The Research Assistant / Senior Research Assistant will conduct research in deep learning and Artificial Intelligence, perform experiments, and publish research papers in top-tier venues.

Qualifications & Experiences:

• Bachelor's / Master's degree in computer science, engineering, or a related field with a focus on computer vision, and an advanced level of understanding and expertise in the field.
• Proficiency in programming languages (Python)
• Familiarity with computer vision libraries and tools (such as OpenCV, TensorFlow, PyTorch) is essential.

Responsibilities

Established in 2023, the ByteDance Doubao (Seed) Team is dedicated to building industry-leading AI foundation models. We aim to do world-leading research and foster both technological and social progress.

With a long-term vision and a strong commitment to the AI field, the Team conducts research in a range of areas including natural language processing (NLP), computer vision (CV), and speech recognition and generation. It has labs and researcher roles in China, Singapore, and the US.

Leveraging substantial data and computing resources and through continued investment in these domains, our team has built a proprietary general-purpose model with multimodal capabilities. In the market, Doubao models power over 50 ByteDance apps and business lines, including Doubao, Coze, and Dreamina, and was launched to external enterprise clients through Volcano Engine. The Doubao app is the most used AIGC app in China.

Why Join Us

Creation is the core of ByteDance's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible. Together, we inspire creativity and enrich life - a mission we aim towards achieving every day. To us, every challenge, no matter how ambiguous, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always. At ByteDance, we create together and grow together. That's how we drive impact - for ourselves, our company, and the users we serve. Join us.

About the team

Welcome to the GAI-Vision team, where we lead the way in developing foundational models for multi-modal visual understanding and generation. Our mission is to solve the challenge of visual intelligence in AI. We conduct cutting-edge research on areas such as vision and language, large-scale vision models, and generative foundation models. Comprising experienced research scientists and engineers, our team is dedicated to pushing the boundaries of foundation model research and implementing our innovations across diverse application scenarios. We foster a feedback-driven environment to continuously enhance our foundation technologies. Come join us in shaping the future of AI and transforming the product experience for users worldwide.

Responsibilities

- Explore large-scale/ultra-large-scale visual models and perform system optimization. Data construction, instruction fine-tuning, preference alignment, model optimization.

- Conduct cutting-edge research and development in computer vision, natural language processing, machine learning and general artificial intelligence, especially in the areas of multi-modality, vision and language, etc.

- Publish our latest research results, and help to build our brand in the research community.

- Explore vision/multi-modality application models, and contribute to the development of new technologies and products leveraging artificial intelligence.

Qualifications

Minimum Qualifications

- Possess research and practical experience in one or more areas of computer vision, encompassing multi-modal understanding, vision-language models (e.g., video captioning, VQA, Text-to-video retrieval, and other related topics), large-scale training, RLHF, multimodal generation (e.g., text-to-image, image, video, 3D generation and editing), diffusion models, GANs, transformers for generation tasks.

- At least 3 years of working experience in research or with relevant working experiences;

- Experience with vision-language models and apply them in various downstream tasks.

- Possess coding skills in C/C++ and Python.

- Collaborate effectively with team members.

- Ability to work independently.

Preferred Qualifications

- Work with large-scale datasets, and build large-scale datasets to scale up foundation models.

- Demonstrate impactful publications in leading AI conferences (e.g., CVPR, ECCV, ICCV, NeurIPS, ICLR, SIGGRAPH, SIGGRAPH Asia) and journals (e.g., TPAMI, JMLR).

- Achievement as a winner in international academic competitions.

- Proficiency in one of the differentiable programming frameworks such as PyTorch, TensorFlow, JAX, etc.

ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

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

Research Fellow in Carbon-Negative Synthetic Biology and Engineering of Cyanobacterial Cell Factories

We are seeking one or more highly motivated and creative postdoctoral researchers to join our dynamic team at the Synthetic Biology for Clinical and Technological Innovation (SynCTI), Synthetic Biology Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore (NUS) and the National Centre for Engineering Biology (NCEB).

The selected candidate(s) will be part of an interdisciplinary collaboration across various research groups. Appointments will be initially made on a 1-year contract, with the possibility of extension. We welcome applications from PhD holders, including those without prior experience.

Ideal candidates will possess expertise in cyanobacteria engineering and the development of cell factories for bioproduction. We particularly encourage applicants with a background in carbon-negative synthetic biology and biochemical production from CO2. The successful candidate(s) will closely collaborate with Prof. Jee Loon Foo, Prof. Julius Fredens, and our research team to advance the frontier of synthetic biology in addressing real-world challenges.

Join us in shaping the future of innovative biotechnology and making significant progress towards sustainability and technological advancement!

Main Duties and Responsibilities

The Research Fellow is expected to:

1. Manage and drive one or more research projects, design and execute experiments, assimilate and interpret results;
2. Solve scientific problems, think independently, and suggest creative solutions;
3. Write papers together with the PI for publication in high-impact journals;
4. Mentor graduate and undergraduate students.

Qualifications

The applicant should:

• Hold a PhD degree in molecular biology, bioengineering, or a related field;
• Have experience conducting research with cyanobacteria and extensive knowledge and hands-on experience with general molecular biology. Experience with genome engineering, general microbiology, and metabolite analysis is favourable;
• Have a strong record of publications in international journals;
• Be able to work independently and in a team, have an investigative nature, and be attentive to details;
• Be passionate about science, self-motivated, naturally take ownership of assignments, and proactively propose solutions to arising obstacles.

Application

Formal application: Please submit your application of (1) letter of motivation describing the applicant's research interests and relevant experience; and (2) full CV (up to two pages) including personal particulars, academic and employment history, complete list of publications, and contact of 2 referees by 30 May 2024.

Application

Remuneration will be commensurate with the candidate's qualifications and experience. Appointments will be on a 1-year contract in the first instance, with the possibility of extension. Those with no experience are encouraged to apply.

Informal enquiries are welcome and should be made to Asst. Prof. Julius Fredens ([email protected]). Website: https://syncti.org/

Job Description

Chronic unresolved inflammation is a key pathogenic feature of prevalent inflammatory disorders and related syndromes that together are predicted to affect close to 60 million people with an annual cost of $90B. As such, the global anti-inflammatory therapeutic market is in urgent need for new targets for therapeutic intervention.

The Ho lab at Duke-NUS is building a platform to mine the human genome for novel determinants of the inflammatory response. We are seeking an experienced researcher who will participate and drive the execution of this platform in collaboration with other senior members of the team. The selected candidate will be expected to work at the bench as well as manage some aspects of the project such as administration of documentation required for smooth operations. Successful completion of the project will lead to opportunities for transition to industry roles. Candidates with strong technical ability and expertise in inflammation biology, and who are interested in taking discoveries from the lab through to commercialization are strongly encouraged to apply.

• Perform tasks and support all aspects of the research project.
• Cell culture and basic molecular biology (western blotting, PCR).
• Preparation of samples for NGS and proteomics analyses.
• Liaise with stakeholders including investors and grantors through regular meetings.
• Responsible for procurement related to the project such as vendor management, purchasing of laboratory supplies.
• Regulatory paperwork pertaining to the project (IRBs).
• Perform other related duties incidental to the work described therein.

Job Requirements

• Master’s Degree in Biology or related discipline. Candidates with PhD will be considered for Research Fellow appointment.
• At least 5 years of work experience in lab-based research.
• Track record of scientific output in inflammation biology (research publications).
• Demonstrated experience in molecular biology and cell culture.
• Experienced in project management and stakeholder management, and able to undertake independent research progressively.

We regret that only shortlisted candidates will be notified.

Responsibilities

Established in 2023, the ByteDance Doubao (Seed) Team is dedicated to building industry-leading AI foundation models. We aim to do world-leading research and foster both technological and social progress.

With a long-term vision and a strong commitment to the AI field, the Team conducts research in a range of areas including natural language processing (NLP), computer vision (CV), and speech recognition and generation. It has labs and researcher roles in China, Singapore, and the US.

Leveraging substantial data and computing resources and through continued investment in these domains, our team has built a proprietary general-purpose model with multimodal capabilities. In the market, Doubao models power over 50 ByteDance apps and business lines, including Doubao, Coze, and Dreamina, and was launched to external enterprise clients through Volcano Engine. The Doubao app is the most used AIGC app in China.

Why Join Us

Creation is the core of ByteDance's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible. Together, we inspire creativity and enrich life - a mission we aim towards achieving every day. To us, every challenge, no matter how ambiguous, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always. At ByteDance, we create together and grow together. That's how we drive impact - for ourselves, our company, and the users we serve. Join us.

About the team

Welcome to the GAI-Vision team, where we lead the way in developing foundational models for multi-modal visual understanding and generation. Our mission is to solve the challenge of visual intelligence in AI. We conduct cutting-edge research on areas such as vision and language, large-scale vision models, and generative foundation models. Comprising experienced research scientists and engineers, our team is dedicated to pushing the boundaries of foundation model research and implementing our innovations across diverse application scenarios. We foster a feedback-driven environment to continuously enhance our foundation technologies. Come join us in shaping the future of AI and transforming the product experience for users worldwide.

Responsibilities

- Explore large-scale/ultra-large-scale visual models and perform system optimization. Data construction, instruction fine-tuning, preference alignment, model optimization.

- Conduct cutting-edge research and development in computer vision, natural language processing, machine learning and general artificial intelligence, especially in the areas of multi-modality, vision and language, etc.

- Publish our latest research results, and help to build our brand in the research community.

- Explore vision/multi-modality application models, and contribute to the development of new technologies and products leveraging artificial intelligence.

Qualifications

Minimum Qualifications

- Possess research and practical experience in one or more areas of computer vision, encompassing multi-modal understanding, vision-language models (e.g., video captioning, VQA, Text-to-video retrieval, and other related topics), large-scale training, RLHF, multimodal generation (e.g., text-to-image, image, video, 3D generation and editing), diffusion models, GANs, transformers for generation tasks.

- Experience with vision-language models and apply them in various downstream tasks.

- Possess coding skills in C/C++ and Python.

- Collaborate effectively with team members.

- Ability to work independently.

Preferred Qualifications

- Work with large-scale datasets, and build large-scale datasets to scale up foundation models.

- Demonstrate impactful publications in leading AI conferences (e.g., CVPR, ECCV, ICCV, NeurIPS, ICLR, SIGGRAPH, SIGGRAPH Asia) and journals (e.g., TPAMI, JMLR).

- Achievement as a winner in international academic competitions.

- Proficiency in one of the differentiable programming frameworks such as PyTorch, TensorFlow, JAX, etc.

ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

Job Description

The Duke-NUS Laboratory for Translational and Molecular Imaging (LTMI), Duke-NUS Medical School, is recruiting a Research Fellow/Senior Research Fellow specialising in Nuclear Imaging within the Immuno-Oncology domain.

The successful candidate will lead pre-clinical imaging efforts to validate novel imaging probes that target immune cell biomarkers. He/She will be responsible for the strategic planning, execution and communication of research. Candidates with strong records of scientific accomplishment in radiopharmaceutical sciences, immunology or related disciplines are encouraged to apply.

• Lead development of nude, syngeneic, and humanised mouse tumour models, with characterisation of immunophenotype with treatment response
• Collaborate on in vivo imaging strategies for pre-clinical characterisation of targeting probe specificity and sensitivity with PET/CT, SPECT/CT and/or optical imaging
• Monitor immune response to immunotherapies with longitudinal imaging assessments, supported with IHC, FACS
• Ensure regulatory compliance of research, including legal and ethical requirements
• Ensure timely reporting and presentation of study results to the team, and making appropriate decisions on data obtained from imaging studies
• Write and review research papers, and present at local and international conferences
• Provide guidance and mentorship to junior researchers, graduate and/or undergraduate students
• Demonstrate effective organisation/project management abilities to efficiently manage time and work activities

Job Requirements

• PhD in Immunology/Radiopharmaceutical Sciences or related disciplines
• Experience in multimodality imaging and image analysis (including PET, SPECT, CT and fluorescence) within the immuno-oncology domain is preferred
• Background in molecular biology, cell biology and oncology
• Experience in mouse studies (injection, anatomy, necropsy, pathology) is an advantage
• Proven track record of academic publications, including writing/drafting first author papers
• Self-motivated individual, enthusiastic to take initiatives, as well as able to work independently and collaboratively in a team
• Demonstrate excellent communication, technical independence, analytical and problem solving skills
• Enjoy team-work and collaboration

We regret that only shortlisted candidates will be notified.

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

We are seeking a motivated and skilled Research Assistant to support pioneering research in molecular microbial ecology and infectious disease evolution under the guidance of A/Prof Yann Boucher at the Singapore Centre for Environmental Life Sciences Engineering (SCELSE). This position will focus on the ecology, evolution, and genomics of enteric bacterial pathogens, with an emphasis on understanding pathogen life cycles, adaptation, and survival in human and environmental reservoirs. The successful candidate will contribute to advancing culturomics approaches to the study of microbiomes and support the discovery of new bacterial species related to key pathogens such as Vibrio cholerae. This role will suit an individual passionate about microbiology, pathogen ecology, and experimental evolution.

• Conduct laboratory-based research on the microbial ecology and evolution of enteric pathogens, with a focus on pathogen life cycles, antimicrobial resistance acquisition, and virulence factors.
• Assist in the isolation, characterization, and genomic analysis of bacterial species associated with the “cholerae clade” and other enteric pathogens.
• Support culturomics studies to examine microbial transmission dynamics between human and environmental systems.
• Collaborate with team members on experiments that investigate pathogen evolution over human timescales, particularly in response to environmental pressures and host interactions.
• Maintain detailed and accurate records of experiments, data collection, and data analysis using relevant software.
• Prepare research findings for publications, reports, and presentations, contributing to collaborative international projects.
• Daily lab management tasks such as inventory of supplies and samples, preparing culture media and solutions, autoclaving materials, ordering supplies and maintaining bacterial cultures and stocks

Qualifications

• At least Bachelor’s degree in Microbiology, Molecular Biology, Epidemiology, or a related field.
• Prior experience in laboratory research, microbial ecology, or molecular genetics preferred.
• Proficiency in molecular techniques such as PCR, DNA extraction, sequencing, and bioinformatics software for genomic analysis.
• Strong data analysis skills and familiarity with microbial ecology or evolutionary biology concepts.
• Excellent verbal and written communication, able to prepare clear research documentation and contribute to team discussions.
• Highly organized, detail-oriented, with the ability to work both independently and collaboratively in a team-oriented environment.

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

We are seeking a motivated and skilled Research Assistant to support pioneering research in molecular microbial ecology and infectious disease evolution under the guidance of A/Prof Yann Boucher at the Singapore Centre for Environmental Life Sciences Engineering (SCELSE). This position will focus on the ecology, evolution, and genomics of enteric bacterial pathogens, with an emphasis on understanding pathogen life cycles, adaptation, and survival in human and environmental reservoirs. The successful candidate will contribute to advancing culturomics approaches to the study of microbiomes and support the discovery of new bacterial species related to key pathogens such as Vibrio cholerae. This role will suit an individual passionate about microbiology, pathogen ecology, and experimental evolution.

• Conduct laboratory-based research on the microbial ecology and evolution of enteric pathogens, with a focus on pathogen life cycles, antimicrobial resistance acquisition, and virulence factors.
• Assist in the isolation, characterization, and genomic analysis of bacterial species associated with the “cholerae clade” and other enteric pathogens.
• Support culturomics studies to examine microbial transmission dynamics between human and environmental systems.
• Collaborate with team members on experiments that investigate pathogen evolution over human timescales, particularly in response to environmental pressures and host interactions.
• Maintain detailed and accurate records of experiments, data collection, and data analysis using relevant software.
• Prepare research findings for publications, reports, and presentations, contributing to collaborative international projects.
• Daily lab management tasks such as inventory of supplies and samples, preparing culture media and solutions, autoclaving materials, ordering supplies and maintaining bacterial cultures and stocks

Qualifications

• At least Bachelor’s degree in Microbiology, Molecular Biology, Epidemiology, or a related field.
• Prior experience in laboratory research, microbial ecology, or molecular genetics preferred.
• Proficiency in molecular techniques such as PCR, DNA extraction, sequencing, and bioinformatics software for genomic analysis.
• Strong data analysis skills and familiarity with microbial ecology or evolutionary biology concepts.
• Excellent verbal and written communication, able to prepare clear research documentation and contribute to team discussions.
• Highly organized, detail-oriented, with the ability to work both independently and collaboratively in a team-oriented environment.

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 of Operations Research and Analytics (IORA) is seeking a dedicated and skilled Research Engineer to support our research projects focused on the implementation and analysis of machine learning (ML) algorithms. The successful candidate will be instrumental in providing coding expertise, data management, and analytical support to a range of projects in operations research and analytics.

This is an excellent opportunity for recent graduates passionate about applying their technical skills to real-world problems, particularly in the field of machine learning and data analytics.

Key Responsibilities

• Coding and Implementation: Develop and implement machine learning algorithms and models to support IORA’s ongoing and new research projects.
• Data Analysis: Conduct data processing, exploration, and visualization, delivering insights that guide research conclusions.
• Model Evaluation: Collaborate with researchers to evaluate model performance, optimizing algorithms for robustness and efficiency.
• Documentation: Ensure thorough documentation of code, data pipelines, and research findings to facilitate reproducibility and project continuity.
• Collaboration: Work closely with research teams to understand project objectives, gather requirements, and provide technical support in the form of coding and data analysis.
• Maintenance and Troubleshooting: Manage and troubleshoot issues in codebases and data pipelines as they arise, ensuring smooth and efficient project progress.

Requirements

• Education: Bachelor’s degree in Computer Science, Data Science, Engineering, Statistics, or related field.
• Programming Skills: Proficiency in Python (preferred) or R, with experience in relevant libraries for ML and data processing (e.g., Scikit-Learn, Pandas, TensorFlow, PyTorch).
• Data Management: Familiarity with data extraction, cleaning, and preprocessing methods; experience with SQL or other database management tools is a plus.
• Machine Learning Knowledge: Understanding of machine learning fundamentals, including supervised and unsupervised learning, model selection, and evaluation techniques.
• Analytical Mindset: Strong analytical and problem-solving skills with attention to detail in data analysis and algorithm implementation.
• Team Collaboration: Ability to work collaboratively within a research environment, with effective communication skills to convey technical information clearly.

Preferred Experience

• Experience with version control systems, such as Git.
• Prior research experience or involvement in machine learning or data science projects is advantageous.
• Exposure to cloud computing platforms like AWS or GCP for ML model deployment (optional but a plus).

How to Apply

Interested applicants should submit their resume, a cover letter detailing their interest in the role, and any relevant project portfolios or coding samples that demonstrate their experience with ML and data analysis.

About VIAVI Solutions

VIAVI (NASDAQ: VIAV) is a global provider of network test, monitoring and assurance solutions for telecommunications, cloud, enterprises, first responders, military, aerospace, and railway. VIAVI is also a leader in light management technologies for 3D sensing, anti-counterfeiting, consumer electronics, industrial, automotive, government and aerospace applications.

We are the people behind the products that help keep the world connected at home, school, work, at play, and everywhere in between. VIAVI employees are passionate about supporting customer success and we welcome people who bring their best every day to the company - to question, to collaborate and to push for solutions that will delight our customers.

Role: PQC Research Engineer

Location: Singapore

Summary

We are looking for a highly skilled and motivated Research Engineer specializing in Post-Quantum Cryptography and AI technologies to join our advanced research team. The ideal candidate will have a strong foundation in mathematics, software development, and communication systems. The candidate will focus on designing, analyzing, and validating cryptographic solutions that remain secure against quantum computing threats, contributing to the future of secure digital communication.

Major Responsibilities

· Research and Development:

-Conduct cutting-edge research on post-quantum cryptographic algorithms.

-Investigate potential weaknesses in current cryptographic standards and help develop quantum-resistant algorithms.

-Design cryptographic protocols that ensure security and efficiency in a post-quantum world.

-Investigate and design adoption of AI technology.

· Mathematical Modeling:

- Develop mathematical models and theoretical frameworks for post-quantum cryptosystems.

-Conduct performance analysis and benchmark new cryptographic algorithms for robustness and scalability.

· Software Development:

-Implement and optimize post-quantum cryptographic algorithms in software, using programming languages such as Python, C, C++, or Rust.

-Work with existing cryptographic libraries and frameworks (e.g., OpenSSL, Liboqs) to integrate quantum-safe algorithms.

-Collaborate with software development teams to ensure secure integration of quantum- resistant cryptosystems into applications.

· Security Protocols & Systems:

-Design and test quantum-resistant security protocols for networks, cloud services, and distributed systems.

-Develop key exchange and digital signature algorithms that are secure in the quantum era.

-Explore hybrid cryptography solutions that combine classical and post-quantum techniques for immediate use.

· Collaboration andPublication:

-Work closely with interdisciplinary teams of researchers, cryptographers, and engineers to tackle the challenges of post-quantum cryptography.

-Publish research results in top-tier journals and conferences, and present findings to both technical and non-technical audiences.

· Prototyping andTesting:

-Design and implement proof-of-concept cryptographic systems for practical applications.

-Perform experimental testing to evaluate the performance, security, and efficiency of post- quantum cryptographic methods.

· Stay Updated:

-Keep abreast of the latest developments in quantum computing, cryptography, and related fields.

-Contribute to the company's post-quantum cryptography roadmap and long-term strategy.

Required Qualifications:

· Master’s Degree or above in Computer Science, Mathematics, Electrical Engineering, Information Security, or a related field.

· Proficiency in mathematics, particularly in number theory, algebra, and complexity theory.

· Hands-on experience in software development using languages such as Python, C/C++, Rust, or Go.

· Familiarity with communication protocols and security architectures.

Preferred Qualifications:

· Good understanding of cryptography, including symmetric and asymmetric encryption techniques.

· Good understanding of AI technology

· Experience with post-quantum cryptographic frameworks and algorithms (e.g., NIST PQC candidates).

Skills and Competencies:

· Strong analytical and problem-solving skills.

· Ability to collaborate in a multidisciplinary research environment.

· Excellent communication skills, both written and verbal, to effectively share research insights.

· High level of attention to detail and a proactive approach to emerging security threats.

If you have what it takes to push boundaries and seize opportunities, apply to join our team today.

VIAVI Solutions is an equal opportunity and affirmative action employer - minorities / females / veterans / persons with disabilities.

Department: Healthcare Redesign
Contractual Period: 1 year (Subjected to extension)

Job Responsibilities

• Reporting to the Research Fellow in charge, under the supervision of Research Fellow and Principal Investigator (PI)
• Assist in literature review, IRB submission, coordinate recruitment, data collection in quantitative and qualitative studies, data entry and analysis.
• Liaise with the relevant personnel in hospital / Polyclinics to ensure smooth running of recruitment and data collection
• Be involved in subject recruitment, scheduling and data entry. Screen patients based on study eligibility, and communicate the study aims to potential subjects in layman terms.
• Obtain consent taking, administer study questionnaires and follow-up on study participants.
• Work closely with research team, clinicians, clinic staff and other relevant internal departments to ensure research study needs are met.
• Able to work on tight timelines, set sensible targets and achieve research deliverables.
• Conduct qualitative interviews and data analysis.
• Perform data cleaning and quantitative data analysis.
• Responsible for maintaining strict adherence to research protocols i.e., HBRA.

Requirements

• Master’s / Bachelor’s degree in Science/ Public Health/ Social Scienc
• Preferably with some experience in research
• Able to adapt in a fast-paced environment, with a strong focus to meet research deliverables and targets.
• Strong interpersonal and communication skills. Leadership and accountability to tasks is very desirable.
• Able to work independently, as well as in a team.
• Meticulous, well-organized and able to multi-task
• Ability to work in an interdisciplinary environment with different groups of stakeholders.
• Bilingual preferred (fluent in Mandarin/Malay/Tamil).
• Willing to travel between the Hospitals and external study sites as part of his / her work.
• Knowledge of Good Clinical Practice (GCP) guidelines and the Human Biomedical Research Act (HBRA)

Software Proficiency (Either or all)

• Experience with Python libraries (Pandas, NumPy, SciPy, Matplotlib, Seaborn)
• Experience with Natural Language Processing (NLP) Libraries (NLTK, spaCy, Gensim, TextBlob, VADER, Stanford NLP, Flair, Hugging Face Transformers)
• Knowledge of Machine Learning Algorithms (Understanding of supervised/unsupervised algorithms, experience with Scikit-learn, TensorFlow, PyTorch)
• Understanding of Sentiment Analysis Techniques and Text Preprocessing
• Knowledge of lexicon-based and machine learning-based sentiment analysis approaches.
• Experience with other relevant Python libraries for sentiment analysis, such as Keras, XGBoost, and LightGBM.
• Familiarity with Text Mining Tools - Experience with text mining techniques and tools (RapidMiner, KNIME).
• Familiarity with Cloud Computing Platforms - Experience with AWS, Google Cloud, or Azure; containerization with Docker.

Interested applicants, please feel free to reach out to us at my email address [email protected]

EA Reg No.: R1436439 | EA Licence: 17C8713

**We regret to inform only shortlisted candidates will be notified

One Research Assistant

Period 1: 31 January – 21 February 2025 (16 mandays)

Period 2: 26 March – 11 April 2025 (12 mandays)

Up to max of 168 hours of work over the two periods.May not be expected to work every weekday

Mondays to Fridays, 9:30am to 4.30pm, 1 hour break. Not required on Sats, Suns and gazetted PH.

Use IT tools to automate data collection processes for a research study (e.g., using macros in Microsoft Office applications such as Excel and Word):

• Generate administrative forms, reports and other materials to be sent to schools;

• Collate and check data submitted by schools;

• Communicate and clarify with schools on data submission.

May also be required to perform other administrative tasks.

RA should be meticulous and strong in IT skills. He/she must be able to use IT tools to automate data collection processes (e.g., using macros in Microsoft Office applications such as Excel and Word).

Place of work - MOE North Buona Vista Drive, must be able to commit to work for the 2 periods.

Salary: 20 per hr.

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 project aims to realize ferromagnetic twistronic devices for high frequency control of magnetic, electronic, and optical properties. The job will involve fabrication of ultraclean samples in controlled environment, and their characterization using magnetic, optical, and electrical methods.

Job Requirements

The job requires experience in realizing scientific projects based on fabrication and characterization of functional devices. Solid foundation of laboratory work and performing work in a highly collaborative environment is necessary. The candidate needs to exhibit excellent organization skills and ability to efficiently progress with research objectives. This needs to be based on independent, critical thinking and problem solving skills.

Research Assistant

Novena

12 months contract

Pre-Study

1. Coordinate study start-up activities, including assisting with feasibility reviews and furnishing of regulatory documents

2. Plan, organize and coordinate the workflow of the study

3. Development of materials and tools required for study start-up

4. Coordinate all mandatory training requirements and documentation

Study Recruitment and Conduct

1. Assisting with informed consent process by providing information to and educating research subjects, data collection and surveys

2. Coordinate all relevant subject visits, ensuring minimum deviation from schedule of visits

3. Ensure projects can be completed within the time frame and facilitate smooth running of research projects

4. Assist PI to ensure timely amendments to study documents when required

Study Monitoring, Audit and Inspection

1. Monitor the quality of research ensuring compliance with HBRA, GCP, ICH guidelines and standards

2. Conduct monitoring visits including Remote Monitoring and Site Monitoring

3. Assist with all external monitoring, audit and inspection visits

4. Monitor the financial aspects of the assigned study and advise the stakeholders accordingly

5. Work with PI and department to respond to any audit findings and implement approved recommendations

How to Apply: send your resume and indicate role(s) you want to apply to: [email protected] or telegram @jocelynchan

Jocelyn Chan| Consultant | Recruit Express Pte Ltd (Healthcare & Lifescience) Company EA License number : 99C4599 Personnel EA License: R1331820

The College of Computing & Data Science (CCDS) invites applications for the position of Research Assistant.

Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a leading college that is known for its excellent curriculum, outstanding and impactful research, and world-renowned faculty. Today, we are ranked #2 for AI and #6 for Computer Science by US News Best Global Universities; and #8 for Data Science and AI by QS World University Ranking.

A hot bed of cutting-edge technology and groundbreaking research, the College aims to groom the next generation of leaders, thinkers, and innovators to thrive in the digital age. Located in the heart of Asia, NTU’s College of Computing and Data Science is an ‘exciting place to learn and grow'. We welcome you to join our community of faculty, students and alumni who are shaping the future of AI, Data Science and Computing.

Key Responsibilities:

• To conduct research into the WebAssembly programming language.
• To produce publications in top conferences and journals.
• To offer assistance to any students involved in the project.
• To collaborate with industrial and academic partners.
• To perform any other duties related to the research program.

Job Requirements:

• Preferably Bachelor’s degree in Computer Engineering, Computer Science, Electronics Engineering or equivalent.
• Preferably have experience in interactive theorem proving and/or Web programming.
• Capable of handling multiple tasks across projects and research activities.
• Independent, highly analytical, proactive and a team player
• Excellent teamwork and verbal, written communication skills
• Proven research ability as evidenced through a portfolio of publications and/or conference papers and/or patents.
• In-depth knowledge relevant to the project domain.
• Demonstrated capability to conduct innovative research.
• The ability and willingness to adapt and incorporate novel ideas and approaches in scientific industry.
• Demonstrated ability to formulate hypothesis and design effective experimental plans.
• Ability to design and implement new experimental methods.
• High-level expertise in the required experiment or modelling methods.
• Good knowledge in laboratory works as well as engineering of prototype system.
• Ability to initiate collaboration research in multidisciplinary team.
• Oversee and report project progress.
• Ability and willingness to work some flexible hours.

We regret that only shortlisted candidates will be notified.

The School of Physical and Mathematical Sciences (SPMS) of NTU is an exciting environment for research. The Yong research group works on novel problems in biological and complex systems and has published many high impact papers in top scientific journals such as Science, PNAS, Phys. Rev. Lett., etc.

Our approach is highly interdisciplinary, using emerging state-of-the-art methods from mathematics, physics, artificial intelligence, machine learning, topological data analysis, and statistics. We are interested in analyzing big data of complex systems such as DNA, RNA, biological networks, social networks, financial markets, etc., in order to understand their behavior, pattern and interaction.

Understanding the structure-function relationships of biomolecules is an active area of research due to its fundamental importance in biology, physics, and engineering. The emerging field of Mathematical AI for Molecular Sciences is proposed for molecular representation, featurization, and learning. We are interested in developing physical models using graphs, simplicial complexes for molecular representation, featurization, and learning, particularly in the context of nucleic acids such as DNA, G-quadruplex. The results from the research will provide key insights to understanding the structure-function relationships of biomolecules.

The Yong research group is looking for a highly motivated and qualified Research Fellow with the ambition of producing high quality research that can be published in high impact journals. The Research Fellow will be involved in research design, data analysis, model development, numerical simulations, and report/paper writing.

The Research Fellow is expected to perform state of the art numerical simulations using computing resources from National Supercomputing Centre (NSCC) Singapore. The incumbent has freedom to design the nature and type of deep learning simulations.

Key Responsibilities:

• Utilize recently developed mathematical tools from algebraic topology, combinatorial topology, computational topology, and differential geometry (e.g., Betti numbers, Hodge-Laplacian, discrete Ricci curvature) to characterize and model biopolymers such as DNA and RNA.
• Develop simplicial models for molecular representation, featurization, and learning, particularly in the context of nucleic acids such as DNA, G-quadruple, to better understand form-function relationship in biology.
• Use molecular modeling and AI (using e.g., the SMILES protocol) to quickly and accurately assess compounds with Essential Physicochemical Properties for drug design and development.
• Translate research findings into practical applications in pharmacology.
• Perform numerical simulations on National Supercomputing Centre (NSCC) Singapore.

Job Requirements:

• PhD from a reputable university, preferably in physical sciences or STEM related field.
• Good publication track record.
• Strong background in artificial intelligence and biochemistry with prior experience in numerical simulations.
• Expertise in numerical simulations, and the ability to code and run simulations on deep learning workstation/supercomputers clusters.
• Able to think and work independently and have the aspiration to perform high quality research that can be published in high impact journals

We regret to inform that only shortlisted candidates will be notified.

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

Join our physician-led cutting-edge metabolomics lab as a Bioinformatics Expert and help us make an impact in the world of precision medicine.

We are a dynamic research lab at the forefront of metabolomics, dedicated to advancing knowledge in metabolic pathways, biomarker discovery, and personalized healthcare. Our interdisciplinary team collaborates with both Singapore based and global institutions. We offer opportunity to work on innovative projects with a collaborative team and a patient-centric focus with access to state-of-the-art facilities and resources.

Main Duties and Responsibilities

Key Responsibilities:

• Develop and implement data extract, transform, and load (ETL) pipelines for metabolomics data (mainly LC-MS/MS based metabolomics).
• Perform data integration from multi-omics platforms (genomics, transcriptomics, proteomics).
• Apply statistical and machine learning techniques (preferably explainable models) for biomarker discovery in large clinical dataset.
• Maintain and update databases and in-house analytical tools for metabolite identification and pathway analysis.
• Lead or significantly contribute to successful collaboration in clinical cohort research.
• Derive clinically actionable insights from data patterns.
• Collaborate with biologists, chemists, and clinicians to interpret results and publish findings.

Admin:

• Assist the professor in writing grants & manuscripts for higher impact journals.
• Assist with ethics submissions.
• Attend meetings with the primary investigator and team members.
• Liaise with multi-national collaborators for commercialization and validation of our discoveries.

Qualifications

The applicant Must:

• Ph.D. or Master’s in Bioinformatics, Computational Biology, or related field.
• Proficiency in R, Python, and/or bioinformatics tools for metabolomics.
• Ability to build custom applets/scripts for data analysis.
• Ability to thoroughly explore large data sets (up to ~PB scale), derive hypotheses, and adjust analysis dynamically.
• Experience in database query (e.g. KEGG, Ensemble, HMDB, wikipathway).
• Awareness of data standards for clinical research and statistical analysis (e.g. EQUATOR Network)
• Strong analytical and communication skills.
• Experience in and/or knowledge of medical data, clinical processes or trials
• Experience in constructing clinical risk prediction models for biomarker research will be a plus.
• Experience in translating conceptual algorithms to implementable code will be a plus.
• At least 2 years of relevant research experience and prior publications will be preferred.

Nanyang Technological University’s ANT Group – NTU Joint Lab is a collaboration between ANT International and NTU. The partnership will explore privacy-preserving methods for large language models (LLMs) and will be overseen by a joint research committee.

We are looking for a Research Engineer II to involved in research and development collaboration with industry, on AI Safety and Trust Technology, especially on the topic of applying fully homomorphic encryption in privacy-preserving machine learning. The successful applicant is expected to be familiar with fully homomorphic encryption and its applications in AI models.

Key Responsibilities:

• Research and development of trust technologies such as privacy-preserving machine learning which are important components of digital trust platforms.
• Be involved in privacy-preserving machine learning and fully homomorphic encryption system development and implementation.
• Assist in preparation of reports and scientific papers.

Job Requirements:

• Master’s degree in computer science, mathematics, information theory or related field
• Participation in privacy, security, and trust related conferences and journals
• Good programming skill, preferably with experience in implementing cryptographic algorithms.
• Be familiar with the following programming languages: C/C++
• Good communication skill, self-motivated, and could deliver under tight schedule

We regret to inform that only shortlisted candidates will be notified.

Job Title : Senior Executive, Research Grant Administration

Job Type : Temp 6 months

Work Location : West side, Singapore

Skills Required : Research, Content Management & Reporting

Job Responsibilities:

Research Grant Administration:

• Provides effective administration of research grant call applications and management of awarded grants
• Assumes the role as SAP Concur reviewer and first-level approver and work with the Finance department to provide the fastest and smoothest approver flow.

Communication of Research Information

• Creates weekly research e-newsletter to communicate information on internal and external grant calls to faculty and research staff members.
• Develops content for the school’s website for research grants, projects and achievements.
• Develops Research-related publications (Research Brochures /Pamphlets)
• Assists with the organisation of the monthly WKWSCI Speaker Series (Research Talks).

Monitoring Research Budgets and Assets

• Monitor budgets and expenditures relating to research grants
• Monitor deadlines for the submission of expenditure reports as well as progress and final reports

Job Requirements:

• Bachelor's degree from a recognised university
• Proven administrative skills including the ability to handle data with accuracy.
• Excellent reporting with some finance working knowledge would be essential.
• Preferably 2 to 3 years of relevant work experience. Prior working experience in an academic institution will be an advantage.
• Sound interpersonal, communication and analytical skills.
• Strong organisational and problem-solving skills.
• Competency in Microsoft Office applications (Excel, PowerPoint, word).
• Ability to do content management and creation of information on research (Website, social media and newsletters)
• Positive attitude with a strong desire to learn new skillsets.

Salary: Up to $3500

Work hours: Mon-fri

“This is in partnership with the Employment and Employability Institute Pte Ltd (“e2i”).

e2i is the empowering network for workers and employers seeking employment and employability solutions. e2i serves as a bridge between workers and employers, connecting with workers to offer job security through job-matching, career guidance and skills upgrading services, and partnering employers to address their manpower needs through recruitment, training, and job redesign solutions. e2i is a tripartite initiative of the National Trades Union Congress set up to support nation-wide manpower and skills upgrading initiatives. By applying for this role, you consent to RMA Groups’s PDPA and e2i’s PDPA.” All Curriculum Vitaes will be treated with the strictest confidentiality.

RMA Consultants Pte Ltd

EA License No 93C4403

EA Regn No R1433182

Established in 2010, the Energy Research Institute @ NTU (ERI@N) is a pan-university research institute that focuses on systems-level research for tropical megacities. For more details, please view https://www.ntu.edu.sg/erian

ERI@N invites applications for the position of Research Fellow.

Key Responsibilities:

• Specific precipitation
• Liquid-liquid or Liquid/solid extraction
• Simulation of scaled up process.
• Design of continuous process based on the most interesting systems for the selective recovery of the metal ions of interest
• Implementation of the process at pilot scale (~10 L/h or larger) to demonstrate its feasibility and to give first hints for cost analysis from the perspective of development at industrial size
• Development, characterization and scale up of innovative hydrometallurgy-based separation processes from e-waste leaching solutions

Job Requirements:

• PhD in chemical engineering / chemistry
• Candidate with strong background on chemical separation processes, especially hydrometallurgy ones.
• Good record of publications and IPs
• Experience with lab set up or prototype development
• Familiar with chemical elements characterization techniques (Spectrophotometry, ICP, FX…)
• Familiar with Labview, python or process simulation software
• Excellent command of oral and written English - for research purposes

We regret to inform that only shortlisted candidates will be notified.

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

We are looking for a research fellow for the project on ultraprecision fabrication of functional components with additive manufacturing and micro-scale surface treatment. The candidate is required to conduct design and manufacture of the bespoke fixtures and tooling for post-processing of the 3D-printed geometries to meet the industrial requirements. He/she will also be responsible for reporting and coordinating with our stakeholders and writing technical papers.

Qualifications

Interested applicants are required to possess a PhD degree. He/she should have a good understanding in

1. Ultraprecision machining technology with excellent hands-on experience;
2. A solid background of micro-/nano-scale material removal processes and mechanisms with a good track record of publications;
3. Experienced in metal additive manufacturing and its post-processing methods; and
4. Mechanical and non-mechanical surface treatment and finishing techniques.

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 National University of Singapore invites applications for the position of Research Fellow in the Department of Computer Science, School of Computing (SoC). SoC is strongly committed to research excellence in all its dimensions: Searching for fundamental results and insights, developing novel computational solutions to a wide range of applications, building large-scale experimental systems and improving the well-being of society. We seek to play an active role both internationally and locally in the core and emerging areas of Computer Science and Information Systems.

The Research Fellow will work to develop secure, isolated hardware platforms (for small, IoT-style systems) while maintaining efficiency and performance. This is done through the development of novel designs that enable isolation and security, even in the presence of shared hardware resources. He/she should possess experience or interest in at least one of the following research areas:

• Hardware and Systems Security
• Computer Architecture
• Energy Efficient SoC Design
• Simulation Methodologies (Cycle-level Microarchitecture Simulation)

Qualifications

• A PhD degree in a relevant area
• Good publication record
• Experience in research

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 National University of Singapore invites applications for the position of Research Associate in the Department of Computer Science, School of Computing (SoC). The School of Computing is strongly committed to research excellence in all its dimensions: Searching for fundamental results and insights, developing novel computational solutions to a wide range of applications, building largescale experimental systems and improving the wellbeing of society. We seek to play an active role both internationally and locally in the core and emerging areas of Computer Science and Information Systems.

The Research Associate will be responsible for working closely with the Principal Investigator on one or more research projects. He/she should possess relevant experience in Machine Learning and Security.

Only shortlisted candidates will be notified.

Job Requirements

• Master’s degree in Computer Science or related field
• At least 2 years of research experience
• Excellent programming skills

Job Description

Candidate applying for this position shall research, develop and implement AI robotics to create an intelligent environment in the robotics for autonomous manufacturing.

Roles & Responsibilities

• Lead stakeholder discussions to grasp problem statements, requirements, and expectations.
• Conduct technology scouting for industrial robotic applications and automation best practices.
• Perform process mapping and feasibility analysis for robotic processes.
• Develop smart robotic automation options, project proposals, and scoping.
• Engineer and conceptualize robotic processes.
• Program robotic motion using simulation-based techniques.
• Execute the project lifecycle for robotic process development and implementation.
• Prepare technical project documentation and presentations
• Develop and optimize advanced robotic algorithms for perception-guided manipulation.
• Maintain and support software components for manipulation systems.
• Collaborate with hardware engineers to integrate software solutions.
• Create and implement transfer learning models for various machine learning tasks.
• Collaborate with domain experts to tailor transfer learning models to specific business needs.
• Utilize transfer learning to enhance expert skill efficiency and applicability.
• Stay updated on the latest advancements in transfer learning and skill adaptation.

Job Requirements

• Relevant Engineering degree with focus on robotics or mechatronics.
• Minimum 2 years of experience in industrial robotic automation development and deployment.
• Expertise in ROS and programming languages like C++, C#, Python, or JavaScript.
• Knowledgeable about Linux platforms and command line operations.
• Deep understanding of robot manipulation and kinematics.
• Proficient in CAD software, especially Siemens NX.
• Strong in industrial and collaborative robot programming.
• Familiarity with offline robot programming software like ABB-RobotStudio, Robotmaster, or RoboDK.
• Experience with machine learning frameworks (TensorFlow, Pytorch, Scikit- Learn, Caffe) and computer vision tools (OpenCV, PCL) is advantageous.
• Skilled in working with diverse datasets and applying transfer learning.
• Proficient in rapid prototyping and constructing neural network models efficiently.
• Strong problem-solving skills and analytical mindset.
• Effective communication and stakeholder interaction abilities.
• Adaptable, hands-on, and self-motivated approach to work.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

The Advanced Remanufacturing and Technology Centre (ARTC) is a public-private partnership consortium of more than 80 industry members. Our core mission is to develop and deploy advanced manufacturing solutions and upskill the workforce to drive local industry competitiveness.

Smart Virtual Systems (SVS) Group is seeking a highly motivated Senior or Lead Research Engineerto implement highly available and scalable microservices-based applications and platforms for autonomous manufacturing applications. He/she is expected to be independent and initiative-driven, demonstrating the capacity to discover innovative solutions to challenges. We are seeking a talented and experienced Software Engineer with experience in MLOps/AI to join our dynamic team. In this role, you will play a key role in software development and focusing on deploying machine learning models, implementing MLOps best practices. You will closely work with our cross-functional research teams to streamline model deployment, improve scalability and reliability of systems.

The key roles and responsibilities include the following:

-Develop, test, and maintain enterprise system and applications, with a focus in ML/AI systems.

-Implement MLOps best practices to automate model training, deployment, and monitoring processes.

-Optimize and Implement machine learning algorithms and deep learning architectures.

-Collaborate with data scientists and software engineers to integrate machine learning solutions into existing systems and deliver high-quality software products.

-Optimize AI pipelines for scalability, reliability, and better performance.

-Conduct performance analysis and optimization to improve model efficiency and accuracy.

-Stay updated on the latest advancements in software engineering, AI/ML technologies and best practices.

Job Requirements

-Bachelor or Master's Degree in Computer Science/Engineering or relevant Disciplines

-Must have a minimum of 5 years of experience as a Software Developer/Engineer

-Hands-on experience in Cloud Native Technologies such as in micro-services, DevSecOps, and Containerization Technologies

-Proficiency in designing and developing microservices and software systems using C# .NET, Python and angular

-A good understanding of CI/CD Pipelines in a distributed environment using Git, Artifactory, Jenkins, SonarQube, Docker registry, etc.

-Hands-on experience with deploying and managing microservices using container orchestration platforms (on-prem/public cloud)

-Can do attitude and happy to interface with multiple stakeholders

-Excellent troubleshooting, follow-through, and problemsolving skills, with attention to detail

-Excellent verbal and written communication skills

-Familiarity with deep learning architectures and natural language processing (NLP) techniques.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.