-related vulnerabilities and demonstrating their impact.
• Performing research on Windows Kernel or a complex Windows application by a major vendor, applying attack surface analysis and prioritization, and performing various static and dynamic analysis techniques to find bugs in the different components.
• Discovering and exploiting security vulnerabilities in Windows Kernel or a complex application by a major vendor.

If you meet these qualifications and are passionate about cyber security, we encourage you to apply for this exciting opportunity. We offer competitive compensation, a comprehensive benefits package, and a collaborative and dynamic work environment.

At InnoEdge, we work with organisations to protect them from cyber threats. We help detect new unknown cyber threats through research, fortify networks, and defend critical information infrastructures. Based in Singapore, our team consists of cybersecurity experts who use the advanced techniques and technologies to deliver cutting-edge solutions and services.

InnoEdge believes in fostering a culture where team members are encouraged to overcome challenges, explore new ideas, and work together to succeed. We value individuals who are determined to push beyond the boundaries, and have a thirst for knowledge, continuous learning, and self-improvement.

Collaboration is key to our success. We prioritise open communication, constructive feedback, and a willingness to help others. We are committed to creating a supportive work environment that encourages excellence, innovation, and continuous improvement. We're looking for individuals who share our values and are excited to join us on our cyber mission.

Responsibilities

• Technical Leadership:

a. Recommend research directions, conceptualize new security tools, and mentor junior researchers.

b. Conduct internal training workshops on analysis techniques, vulnerabilities discovery, and mechanism.

• Research and Analysis:

a. Conduct in-depth research on applications, reverse engineer closed-source code, and identify exploitable weaknesses.

b. Continuously learn about the latest application security and reverse engineering techniques.

• Development:

a. Assess and verify security through design and execute tests against industry standards CIA triad: Confidentiality, Integrity, and Availability, plus Authorization and Non-repudiation).

b. Develop proof of concept (e.g. code, scripts) to demonstrate the severity of discovered vulnerabilities and propose mitigations.

c. Develop cutting-edge tools to streamline the analysis process and improve efficiency.

• Documentation and Reporting:

a. Document findings, methodologies, and recommendations for both technical staff and executive leadership.

b. Effectively communicate findings and strategy to stakeholders.

• Contribution:

a. Contribute to the Singapore cybersecurity community through publishing whitepapers, blog posts, or presenting findings at relevant conferences.

Minimum Qualifications

• Fluent in OOP such as C++, Windows or Linux APIs/syscalls and knowledge of common file formats, network protocols and encryption.
• - Demonstrated ability to:
• Reverse engineer C/C++ compiled binaries and recognize common algorithms and patterns in decompiled code.
• Perform type recovery on intermediate data structures and uncover logic and indirect calls within a module.
• Bypass common anti-RE and anti-debugging techniques and uncover original code obfuscated by a public obfuscator.
• - For a more senior role, we're looking for candidates who has the demonstrated ability to:
• Reverse engineer sophisticated software and other programs compiled in newer languages such as Golang, Rust, newer Pythons and non-C binaries.
• Recover complex code logic and indirect calls across multiple modules or files.
• Recover undocumented file format or encoded binaries through deep analysis of the program.
• Develop custom tools to recover the logic or emulate parts of the program.
• Uncover logic of heavily obfuscated or custom packed code.

Benefits

• Training & Development
• Performance Bonus
• Medical Benefits
• Hybrid Work Arrangements

If you meet these qualifications and are passionate about cyber security, we encourage you to apply for this exciting opportunity. We offer competitive compensation, a comprehensive benefits package, and a collaborative and dynamic work environment.

At InnoEdge, we work with organisations to protect them from cyber threats. We help detect new unknown cyber threats through research, fortify networks, and defend critical information infrastructures. Based in Singapore, our team consists of cybersecurity experts who use the advanced techniques and technologies to deliver cutting-edge solutions and services.

InnoEdge believes in fostering a culture where team members are encouraged to overcome challenges, explore new ideas, and work together to succeed. We value individuals who are determined to push beyond the boundaries, and have a thirst for knowledge, continuous learning, and self-improvement.

Collaboration is key to our success. We prioritise open communication, constructive feedback, and a willingness to help others. We are committed to creating a supportive work environment that encourages excellence, innovation, and continuous improvement. We're looking for individuals who share our values and are excited to join us on our cyber mission.

Responsibilities

• Technical Leadership:

a. Recommend research directions, conceptualize new security tools, and mentor junior researchers.

b. Conduct internal training workshops on analysis techniques, vulnerabilities discovery, and mechanism.

• Research and Analysis:

a. Conduct in-depth research on applications, reverse engineer closed-source code, and identify exploitable weaknesses.

b. Continuously learn about the latest application security and reverse engineering techniques.

• Development:

a. Assess and verify security through design and execute tests against industry standards CIA triad: Confidentiality, Integrity, and Availability, plus Authorization and Non-repudiation).

b. Develop proof of concept (e.g. code, scripts) to demonstrate the severity of discovered vulnerabilities and propose mitigations.

c. Develop cutting-edge tools to streamline the analysis process and improve efficiency.

• Documentation and Reporting:

a. Document findings, methodologies, and recommendations for both technical staff and executive leadership.

b. Effectively communicate findings and strategy to stakeholders.

• Contribution:

a. Contribute to the Singapore cybersecurity community through publishing whitepapers, blog posts, or presenting findings at relevant conferences.

Minimum Qualifications

• Fluent in OOP such as C++, Windows or Linux APIs/syscalls and knowledge of common file formats, network protocols and encryption.
• - Demonstrated ability to:
• Reverse engineer C/C++ compiled binaries and recognize common algorithms and patterns in decompiled code.
• Perform type recovery on intermediate data structures and uncover logic and indirect calls within a module.
• Bypass common anti-RE and anti-debugging techniques and uncover original code obfuscated by a public obfuscator.
• - For a more senior role, we're looking for candidates who has the demonstrated ability to:
• Reverse engineer sophisticated software and other programs compiled in newer languages such as Golang, Rust, newer Pythons and non-C binaries.
• Recover complex code logic and indirect calls across multiple modules or files.
• Recover undocumented file format or encoded binaries through deep analysis of the program.
• Develop custom tools to recover the logic or emulate parts of the program.
• Uncover logic of heavily obfuscated or custom packed code.

Benefits

• Training & Development
• Performance Bonus
• Medical Benefits
• Hybrid Work Arrangements

If you meet these qualifications and are passionate about cyber security, we encourage you to apply for this exciting opportunity. We offer competitive compensation, a comprehensive benefits package, and a collaborative and dynamic work environment.

At InnoEdge, we work with organisations to protect them from cyber threats. We help detect new unknown cyber threats through research, fortify networks, and defend critical information infrastructures. Based in Singapore, our team consists of cybersecurity experts who use the advanced techniques and technologies to deliver cutting-edge solutions and services.

InnoEdge believes in fostering a culture where team members are encouraged to overcome challenges, explore new ideas, and work together to succeed. We value individuals who are determined to push beyond the boundaries, and have a thirst for knowledge, continuous learning, and self-improvement.

Collaboration is key to our success. We prioritise open communication, constructive feedback, and a willingness to help others. We are committed to creating a supportive work environment that encourages excellence, innovation, and continuous improvement. We're looking for individuals who share our values and are excited to join us on our cyber mission.

Responsibilities

• Perform deep research into selected applications to understand how they are designed and implemented.
• Reverse engineer or apply static and/or dynamic analysis techniques on closed source binaries to understand it’s inner workings.
• Identify weakness in systems or software that makes it possible for an attacker to abuse.
• Develop proof of concept to demonstrate the severity of the discovered vulnerability and propose mitigations.
• Develop cutting edge tools to improve and scale up the analysis process.
• Keep abreast of the latest research into application security research and reverse engineering techniques.

Minimum Qualifications:

• Software development experience in a general-purpose programming language for instance, Python
• Proficiency in C/C++, assembly (x86/64)

For a more senior role, we're looking for candidates who have:

• Competency in debugging, binary reverse engineering, bypassing of anti-RE and anti-debugging techniques.
• Experience in recognizing common algorithms and patterns (in line hashing function, obfuscator) in decompiled code and ability to perform type recovery on simple to intermediate data structures.
• Ability to apply public research materials to recover file format or encoded binaries.
• Participation in public disclosure of vulnerabilities, bug bounty programs or capture the flag (CTF) competitions.

If you meet these qualifications and are passionate about cyber security, we encourage you to apply for this exciting opportunity. We offer competitive compensation, a comprehensive benefits package, and a collaborative and dynamic work environment.

The Research Department at INSEAD is currently seeking dedicated and talented Pre-Doctoral Researchers to join our pool of predocs in our campus in Singapore. The position is for one year, with the possibility of renewal at the end of the first year upon evaluation. Candidates applying for positions based in Singapore need to already have authorization to work in Singapore. Besides resident positions, in certain cases, we might also offer part time remote positions on short term assignments.

As a Pre-Doctoral Researcher, you will have the opportunity to collaborate with leading professors in various academic areas, including Accounting (ACC), Decision Sciences (DSC), Entrepreneurship and Family Enterprise (EFE), Economics & Political Science (EPS), Finance (FIN), Marketing (MKT), Organisational Behaviour (OB), Strategy (STR) and Technology & Operations Management (TOM).

Position Overview:

This role is designed for exceptional final-year students or recent Master's graduates with an outstanding academic record and a genuine passion for research. Our ideal candidates are motivated individuals eager to enhance their research skills while working alongside renowned scholars, with the aim of pursuing a Ph.D. in the future. Previous Pre-Doctoral Researchers at INSEAD have successfully transitioned to Ph.D. programs at prestigious institutions such as INSEAD, Harvard, Stanford, Caltech, Columbia, Sciences Po, LSE, Stockholm School of Economics and others.

Ideal Candidate:

Our ideal candidate is someone who:

· Is completing a Bachelor's or Master's degree or has recently graduated from a top institution

· Has evidence of outstanding academic achievements and a strong quantitative or qualitative background (research work samples are a plus)

· Has a clear ambition to pursue a Ph.D. in the future

· Demonstrates proficiency in research tools and packages (R, Python, Matlab, SAS, Stata, SPSS, etc.)

· Excels in detail-oriented research tasks and data analysis

· Can work independently, manage timelines, and meet faculty expectations

· Possesses previous research experience and knowledge of econometrics (strong pluses)

· Is fluent in both written and spoken English

Responsibilities:

As a Pre-Doctoral Researcher your responsibilities will include:

· Assisting with quantitative and/or qualitative research projects across academic areas

· Brainstorming potential research questions

· Conducting academic literature searches and reviews

· Managing and analyzing data using software packages like R, Python, Matlab, SAS, Stata, SPSS, etc.

· Performing statistical data analysis, interpreting findings, and contributing to write-ups

· Designing and conducting experiments

How to Apply:

To apply for this position, please submit the following documents to [email protected]with the subject line including this job reference followed by your surname: "SGPRSH, Your Last Name”

1. A cover letter (max. two pages) explaining your research experience/interest, competencies, and preferred academic areas (ranked if multiple)

2. A detailed CV with contact details of two potential references

3. A copy of your official academic transcripts and detailed marks

4. A writing sample or dofile showcasing one of your core competencies

Selection process:

Applications will be reviewed on a rolling basis until the position is filled. Early applications are encouraged. We will acknowledge all applications submitted but due to the large volume of applications we receive, we will only contact shortlisted candidates. Please make sure that your application is complete and includes all the required documents mentioned above.

INSEAD is committed to fostering a diverse and inclusive academic community. We consider applicants for employment without regard to factors such as gender, race, sexual orientation, disability, or nationality.

Summary

We are seeking an AI/ML Researcher to lead the research and development of large language models (LLMs) solutions. The ideal candidate will have a minimum of 2 years of experience in NLP research and a deep understanding of core LLM components, including LLM modeling, information retrieval, entity-relation extraction, agentic frameworks, and reasoning. The role involves leveraging AI/ML algorithm framework, such as TensorFlow and PyTorch, to develop cutting-edge generative LLM solutions. Responsibilities include designing and conducting scientific experiments, utilizing NLP techniques and LLM core components to develop novel LLM solutions in cloud or on-premises environments. The candidate will also be expected to collaborate with the team, participate in code reviews, architecture discussions, and create comprehensive documentation. The ideal candidate should possess a strong foundation in statistical analysis, machine learning, deep learning, generative AI, and text representation techniques. Additionally, the candidate should have excellent communication skills, a strong work ethic, and a passion for delivering high-quality, innovative solutions.

Responsibilities:

• Leading in designing the research and experiment methodology, specifically in LLM core components.
• Conduct independent research and report experiment results, research findings to stakeholders, e.g., ...
• Collaborate with engineering team in various data engineering tasks, including data collection, preprocessing, quality control, and augmentation, to curate high-quality datasets essential for model training,
• Utilize analytical techniques to extract meaningful insights from large datasets
• Communicating regularly with supervisor and Research leads on scientifical progress, insight and research direction.
• Publishing research papers in reputable journals and conferences is valued, it is not a strict requirement for this role.
• Contribute to other program-related projects.
• Collaborate with engineering team to translate researched technology (low TRL) to engineering (high TRL).
• Candidates applying for senior staff positions are expected to mentor and support team members (or cross-team members) in technical advising.

Requirement:

• PhD or Master degree in Computer Science, Computer Engineering, Statistics, Engineering, or related field.
• 2-4 years of experience in research and development, specifically in one or more of the following areas:

1. Natural language processing, specifically in large language model (LLM) core component, e.g., joint entity relation, information retrieval, prompt engineering, reasoning, sentiment analysis, vulnerabilities in LLM, etc....
2. Generative AI, specifically in generating synthetic data.

• Demonstrate an analytical mindset with adept problem-solving skills.
• Keep abreast of the latest advancements in program-related techniques and methodologies,
• Exhibit a strong drive to deliver optimal solutions within tight timelines.
• Strong communication and organizational skills.
• Comprehensive documentation of technical specifications, architectural designs, and best practices.

The INSEAD’s Stone Centre for the Study of Wealth Inequality, in combination with the Economics and Political Science area, invites applications for a full time Pre-Doctoral Researcher to work as a Research Associate (Area Researcher) on INSEAD’s Singapore campus.

The role involves working with Professors Pushan Dutt and Lin Tian on various projects related to inequality, broadly defined. The ideal candidate should have strong data management and data analyses skills, particularly software packages such as STATA, R, Matlab and Python. Skills in STATA are especially valuable.

The position is ideal for a recent university or Masters graduate looking to develop their research skills in economics in view of applying for a PhD programme. It will provide the candidate with great preparation for PhD programme entry by training the applicant in doing research, giving him/her access to some PhD training and developing a relationship with potential letter writers.

The full-time position is for one year with a possibility of renewal after evaluation at the end of the year. The candidate needs to already have authorization to work in Singapore. Students who are graduating or have graduated from Singapore local universities may apply for the position.

Requirements

All candidates should fit the following profile:

• Bachelor's or Master’s degree in economics, computer science, statistics, or mathematics preferred.
• Fluency in written and oral English is required.
• Knowledge of STATA is required. At least one other programming language (Python, Julia, Matlab, SAS or R) is a plus.
• Strong analytical/empirical skills
• Ability to work independently and in small teams
• Excellent work ethic
• Excellent organizational and oral/written communication skills
• Strong motivation and high academic values

About us

The James M. and Cathleen D. Stone Centre for the Study of Wealth Inequality was founded in 2017 to serve as a venue for the research and teaching of income and wealth inequality issues in a business school environment. By convening an interdisciplinary team of scholars from across INSEAD, the Centre aims to generate new insights about inequality problems and business working together with government to solve them.

· INSEAD's Stone Centre for the Study of Wealth Inequality

· Economics and Political Science area

Applications

To be considered for the position, please submit

1. Cover letter.

2. Curriculum vitae.

3. The academic transcripts.

4. Any writing or research work sample.

5. Name and contact details of 2 potential references.

Please submit all materials to [email protected].

Applications and letters of recommendation may be submitted by email to [email protected]. Please mention job reference (STONEPRESGP). The review will begin immediately. Applications will be considered until the position is filled.

Successful applicants may start as soon as possible.

INSEAD is committed to fostering a diverse and inclusive academic community. We consider applicants for employment without regard to factors such as gender, race, sexual orientation, disability, or nationality.

Summary

We are looking for an enthusiastic and skilled AI Researcher to join our dynamic research team. The ideal candidate should have a strong foundation in artificial intelligence and machine learning, coupled with the passion to innovate and improve the capabilities of existing solutions. You will work on cutting-edge research projects, develop new algorithms, and contribute to the advancement of our AI initiatives, via both independent and collaborative research efforts. The role involves leveraging AI/ML algorithm framework, such as TensorFlow and PyTorch, to develop cutting-edge generative AI/ML solutions. Responsibilities include designing and conducting scientific experiments, utilizing core AI/ML knowledge to develop novel AI solutions in cloud or on-premises environments. The candidate will also be expected to collaborate with the team, participate in code reviews, architecture discussions, and create comprehensive documentation. The ideal candidate should possess a strong foundation in statistical analysis, machine learning, deep learning, generative AI, and text representation techniques. Additionally, the candidate should also have excellent communication skills, a strong work ethic, and a passion for delivering highquality, innovative solutions.

Responsibilities:

• Conduct novel and cutting-edge research in AI and machine learning. Research areas include but are not limited to computer vision (CV), natural language processing (NLP), automatic speech recognition (ASR), etc.
• Design, implement, and optimize algorithms and models for various applications employing supervised, self-supervised, semi-supervised, or unsupervised learning.
• Collaborate with our partners and engineers to apply research findings to real-world problems and product development.
• Communicating regularly with supervisor and Research leads on scientifical progress, insight and research direction.
• While publishing research papers in reputable journals and conferences is valued, it is not a strict requirement for this role.
• Contribute to other program-related projects.
• Collaborate with engineering team to translate researched technology (low TRL) to engineering (high TRL).
• Candidates applying for senior staff positions are expected to mentor and support team members (or cross-team members) in technical advising.
• Adhere to ethical research and coding best practices with timely documentation and updates.

Requirement:

• PhD or Master degree in Computer Science, Computer Engineering, Statistics, Engineering, or related technical field.
• 2-4 years of experience in research and development, specifically in one or more of the following areas:

1. Computer vision.
2. Natural language processing, specifically in large language model (LLM) core component, e.g., joint entity relation, information retrieval, prompt engineering, reasoning, sentiment analysis, guardrail, etc....
3. Generative AI, specifically in generating synthetic data.
4. Audio analytics.
5. Large vision language model (LVLM),
6. Embodied AI.

• Proficiency in programming languages such as Python and/or C/C++. Experience with deep learning frameworks like TensorFlow, Keras, and/ or PyTorch.
• Demonstrate an analytical mindset with adept problem-solving skills.
• Stay abreast of the latest research developments in AI through literature review, attending conferences, and tech-sharing sessions with fellow team members.
• Exhibit a strong drive to deliver optimal solutions within tight timelines.
• Excellent analytical, critical thinking, and problem-solving skills.
• Strong communication and organizational skills. Mentoring experience and skills are a plus.
• Comprehensive documentation of technical specifications, architectural designs, and best practices.

The role involves conducting thorough research to support the production of high-quality video content, from documentaries and series to news package. The ideal candidate will have a passion for storytelling, a keen eye for detail, and the ability to work effectively in a fast-paced production environment.

Responsibilities:

1. **Research & Content Development**:
- Conduct in-depth research on various topics, including historical events, industry trends, and target audience preferences.
- Gather information from credible sources (articles, books, archives, interviews, etc.) to support video concepts and scripts.
- Compile background materials, facts, and data to enhance the accuracy and relevance of video projects.
- Collaborate with writers, producers, and directors to ensure that research aligns with creative and production goals.

2. **Script Support**:
- Assist in the story development by providing accurate and engaging research material.
- Fact-check scripts to ensure historical and factual accuracy, making necessary corrections as needed.
- Identify potential experts, interviewees, or locations relevant to the project.

3. **Content Sourcing**:
- Identify and source appropriate stock footage, images, music, and other visual/audio elements for production.
- Work with external libraries, archives, and rights holders to secure permissions for third-party content.

4. **Pre-Production Assistance**:
- Research and recommend filming locations, including coordinating logistics such as permits and local resources.
- Prepare briefing documents and reports to support the production team during pre-production planning.
- Help identify potential interview subjects or contributors relevant to the content.

Skills Required:

- Strong research skills with the ability to synthesize large amounts of information into concise, usable formats.

- Excellent communication and writing skills, preferably in both English and Chinese.

- Detail-oriented with a focus on accuracy and consistency.

- Ability to manage multiple projects simultaneously and meet tight deadlines.

- Familiarity with video production processes, including pre-production, production, and post-production.

- Proficient in using research tools, databases, and software (e.g., online archives, video databases, etc.)

NetVirta is a fast growing, venture-backed startup in the fashion fit technology space. If you’ve had difficulty shopping online because you couldn’t find clothing or footwear that fit, you’ve experienced the problem we address. It’s an issue that troubles shoppers around the world and NetVirta is uniquely positioned to solve it.

Founded by two MIT graduates and located in Boston and Singapore, NetVirta is the world’s leading fit technology provider for medical, retail and sports equipment brands, helping customers order the right size with precision 3D body scanning. We began serving the medical industry in 2013, helping doctors scan medical patients to create custom-fit orthotics and prosthetics. In 2017, we expanded to enable NFL and NCAA football players to obtain custom-fit helmets. Fast forward to 2022, NetVirta’s closed deals with multiple clothing and footwear brands in North America, Europe, and Asia.

We are proud to be certified as Great Place to Work® in Singapore.

What can you expect?

We are seeking a Machine Learning Engineer / Researcher who will assist the development and deployment of advanced machine learning models to power our recommendation system and search engine. In this role, you will have opportunities to work with state-of-the-art AI techniques, including large language and vision models, integrating them to complement our recommendation system and search architecture. You will also play a vital role in maintaining and evolving our AI systems throughout the different growth stages.

Responsibilities

• Build scalable recommendation and search engines tailored to fashion content.
• Lead the design, development, and optimization of machine learning models, especially in the context of fashion recommendation systems and search engines.
• Integrate various techniques to help tackle cold start problems, including

1. Content-based recommendation
2. Leveraging implicit user interaction signals
3. Large language (vision) models

Required Skills & Experience

• Bachelor’s, Master’s or PhD degree in Machine Learning, Computer Science, or a related field.
• Experience with Python and machine learning frameworks (eg., TensorFlow, PyTorch).
• Prior hands-on experience with recommendation & search systems and knowledge of its key components (retrieval, re-ranking, cold-start, etc).
• Familiarity with using large language models and computer vision techniques.
• Ability to collaborate in a fast-paced, cross-functional environment with strong communication and teamwork skills.

Good-To-Have

• Knowledge of reinforcement learning (e.g. multi-armed bandits and related techniques).
• Prior industry experience with A/B tests in the context of recommendation systems.
• Good understanding of the infrastructure behind large-scale recommendation and search systems.

What else is awaiting you?

• Career development opportunities, like mentoring, career exploration through a Japanese concept called Ikigai.
• Learning is fundamental to our culture, your growth together with Netvirta's are paramount to how we can transform the industry.
• Besides hard work, we value your well-being and want you to have fun too! Attractive compensation and benefits as well as engagement and welfare activities awaits you.
• Work alongside with friendly colleagues in a positive environment.

NetVirta is a fast growing, venture-backed startup in the fashion fit technology space. If you’ve had difficulty shopping online because you couldn’t find clothing or footwear that fit, you’ve experienced the problem we address. It’s an issue that troubles shoppers around the world and NetVirta is uniquely positioned to solve it.

Founded by two MIT graduates and located in Boston and Singapore, NetVirta is the world’s leading fit technology provider for medical, retail and sports equipment brands, helping customers order the right size with precision 3D body scanning. We began serving the medical industry in 2013, helping doctors scan medical patients to create custom-fit orthotics and prosthetics. In 2017, we expanded to enable NFL and NCAA football players to obtain custom-fit helmets. Fast forward to 2022, NetVirta’s closed deals with multiple clothing and footwear brands in North America, Europe, and Asia.

We are proud to be certified as Great Place to Work® in Singapore.

What can you expect?

We are seeking a Machine Learning Engineer / Researcher who will lead the development and deployment of advanced machine learning models to power our recommendation system and search engine. In this role, you will have opportunities to work with state-of-the-art AI techniques, including large language and vision models, integrating them to complement our recommendation system and search architecture. You will also play a vital role in maintaining and evolving our AI systems throughout the different growth stages.

Responsibilities

• Build scalable recommendation and search engines tailored to fashion content.
• Lead the design, development, and optimization of machine learning models, especially in the context of fashion recommendation systems and search engines.
• Integrate various techniques to help tackle cold start problems, including

1. Content-based recommendation
2. Leveraging implicit user interaction signals
3. Large language (vision) models

Required Skills & Experience

• Bachelor’s, Master’s or PhD degree in Machine Learning, Computer Science, or a related field.
• Experience with Python and machine learning frameworks (eg., TensorFlow, PyTorch).
• Prior hands-on experience with recommendation & search systems and knowledge of its key components (retrieval, re-ranking, cold-start, etc).
• Familiarity with using large language models and computer vision techniques.
• Ability to collaborate in a fast-paced, cross-functional environment with strong communication and teamwork skills.

Good-to-Have

• Knowledge of reinforcement learning (e.g. multi-armed bandits and related techniques).
• Prior industry experience with A/B tests in the context of recommendation systems.
• Good understanding of the infrastructure behind large-scale recommendation and search systems.

What else is awaiting you?

• Career development opportunities, like mentoring, career exploration through a Japanese concept called Ikigai.
• Learning is fundamental to our culture, your growth together with Netvirta's are paramount to how we can transform the industry.
• Besides hard work, we value your well-being and want you to have fun too! Attractive compensation and benefits as well as engagement and welfare activities awaits you.
• Work alongside with friendly colleagues in a positive environment.

Duties and Responsibilities

• Perform research to discover vulnerabilities in operating systems, software applications and hardware devices through code audit, black box testing and reverse engineering.
• Develop and enhance processes and tools for the discovery and triage of vulnerabilities.
• Research into new vulnerability discovery techniques and processes.

Requirements

• Bachelor's degree in a computer science or engineering field or equivalent a minimum of 3 years of relevant experience.
• Strong reverse engineering skills and experienced in reverse engineering complex software applications or operating system components.
• Up-to-date knowledge on different type of software vulnerabilities, and experienced in performing vulnerability discovery on any operating system, software applications or hardware devices.
• Up-to-date knowledge on modern exploitation techniques and hands-on experience in bypassing exploitation mitigation technologies gained through developing proof-of-concept exploits.
• Experience in using and current static and dynamic software analysis tools and techniques in reverse engineering and vulnerability discovery process. Able to adapt and extend existing manual or automated tools to better support the work.
• Development experience in C /C++ or scripting languages (e.g. Python, Ruby).

As a Cyber Security Researcher, you will be conducting research and development work to deliver comprehensive security assessment on cyber security technologies (e.g. network-based and host-based threat detection and protection systems).

Specifically, successful applicants will:

• Evaluate the effectiveness of cyber security products in protecting cyber assets (i.e. against their stated capabilities).
• Research, reverse engineer and analyze cyber security products for potential weaknesses and propose mitigation and remediation solutions.
• Create proof of concept code to demonstrate the identified security issues.
• Develop and enhance processes and tools for the testing and evaluation of cyber security products.

Requirements:

• Bachelor's degree in a computer science or engineering field or equivalent practical experience.
• Have strong interest or relevant experience in the following:

o Analyzing system and network behavior and activities on common operating systems such as Windows.

o Monitoring and analyzing network traffic and packet captures.

o Reverse engineering of software applications or systems.

o Understanding of Operating System Kernels.

o Developing host-based or network-based cyber security products.

• Proficient in some programming or scripting language, e.g. C /C++, x86/x64 assembly, Java, Ruby, or Python.
• Familiarity with major Operating Systems (Microsoft Windows, Linux).
• Prior developing/reversing experience with Operating System’s Driver will be an advantage.

Preferred Skills /Qualities:

• Good analytical and technical skills

Dada Consultants is looking for students to come in and help us with a talent mapping project on a part-time hourly basis, likely to last for 2-3 weeks.

This is a great opportunity to work and learn alongside a top headhunting team in Singapore on a freelance basis!

Duration - immediate start till 1st week of Nov (possibility to extend)

Time commitment - commit at least 4 hours daily onsite in our office (negotiable)

Work location - Kent Ridge

Role - conduct cold call to do market mapping and talent research

Pay - hourly rate in cash $10 per hour

If you have experience in cold calling, sales talk, and can start immediately - please share across your CV to Desmond @ 80399702

Securing the Future with AvePoint

AvePoint is a global leader in data management and governance, trusted by over 21,000 customers worldwide to enhance their digital workplaces across Microsoft, Google, Salesforce, and other collaboration platforms. Our global channel partner program includes more than 3,500 managed service providers, value-added resellers, and systems integrators, with our solutions featured in over 100 cloud marketplaces. To learn more, visit www.avepoint.com.

At AvePoint, we are dedicated to investing in our people. Our culture, driven by agility, passion, and teamwork, empowers you to shape your career, make a significant impact, and take ownership of your future. Discover how you can unleash your potential with us!

Job Summary:

We are seeking multiple Postdoctoral Researchers specializing in Machine Learning (ML) and Artificial Intelligence (AI) to join our innovative research team. These positions focus on areas such as machine learning, deep learning, reinforcement learning, expert systems, and interdisciplinary AI/ML research. If you have a strong theoretical foundation paired with an empirical approach, this role will allow you to explore cutting-edge solutions with practical industry applications.

Key Responsibilities:

• Conduct innovative research in areas like machine learning, deep learning, expert systems, and AI.
• Define and pursue specific research objectives in alignment with the company’s innovation goals.
• Collaborate with other researchers and cross-functional teams to develop and deploy AI solutions that address real-world industry challenges.
• Maintain and update research documentation, prototypes, and tools.
• Present research findings and insights to both technical and non-technical stakeholders.
• Stay updated on the latest advancements in AI and data science.
• Assist with administrative tasks related to research projects.

Qualifications/Requirements:

• PhD in Computer Science, Statistics, Applied Mathematics, or related fields, with a focus on artificial intelligence.
• Min. 7-10 years of hands-on experiences in machine learning modelling, NLP and conversational AI.
• Proficiency in programming languages such as Python, R, Matlab, Julia, C/C++, etc.
• Proven analytical and problem-solving skills, with an innovative approach to research.
• Experience developing AI solutions for industry applications is an advantage.
• Strong publication record as a first-author in peer-reviewed journals, conferences, or book chapters.

What We Are Looking For:

• Commitment to continuous learning and professional development.
• Initiative, proactive work ethic, and motivation to explore new research areas.
• Adaptability and openness to change in a fast-paced environment.
• Ability to collaborate effectively within cross-functional teams and with diverse stakeholders.
• Excellent verbal and written communication skills.
• A strong sense of responsibility and dependability in delivering results.

This is a fantastic opportunity to work on the frontlines of AI/ML research and make an impact in shaping real-world applications. If you are passionate about AI and want to explore solutions that influence global industries, we want to hear from you!

Any personal data you share with us during the application process will be processed strictly in compliance with applicable data protection laws and our Privacy Notice.

Securing the Future with AvePoint

AvePoint is a global leader in data management and governance, trusted by over 21,000 customers worldwide to enhance their digital workplaces across Microsoft, Google, Salesforce, and other collaboration platforms. Our global channel partner program includes more than 3,500 managed service providers, value-added resellers, and systems integrators, with our solutions featured in over 100 cloud marketplaces. To learn more, visit www.avepoint.com.

At AvePoint, we are dedicated to investing in our people. Our culture, driven by agility, passion, and teamwork, empowers you to shape your career, make a significant impact, and take ownership of your future. Discover how you can unleash your potential with us!

Job Summary:

We are seeking multiple Postdoctoral Researchers specializing in Machine Learning (ML) and Artificial Intelligence (AI) to join our innovative research team. These positions focus on areas such as machine learning, deep learning, reinforcement learning, expert systems, and interdisciplinary AI/ML research. If you have a strong theoretical foundation paired with an empirical approach, this role will allow you to explore cutting-edge solutions with practical industry applications.

Key Responsibilities:

• Conduct innovative research in areas like machine learning, deep learning, expert systems, and AI.
• Define and pursue specific research objectives in alignment with the company’s innovation goals.
• Collaborate with other researchers and cross-functional teams to develop and deploy AI solutions that address real-world industry challenges.
• Maintain and update research documentation, prototypes, and tools.
• Present research findings and insights to both technical and non-technical stakeholders.
• Stay updated on the latest advancements in AI and data science.
• Assist with administrative tasks related to research projects.

Qualifications/Requirements:

• PhD in Computer Science, Statistics, Applied Mathematics, or related fields, with a focus on artificial intelligence.
• Min. 2-5 years of hands-on experiences in machine learning modelling, NLP and conversational AI.
• Proficiency in programming languages such as Python, R, Matlab, Julia, C/C++, etc.
• Proven analytical and problem-solving skills, with an innovative approach to research.
• Experience developing AI solutions for industry applications is an advantage.
• Strong publication record as a first-author in peer-reviewed journals, conferences, or book chapters.

What We Are Looking For:

• Commitment to continuous learning and professional development.
• Initiative, proactive work ethic, and motivation to explore new research areas.
• Adaptability and openness to change in a fast-paced environment.
• Ability to collaborate effectively within cross-functional teams and with diverse stakeholders.
• Excellent verbal and written communication skills.
• A strong sense of responsibility and dependability in delivering results.

This is a fantastic opportunity to work on the frontlines of AI/ML research and make an impact in shaping real-world applications. If you are passionate about AI and want to explore solutions that influence global industries, we want to hear from you!

Any personal data you share with us during the application process will be processed strictly in compliance with applicable data protection laws and our Privacy Notice.

As a UX Designer cum Consultant at SANDP1T, you will work on projects that impact the lives of many. From Enterprise Login and Payment Gateways to Training and Learning Management Systems, over 1,000,000 users will be using your systems. We are looking for people with passion to grow and learn with us.

You will actively contribute to the SANDP1T community by providing feedback and alternately sharing knowledge that can benefit others and fostering a supportive environment for budding UX & UI practitioners. Your familiarity with providing design advice, guidelines, and recommendations, coupled with your ability to drive the organisation to achieve success, ensures the creation of delightful user experiences (UX) in digital products for clients. You will need to apply design thinking to our approach, solving design problems from start to finish. This includes identifying user needs, generating concepts, defining and creating the product, and shaping how people will interact with it. You'll also be responsible for developing the product's overall functionality and improving it through user testing to create an exceptional user experience.

You will be

• Cross-collaborating with Service Delivery Leads, Business Analysts, Developers, on concept development and design ideation to deliver user-centric digital product for clients
• Working with the Developer team to identify, conceptualise and solve problems to enhance the overall user experience and maximise business impact.
• Supporting the Business Development team by working on pitches and geerating suggestions for prospective work
• Demonstrating high-quality design practices including in all aspect of UI and UX: research, analysis, ideation, testing, interaction design and visual design
• Fostering a collaborative and positive environment within the team while sharing knowledge and providing feedback on internal practices for continuous improvement and excellence. This may involve suggesting new ideas or approaches, or providing constructive feedback on current processes
• Conceptualising designs with well-grounded UIUX theories and practical knowledge
• Driving the UX, business and technical conversations with the team and clients
• Staying abreast with new technologies, industry trends and promoting a culture of learning and innovation
• Driving ideas from start to finish and advocating for best practices through design architecture and live implementation
• Facilitate Design Thinking workshops with clients to align project vision and strategy for an end-to-end design process
• Above all, have fun playing a key role in creating and leading digital experience across

Personality traits

• Excellent diplomacy and communication skills
• Fastidious attention to detail and good time management
• Confident in putting forth design concepts and ideas
• Collaborative, whilst taking responsibility for your work
• Highly communicative and responsive to the team and clients while managing multiple ongoing projects
• Deep knowledge of various UIUX design disciplines
• Comfortable with ambiguity
• Strong sense of accountability and responsibility
• Resourceful and able to work independently

Our Recruitment Process

• You should submit your application along with your resume which includes your portfolio link.
• After submitting your application, we will review your resume, portfolio, and alignment with our requirements. Qualified candidates will be given a 7-day take-home design challenge to demonstrate your UX approach, creativity, and problem-solving skills.
• If you pass the challenge, you will be invited for the interview where you will present your portfolio and design challenge. This session will allow us to discuss your experience and knowledge in the field.
• Based on the interview results, we will determine if further interviews are needed. If you are selected, our HR team will reach out to you with an offer and next steps.

Our Benefits

• Competitive remuneration package
• Flexible work schedule and remote work options
• Career progression opportunities
• Medical Insurance Coverage
• Open & Transparent Culture with a flat hierarchy

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

The Institute for Applied Learning Sciences and Educational Technology (ALSET) (to be renamed Centre for Holistic Inquiry into Lifelong Learning (CHILL)) has an opening for a UI/UX Researcher (Research Assistant) role.

The User Researcher will utilize data analytics to understand and analyze the needs, behaviours, and motivations of users to inform the design and development of a system for designing inclusive blended learning solutions for diverse learner populations. This involves:

• Gathering raw data from various sources such as databases, data warehouses, social media, and more.
• Preparing the data for analysis by removing inaccuracies, inconsistencies, and redundancies.
• Applying statistical and mathematical models to the data to identify relationships, correlations, and causations.
• Conducting various research activities such as interviews, surveys, and focus groups to gather both qualitative and quantitative data from users.
• Synthesizing qualitative data through thematic analysis and interpreting quantitative data using statistical methods.
• Creating visualizations to interpret and communicate findings from collected data.
• Translating research findings into actionable insights and recommendations, guiding the design and development process to ensure the final product meets user needs effectively.

Additionally, the researcher will work in the broader field of Human Computer Interaction (HCI) on researching user experience where they would be developing, prototyping and conducting usability testing. The Designer will also be involved in developing various artefacts contributing to the Technology Enhanced Learning (TEL) aspect of HCI research, and leading appropriate research activities.

Qualifications

• Bachelor’s Degree in Information Systems or related fields.
• At least 1-2 years’ experience in user research and data analytics using technologies such as Tableau, R and Python.
• Experience in databases such as MongoDB, MySQL, PostgreSQL is preferred.
• Experience in technologies such as React, Node is an added plus.
• Prior research experience is advantageous.
• Strong analytical skills and proficiency in data analytics tools.
• Excellent communication skills (written and verbal) and interpersonal skills.

The Singapore Institute of Technology (SIT) is a prominent public university in Singapore, renowned for its applied learning approach and strong industry partnerships. Established in 2009, SIT aims to provide a distinctive education by integrating academic knowledge with real-world skills. This model helps produce graduates who are highly employable and equipped to meet the evolving demands of the industry.

Adopting a user-centric model, Design Factory@SIT (DF@SIT)seeks to support industry partners through collaborative innovation projects, thereby creating authentic interdisciplinary and collaborative learning opportunities for students and enhance the workplace learning continuum.

As a member of the Design Factory Global Network, DF@SIT will collaborate with a network of innovation hubs in universities and research organizations across five continents in the world, across cultures, time zones and organizational boundaries to foster radical innovations. DF@SIT seeks to help students, academic staff and companies employ design-led innovation tools to pilot ideas and build roadmaps for the changing marketplace.

The Design Researcher and Lab Manager will be responsible for conducting user-centered research, managing lab operations, establishing, and managing internal and external partners and stakeholders, social media creation and maintenance, and ensuring that the lab and team functions efficiently. This dual role involves a blend of hands-on research, project management, and operational duties to support our design and innovation initiatives.

Key Responsibilities

Design Research

• Conduct qualitative and quantitative research to gather insights into user behaviors, needs, and motivations.
• Plan, execute, and analyze various research methodologies including user interviews, usability testing, surveys, and field studies.
• Collaborate with cross-functional teams to integrate research findings into the design and development process.
• Synthesize complex data into clear and actionable insights, reports, and presentations.
• Advocate for the user perspective and ensure that user experience is a key consideration in all product and service development.

Centre Management

• Oversee the day-to-day operations of the design research lab, ensuring it is equipped, organized, and functioning efficiently.
• Ensure all research tools and equipment are up-to-date, properly maintained, and calibrated.
• Coordinate with IT and facilities teams to troubleshoot and resolve any technical or operational issues.
• Manage the lab budget, including procurement of supplies and equipment, and track expenses.

Project Management

• Lead and coordinate research projects from initial briefing to final delivery, ensuring timely and successful completion.
• Collaborate with stakeholders to define research goals, timelines, and deliverables.
• Manage relationships with external research partners and vendors as needed.
• Provide mentorship and guidance to junior researchers and lab staff.

Social Media Management

• Develop and execute a comprehensive social media strategy aligned with the company's marketing goals and brand identity.
• Create, curate, and manage engaging content across all social media platforms (e.g., Facebook, Instagram, Twitter, LinkedIn, TikTok, etc.).
• Foster and grow online communities by actively engaging with followers, responding to comments and messages, and initiating conversations.
• Prepare regular reports on social media metrics and provide actionable recommendations for improvement.

Qualifications

Education

• Bachelor’s degree in Design, Engineering, Human-Computer Interaction (HCI), Psychology, Anthropology, Sociology, Fine Art, Media & Communications, Business, Marketing, or a related field.

Experience

• 3-5 years of experience in user research, design research, or a related field.
• Proven experience in managing a creative office or similar environment.
• Strong background in both qualitative and quantitative research methodologies.

Skills

• Excellent analytical skills with the ability to translate data into meaningful insights.
• Strong organizational and project management skills.
• Exceptional communication and presentation skills.
• Ability to work collaboratively in a multidisciplinary team environment.

Attributes

• Detail-oriented with a high level of accuracy in work.
• Innovative thinker with a passion for understanding human behavior.
• Self-motivated and capable of managing multiple projects simultaneously.
• Strong advocate for user-centered design and research-driven decision making.

Introduction

In collaboration with the Woodlands Health (WH) and the National Health Group (NHG), the Rehabilitation Research Institute of Singapore (RRIS), the Nanyang Technological University (NTU), and SingHealth, SEC is undertaking a research programme on "Built Environment and physical activity in Falls and Arthritis study (BE FIT)". It addresses imminent health challenge on moving away from “sickcare” and pivoting towards preventive healthcare as part of the nationwide effort on Healthier SG. Within BE-FIT we envision motivating vulnerable older adults to engage in healthy behavior by providing recommendations on improving accessibility (as well as preception thereof), in urban environment for uptake of physical activity. A deeper understanding of the interactions and interplay between Built Environment (BE) and the high burden of falls and osteo-arthritis (OA) as proposed within the BE-FIT is crucial towards informing data-driven decisions on urban design and how the mobility-impaired elderly interact with their physical environment. Within the BE-FIT framework we are advertising the job position for a postdoctoral researcher.

Project Background

Falls result in severe physical as well as psychological impact among older adults. Beyond physical implications on injury-related trauma and in severe cases death, the psychosocial impact of falling can also be excruciating. Fear of falling can result in vicious cycles of decreased activity as well social isolation. These in turn lead to lower muscle strength and higher risk of future falls. In a similar manner, osteo-arthritis (OA) can lead to fear of movement (kinesiophobia) resulting in reduction of physical activity levels.

Task/Job Description

We will investigate movement patterns and features of walking outdoors and in the neighbourhoods among vulnerable older adults (suffering from OA as well as at high risk of falling) in order to understand perceptions on interacting with built environment. We will acquire these movement patterns and features using the state-of-the art inertial measurement units (wearables such as ZurichMOVE or Axivity) sensors. These sensors are equipped with triaxial accelerometers and gyrospcopes and provide assessment of aspects such as impact and swing behaviour during different movements. Specifically we will be addressing the following research questions:

1. What are the kinematic characteristics of walking among older adults with OA and/or previous falls under ecological settings (neighbourhoods)?
2. Do the kinematic characteristics of naturalistic walking predict physical activity rates?
3. Does the design of walkways (including overall layout, e.g. design of curbs, pathways etc and accessibility features e.g. size of the curbs, or height of side walk, ramps vs stairs) impact overall levels of physical activity as well as specifics of walking quality?

Specific to the Position:

The general concept is to generate machine learning as well as statistics-based models to extract movement patterns from movement/locomotion/walking/gait dataset collected via wearable sensors. The gait data from multiple sensors will be collected while participants (older adults) move/walk/transition for both short (up to 10 minutes) as well as long (over multiple days) periods of time. This data will be complemented with data from our collaborators on walkability assessment, where we evaluate naturalistic observation on individual’s daily routes and outdoor activities. Finally, we will also tap into questionnaire data involving individuals’ fall history, psychosocial status as well as cognitive ability, as well as their perception of the built environment. The primary task will be to extract features (gait signatures, but also artificial “machine learned” features) that allow us to assess fall risk in an individualized manner. Crucial aspects are the interpretability and repeatability of these signatures as these aspects will allow clinical as well as stakeholder uptake. Another important aspect for uptake is the association (via analysis as well as interpretation) of these features to the walkability as well as clinical assessment to provide a hybrid ‘mapping’ of the manner in which older adults interact with their environment.

Requirements:

• Minimum 2 years of experience in machine or deep learning with a background (PhD) in computer science, computer vision, neuroscience, physics or biomedical and/or other engineering fields.
• Expertise in predictive model development, especially for healthcare applications.
• A solid understanding in experimental design, feature extraction, selection, and analysis, as well as tailoring machine/deep learning techniques to hybrid datasets including clinical battery, and objective physiological (movement) datasets.
• A strong foundation in deep and machine learning algorithms, statistical analysis, and study design from ideation to evaluation and validation.
• A strong publication record especially in area of artificial intelligence and machine learning.
• Presentations at conferences and participation in workshops is desired.
• Programming skills: Expert in Python (PyTorch as well as the use of libraries).
• Experience/expertise in working with Matlab and/or R (or any other statistical software e.g. SAS).
• Previous experience with physiological (such as heart rate via an ECG or also EEG) datasets is desired, but not a must-have.
• A solid foundation of machine learning frameworks such as Tensorflow and algorithms, statistical analysis, and study design from ideation to evaluation and validation.
• Experience with GUI development is desired.
• Personal: Are you motivated to work on challenging problems? Can you work independently on a project level demonstrating problem solving skills? Do you see yourself fitting in with the team of multinational group of biomechanists, engineers as well as health-care and clinical scientists? Do you have a penchant for collaborating - maintaining channels of communication - with lab/team members but also worldwide? If yes, this job might just be for you.

Information about the application process and contact for applicants

Questions regarding the position should be directed to Navrag Singh, PhD, via email [email protected].

We look forward to receiving your online application with the following documents:

• A cover letter outlining your motivation and experience in the field of machine-learning and bioengineering with a focus towards practical applications in healthcare
• Curriculum Vitae or Resume
• List of publications and abstracts of presentations at conferences
• Certificates (e.g. PhD and Master’s degree)
• Transcripts of records

Please note that we exclusively accept applications submitted through our online application portal. Applications via email or postal services will not be considered.

Further information about BE-FIT Project can be found on our website: https://sec.ethz.ch; https://fht.ethz.ch

Work location: 1 Create Way, CREATE Tower, Singapore 138602 (NUS University Town)

The Singapore-ETH-Centre is an equal opportunity and family-friendly employer. All candidates will be evaluated on their merits and qualifications, without regards to gender, race, age or religion.

Duties and Responsibilities

• Perform research to discover vulnerabilities in operating systems, software applications and hardware devices through code audit, black box testing and reverse engineering.
• Develop and enhance processes and tools for the discovery and triage of vulnerabilities.
• Research into new vulnerability discovery techniques and processes.

Requirements

• Bachelor's degree in a computer science or engineering field or equivalent a minimum of 3 years of relevant experience.
• Strong reverse engineering skills and experienced in reverse engineering complex software applications or operating system components.
• Up-to-date knowledge on different type of software vulnerabilities, and experienced in performing vulnerability discovery on any operating system, software applications or hardware devices.
• Up-to-date knowledge on modern exploitation techniques and hands-on experience in bypassing exploitation mitigation technologies gained through developing proof-of-concept exploits.
• Experience in using and current static and dynamic software analysis tools and techniques in reverse engineering and vulnerability discovery process. Able to adapt and extend existing manual or automated tools to better support the work.
• Development experience in C /C++ or scripting languages (e.g. Python, Ruby).

As a Cyber Security Researcher, you will be conducting research and development work to deliver comprehensive security assessment on cyber security technologies (e.g. network-based and host-based threat detection and protection systems).

Specifically, successful applicants will:

• Evaluate the effectiveness of cyber security products in protecting cyber assets (i.e. against their stated capabilities).
• Research, reverse engineer and analyze cyber security products for potential weaknesses and propose mitigation and remediation solutions.
• Create proof of concept code to demonstrate the identified security issues.
• Develop and enhance processes and tools for the testing and evaluation of cyber security products.

Requirements:

• Bachelor's degree in a computer science or engineering field or equivalent practical experience.
• Have strong interest or relevant experience in the following:

o Analyzing system and network behavior and activities on common operating systems such as Windows.

o Monitoring and analyzing network traffic and packet captures.

o Reverse engineering of software applications or systems.

o Understanding of Operating System Kernels.

o Developing host-based or network-based cyber security products.

• Proficient in some programming or scripting language, e.g. C /C++, x86/x64 assembly, Java, Ruby, or Python.
• Familiarity with major Operating Systems (Microsoft Windows, Linux).
• Prior developing/reversing experience with Operating System’s Driver will be an advantage.

Preferred Skills /Qualities:

• Good analytical and technical skills

At InnoEdge, we work with organisations to protect them from cyber threats. We help detect new unknown cyber threats through research, fortify networks, and defend critical information infrastructures. Based in Singapore, our team consists of cybersecurity experts who use the advanced techniques and technologies to deliver cutting-edge solutions and services.

InnoEdge believes in fostering a culture where team members are encouraged to overcome challenges, explore new ideas, and work together to succeed. We value individuals who are determined to push beyond the boundaries, and have a thirst for knowledge, continuous learning, and self-improvement.

Collaboration is key to our success. We prioritise open communication, constructive feedback, and a willingness to help others. We are committed to creating a supportive work environment that encourages excellence, innovation, and continuous improvement. We're looking for individuals who share our values and are excited to join us on our cyber mission.

Responsibilities:

• Recommend direction for research projects and conceptualize new tools/techniques that will enhance the vulnerability discovery process.
• Mentor and guide new researchers in the area of web application vulnerability research.
• Perform deep research into web applications with complex codebases to understand the attack surface for an attacker to abuse.
• Ideate hypothesis as to how an attacker could possibly abuse features in the application and validate if hypothesis holds true.
• Develop proof of concept to demonstrate the severity of the discovered vulnerability and propose mitigations.
• Develop cutting edge tools to improve and scale up the vulnerability discovery process for web applications.
• Keep abreast of the latest research into web security and vulnerabilities detection techniques.
• Level up the local security community through mentorship of aspiring security researcher, publishing blog post and speaking at conferences.

Minimum Qualifications

-Demonstrated ability to

• Perform attack surface analysis and prioritization of research on a web application.
• Independently apply static/dynamic analysis techniques to find low lying bugs in a web application.
• Discover and exploit vulnerability in web applications.
• Deep understanding of web programming languages (PHP, Java, Python, .Net…), web frameworks, typical web vulnerabilities and how they are commonly exploited.
• Track record of having found vulnerabilities in the last 4 years.

-For a more senior role, we're looking for candidates with:

• Fluency in assembly language (x86/64)
• Experience in debugging, reverse engineering binary and exploiting memory corruption and logic vulnerabilities.
• Track records in these areas:
  • Consistency in discovering security-related vulnerabilities and demonstrating their impact.
  • Performing research on a complex web application by a major vendor (e.g. WordPress), applying attack surface analysis and prioritization, and performing various static and dynamic analysis techniques to find bugs in the different components.
  • Discovering and exploiting security vulnerabilities in in a complex application by a major vendor (e.g. Exchange, WordPress).

If you meet these qualifications and are passionate about cyber security, we encourage you to apply for this exciting opportunity. We offer competitive compensation, a comprehensive benefits package, and a collaborative and dynamic work environment.

At InnoEdge, we work with organisations to protect them from cyber threats. We help detect new unknown cyber threats through research, fortify networks, and defend critical information infrastructures. Based in Singapore, our team consists of cybersecurity experts who use the advanced techniques and technologies to deliver cutting-edge solutions and services.

InnoEdge believes in fostering a culture where team members are encouraged to overcome challenges, explore new ideas, and work together to succeed. We value individuals who are determined to push beyond the boundaries and have a thirst for knowledge, continuous learning, and self-improvement.

Collaboration is key to our success. We prioritise open communication, constructive feedback, and a willingness to help others. We are committed to creating a supportive work environment that encourages excellence, innovation, and continuous improvement. We're looking for individuals who share our values and are excited to join us on our cyber mission.

Responsibilities

• Recommend direction for research projects and conceptualize new tools/techniques that will enhance the vulnerability discovery process.
• Provide mentorship and guidance to new researchers in your main domain of research.
• Perform deep research to understand possible attack surface for an attacker to abuse to gain access to a target system.
• Reverse engineer and/or apply static and/or dynamic analysis techniques on applications to surface vulnerabilities.
• Develop cutting edge fuzzers and static/dynamic analysis tools to scale up the vulnerability discovery process.
• Keep abreast of the latest research in security research and vulnerabilities detection techniques.
• Level up the local security community through mentorship of aspiring security researcher, publishing blog post and speaking at conferences.

Minimum Qualifications:

• Demonstrated ability to perform the following tasks to find bugs in modern software, hardware, or mobile devices.

1. Perform attack surface analysis and prioritize areas to investigate for possible vulnerabilities.
2. Independently apply various vulnerability discovery techniques.
3. Discover and exploit vulnerabilities.

• Deep understanding of internals and common exploitation techniques for area of expertise (i.e. Windows, Android, Browser, …)
• Track record of having found security vulnerabilities in the last 4 years.

For a more senior role, we're looking for candidates who have track records in these areas:

• Consistency in discovering security-related vulnerabilities and demonstrating their impact .
• Performing research on Windows/Android/iOS/Linux Kernel or a complex application by a major vendor, applying attack surface analysis and prioritization, and performing various static and dynamic analysis techniques to find bugs in the different components.
• Discovering and exploiting security vulnerabilities in Windows/Android/iOS/Linux Kernel or a complex application by a major vendor.

If you meet these qualifications and are passionate about cyber security, we encourage you to apply for this exciting opportunity. We offer competitive compensation, a comprehensive benefits package, and a collaborative and dynamic work environment.