Job Description

• Conduct statistical analysis and provide support for research projects
• Manage the organisation’s databases, perform data extraction, and compile statistical data for reporting purposes
• Assist in coordinating research projects for ethics approval and securing research funding as needed

Job Requirements

• Bachelor Degree level from recognised institute
• 1-2 years of relevant experience in statistical tasks related to the data collection, compilation, and interpretation will be advantageous
• Proficient in SPSS and STATA

Interested applicants, kindly furnish us with your detailed resume in MS Words format and click "Apply Now" button.

**We regret to inform only shortlisted candidates will be notified. Applicants who do not possess necessary experience or qualification will still be considered on individual merits and may be contacted for other opportunities.**

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JOBSTUDIO PTE LTD

EA License No: 10C4754

EA Personnel: Stephanie Toh

EA Personnel Reg No: R1217674

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. 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 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 should possess relevant experience and will be conducting research on Data Security for LLM systems and work on Formal Methods Agents based on LLM.

Only shortlisted candidates will be notified.

Job Requirements

• A PhD degree in Computer Science or related field
• Experience in research and good publication record
• Strong programming skills

Meta is embarking on the most transformative change to its business and technology in company history, and our Machine Learning teams are at the forefront of this evolution. By taking on crucial projects and initiatives that have never been done before, you have an opportunity to help advance the way people connect around the world.


In order to meet the demands of our scale, we approach machine learning challenges from a system engineering standpoint, pushing the boundaries of scalable computing and tying together numerous complex platforms to build models that leverage trillions of actions. Our research and production implementations leverage many of the innovations being generated from Meta’s research in Distributed Computing, Artificial Intelligence and Databases, and run on the same hardware and network specifications that are being open sourced through the Open Compute project.


As a Research Scientist at Meta, you will bring experience working on a range of recommendation, classification, and optimization problems. You will have the ability to own the whole ML life-cycle, define projects and drive excellence across teams. You will work alongside the world’s leading engineers and researchers to solve some of the most exciting and massive social data and prediction problems that exist on the web.

Responsibilities

• Develop highly scalable classifiers and tools leveraging machine learning, regression, and rules-based models
• Suggest, collect and synthesize requirements and create effective feature roadmap Build strong cross functional partnerships and code deliverables in tandem with the engineering team
• Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU)
• Perform specific responsibilities which vary by team

Minimum Qualifications

• Currently has, or is in the process of obtaining, a PhD degree or completing a postdoctoral assignment in the field of Computer Science, Computer Vision, Machine Learning or relevant technical field. Degree must be completed prior to joining Meta
• Programming experience in a relevant programming language
• Research and/or hands-on experience in one or more of the following areas: machine learning, NLP, recommendation systems, pattern recognition, data mining or artificial intelligence
• Relevant experience using frameworks such as PyTorch, TensorFlow or equivalent
• Proven experience to translate insights into business recommendations
• Experience with scripting languages such as Python, Javascript or Hack
• Experience building and shipping high quality work and achieving high reliability

Preferred Qualifications

• Demonstrated software engineer experience via an internship, work experience, coding competitions, or used contributions in open source repositories (e.g. GitHub)
• Proven track record of achieving results as demonstrated by grants, fellowships, patents, as well as first-authored publications at workshops or conferences such as ICML, NIPS, KDD or similar
• Experience solving complex problems and comparing alternative solutions, tradeoffs, and diverse points of view to determine a path forward
• Interpersonal experience working and communicating cross functionally in a team environment
• Exposure to architectural patterns of large scale software applications
• PhD degree or research focused Master degree in ML areas

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

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 join our team, focusing on the development and characterization of advanced 2D materials. The successful candidate will play a key role in supporting projects related to the growth, optimization, and detailed analysis of thin films for next-generation electronic devices.

Key Responsibilities:

• Materials Growth and Synthesis: Conduct thin-film deposition using techniques like Chemical Vapor Deposition (CVD) to synthesize 2D materials like MoS2 and other materials. Optimize growth parameters to achieve desired thickness, crystallinity, and uniformity.
• Characterization and Analysis: Utilize Atomic Force Microscopy (AFM), Scanning Electron Microscopy (SEM), and Raman spectroscopy for in-depth material characterization, focusing on morphology, surface roughness, grain size, and crystallinity.
• Data Collection and Analysis: Systematically document experimental procedures, collect data, and analyze results. Interpret findings to drive improvements in synthesis protocols and optimize film properties.
• Research Documentation: Prepare comprehensive reports, summarize research findings, and present data to support ongoing projects and publications.
• Collaboration and Lab Support: Work closely with team members, provide support for collaborative experiments, and maintain laboratory equipment.

Qualifications

• Master’s degree in Materials Science, Chemistry, Physics, or a related field.
• Demonstrated experience with CVD, AFM, SEM, and other characterization tools for thin films and nanomaterials.
• Proficiency in handling 2D materials with a strong focus on growth and sulfurization processes.
• Ability to work independently and collaboratively, with excellent attention to detail and problem-solving skills.

This position offers a unique opportunity to contribute to cutting-edge research in materials science, focusing on 2D materials for advanced electronics. If you have a strong foundation in materials synthesis and characterization and are eager to develop innovative solutions, we encourage you to apply.

Join the Institute of Microelectronics (IME) to be immersed in cutting-edge semiconductor research. As a research institute within the Agency for Science, Technology and Research (A*STAR), IME bridges the gap between academia and industry. Our mission is to accelerate innovation in advanced packaging, piezoMEMS, SiC, RF/mmWave GaN, and photonics & sensors, and to develop talent and inspire in Singapore.

We are looking for a passionate individual to join our Technology-Business Development department. You will be responsible for sales and marketing, account management and industry development. If you're excited about the future of microelectronics and wish to contribute to the development of Singapore's innovation engine for microelectronics, we want you on our team!

Job Responsibilities

• Perform market intelligence, develop and execute go-to-market plans for commercialization of IME's research capabilities.
• Lead industry and customer engagements, understand their needs and work with Technology Development teams to formulate value propositions.
• Structure, review and negotiate contracts with industry partners and customers.
• Develop industry network, manage accounts and build relationships to win and retain industry partners and customers.

Job Requirements:

• Degree in Science or Engineering.
• Ability to think on the feet
• Result-oriented, analytical, proactive, resourceful and team player
• Good communication, presentation and interpersonal skills
• Resilience and adaptability to work in a fast-paced and fast-changing environment
• Passion to develop Singapore's semiconductor industry

Join the Institute of Microelectronics (IME) to be immersed in cutting-edge semiconductor research. As a research institute within the Agency for Science, Technology and Research (A*STAR), IME bridges the gap between academia and industry. Our mission is to accelerate innovation in advanced packaging, piezoMEMS, SiC, RF/mmWave GaN, and photonics & sensors, and to develop talent and inspire in Singapore.

We are looking for a passionate individual to join our Technology-Business Development department. You will be responsible for sales and marketing, account management and industry development. If you're excited about the future of microelectronics and wish to contribute to the development of Singapore's innovation engine for microelectronics, we want you on our team!

Job Responsibilities

• Perform market intelligence, develop and execute go-to-market plans for commercialization of IME's research capabilities.
• Lead industry and customer engagements, understand their needs and work with Technology Development teams to formulate value propositions.
• Structure, review and negotiate contracts with industry partners and customers.
• Develop industry network, manage accounts and build relationships to win and retain industry partners and customers.

Job Requirements:

• Degree in Science or Engineering.
• Ability to think on the feet
• Result-oriented, analytical, proactive, resourceful and team player
• Good communication, presentation and interpersonal skills
• Resilience and adaptability to work in a fast-paced and fast-changing environment
• Passion to develop Singapore's semiconductor industry

Clinical Research Coordinator / Research Assistant (1 year Contact role)

Job Description & Requirements

Reporting to the Project Manager, you will be involved in a multi-site cohort Human Biomedical Research study. You will be primarily responsible for subject recruitment and other research deliverables for the studies. You will work closely with the research team and the Principal Investigator of the study.

Job Responsibilities*

You will be responsible for the following:

1) Subject Recruitment and follow up

• 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.

2) Research Documentation / Administrative duties

• Conduct research study activities like patient recruitment, data collection and data management.
• Assist in data collection from electronic health records.
• Set up and maintain study investigator files, including records of consent taken and blood collection.
• Maintain study records in databases such as Redcap and in electronic health record systems.
• Responsible for maintaining strict adherence to research protocols i.e., HBRA.
• Liaise with investigators, clinicians and laboratory team to set up clinical workflows at multiple clinical departments for research recruitment.
• Prepare necessary documentation for audit purposes.
• Coordinate the submission of new IRB applications, study amendments and annual reports.
• Maintain the highest standard of professional conduct and record keeping in accordance with hospital policies, ethics requirements and local regulations.
• Assist with any other duties of a similar nature that are delegated by the PI.

Requirements*

• A diploma or equivalent in qualifications in Science/ Public Health/ Social Science with minmium of 2 years relevant experience.
• Bachelor Degree in Science/ Public Health/ Social Science with minimum of 2 years relevant experience
• Fresh graduates are welcome to apply.
• Independent and mature. Able to work independently, as well as in a team.
• Bilingual preferred (fluent in Mandarin/Malay/Tamil).
• Willing to travel between the Hospitals and external study sites as part of his / her work.
• Work Hours: Monday to Friday, 8:00AM to 4:30PM, and Saturday, 8:00AM to 12:30PM, are required.
• Knowledge of Good Clinical Practice (GCP) guidelines and the Human Biomedical Research Act (HBRA)
• 1 year contract role

Only shortlisted candidates will be notified

EnviroDynamics Solutions Pte Ltd I EA License No.: 12C6285

Anna Toh I Reg. No: R23118739

Email CV to : [email protected]

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

One Research Engineer position is open in the research group of Assistant Professor Zhao Lin, at the Department of Electrical and Computer Engineering, National University of Singapore (NUS).

The Research Engineer (RE) will work closely with the Principal Investigator (PI) on visual navigation foundation model for mobile robots, exploration using reinforcement learning control, learning-based control, etc. The RE will develop and train algorithms that enable intelligent and robust autonomous navigation in unseen environments. Hardware experiments will be carried out to test and demonstrate the applications of the developed algorithms.

The initial appointment duration is 12 months, which can then be extended based on an evaluation at the end of the initial appointment.

The candidates should have a Master’s degree from a reputable university, with expertise in robot learning, reinforcement learning, and aerial robotics.

A successful candidate should have a solid mathematical background (such as in calculus, linear algebra, ODE/PDE, optimization, real analysis, probability theory, stochastic process, etc). Strong publication records in leading journals and conferences of the relevant fields, and practical hands-on experience in applying visual foundation models to real mobile robots are required.

Qualifications

• Possess a master’s degree in Computer Engineering/Science or strictly related (e.g., either Electrical Engineering, Mathematics, Communication, Mechanical, etc.)
• Have research experiences in computer vision, vision foundation model, control theory, reinforcement learning.
• Possess a strong academic record proved through coursework (especially math-intensive courses) and projects during his/her undergraduate and master’s studies.
• Proficient in C++ or Python. Familiar with machine-learning tools and packages. Familiar with various 3D simulation environments for quadrotor simulations. Familiar with ROS and quadrotor control algorithms.
• Have well-established analytical and problem-solving skills, as documented by publications that are relevant to the field of robot navigation, reinforcement learning control for robotics applications.
• Excellent communication skills as he/she is required to publish and present results at conferences and journals independently.
• Activity performed in world-class research environments is highly valued.

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

(JR:18151)
The position of Postdoctoral Fellow - with an emphasis on computational cancer genomics - is immediately available at the Cancer Science Institute of Singapore (a part of National University of Singapore). The Postdoctoral Fellow will work with the laboratories of Professor Ashok Venkitaraman, on a project studying the evolution of cancer genomes during early steps in carcinogenesis, with the long-term aim to develop better methods for early intervention.

This is an exciting opportunity to deploy expertise in computational biology in an active multidisciplinary environment, working closely with experimental cancer biologists to address major scientific problems.

The Postdoctoral Fellow will apply existing analytic pipelines and devise new algorithms to explore data derived from multiple DNA sequencing technologies (e.g., Illumina & Nanopore) to resolve cancer genome evolution at the clonal level. S/he will also analyse complementary data from other technologies, ranging from single-cell RNAseq to chromatin immunoprecipitation to chromatin accessibility (ATAC-seq), using a variety of novel cellular models established in Professor Venkitaraman’s laboratory. Experimental findings will be explored and validated using clinical genomic datasets.

Please refer to https://www.csi.nus.edu.sg/web/ashok-venkitaraman/ for more information on Professor Ashok Venkitaraman’s research

Interested applicants should include the following documents in the job application

1. Curriculum Vitae (CV)
2. Summary of past research experience
3. Description of long-term plans
4. At least 3 referees including their name, contact information (email) and relationship to applicant

Qualifications

The applicant for this position should possess a PhD in Human genetics, Genomics, Bioinformatics, Computer science, or related fields, with a strong track record of achievement exemplified by publications, is important, as is the required expertise in computational biology listed below. Experience in the methods to be used in the project is desirable.

• Firm understanding of the principles of clonal evolution
• Experience analyzing DNA sequencing data
• Strong Python and/or R programming skills
• Proficient with standard statistical analyses
• Strong publication record
• Excellent written and spoken English

PREFERENCES

• Experience using Amazon Web Services
• Proficiency with Unix-based systems
• Experience with collaborative software development via github/gitlab

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 position of Postdoctoral Fellow - with an emphasis on computational cancer genomics - is immediately available at the Cancer Science Institute of Singapore (a part of National University of Singapore). The Postdoctoral Fellow will work with the laboratories of Professor Ashok Venkitaraman, on a project studying the evolution of cancer genomes during early steps in carcinogenesis, with the long-term aim to develop better methods for early intervention.

This is an exciting opportunity to deploy expertise in computational biology in an active multidisciplinary environment, working closely with experimental cancer biologists to address major scientific problems.

The Postdoctoral Fellow will apply existing analytic pipelines and devise new algorithms to explore data derived from multiple DNA sequencing technologies (e.g., Illumina & Nanopore) to resolve cancer genome evolution at the clonal level. S/he will also analyse complementary data from other technologies, ranging from single-cell RNAseq to chromatin immunoprecipitation to chromatin accessibility (ATAC-seq), using a variety of novel cellular models established in Professor Venkitaraman’s laboratory. Experimental findings will be explored and validated using clinical genomic datasets.

Please refer to https://www.csi.nus.edu.sg/web/ashok-venkitaraman/ for more information on Professor Ashok Venkitaraman’s research

Interested applicants should include the following documents in the job application

1. Curriculum Vitae (CV)
2. Summary of past research experience
3. Description of long-term plans
4. At least 3 referees including their name, contact information (email) and relationship to applicant

Duties And Responsibilities

The applicant for this position should possess a PhD in Human genetics, Genomics, Bioinformatics, Computer science, or related fields, with a strong track record of achievement exemplified by publications, is important, as is the required expertise in computational biology listed below. Experience in the methods to be used in the project is desirable.

• Firm understanding of the principles of clonal evolution
• Experience analyzing DNA sequencing data
• Strong Python and/or R programming skills
• Proficient with standard statistical analyses
• Strong publication record
• Excellent written and spoken English

PREFERENCES

• Experience using Amazon Web Services
• Proficiency with Unix-based systems
• Experience with collaborative software development via github/gitlab

SIMTech is looking for a highly motivated, independent, and innovative Software / DevOps engineer to join Sustainability Informatics & Strategy (SIS) Group. The successful candidate is expected to be creative and team-oriented, finding innovative solutions to new challenges and managing the software development life-cycle using Scrum / agile approaches. The candidate will work closely with other developers, UX designers, data scientists and engineers to deliver quality systems in a timely fashion.

JOB DESCRIPTION

The successful candidate is expected to contribute to Software Development and DevOps activities in the research area of sustainability, where they will be working alongside a team of full-stack developers, and with scientists and engineers, to perform tasks including:

• Design and develop backend web applications and database schemas
• Deploy, scale and configure cloud applications
• Manage source codes and maintain workflows for version control
• Fix and troubleshoot code issues and technical issues
• Perform program coding & testing in compliance with approved life cycle methodologies
• Resolve application-based issues through debugging, research, and investigation

JOB REQUIREMENT

• Degree in Computer Science/Engineering (or equivalent experience).
• Proficiency in at least two of the following:
• Frontend technologies and frameworks (i.e. React, Angular)
  Python web frameworks (e.g. FastAPI)
  SQL Databases, and ORMs (e.g. SQLAlchemy)
  
• Prior experience using source control systems, specifically Git. While in-depth knowledge of advanced features is not required, candidates should understand the basic functions such as committing changes, pushing to repositories, and pulling updates.
• Preference for candidates with working knowledge of DevOps (AWS Cloudformation/ IAM) and AWS Cloud Services (Cognito, Amplify, API Gateway, S3, RDS, Lambda)
• Preference for candidates with a basic understanding of Tableau for creating data visualizations. Training or coursework involving Tableau or similar data visualization tools is preferred, though hands-on professional experience is not required
• Ability and willingness to learn new technologies quickly
• Ability to communicate complex procedures to other colleagues
• Strong hands-on capabilities
• Diligent and possess a positive work attitude
• Good communication, writing and presentation skills

PREFERRED SKILLSETS AND EXPERIENCES

• Prior experience in performing Life Cycle Assessment
• Familiarity with LCA-associated standards (ISO 14025/40/44/64/67 and BS EN 15804 standards)
• Knowledge of ESG reporting framework (for e.g. GHG Protocol Corporate Standard, GRI, TCFD, etc.)
• Familiarity with ISO 15663/86 standards
• Experience with commercial LCA tools and Databases (for e.g. OpenLCA, Brightway2, ecoinvent, etc.)
• Knowledge and understanding of green finances and voluntary carbon market

SIMTech is looking for a highly motivated, independent, and innovative Software / DevOps engineer to join Sustainability Informatics & Strategy (SIS) Group. The successful candidate is expected to be creative and team-oriented, finding innovative solutions to new challenges and managing the software development life-cycle using Scrum / agile approaches. The candidate will work closely with other developers, UX designers, data scientists and engineers to deliver quality systems in a timely fashion.

JOB DESCRIPTION

The successful candidate is expected to contribute to Software Development and DevOps activities in the research area of sustainability, where they will be working alongside a team of full-stack developers, and with scientists and engineers, to perform tasks including:

• Design and develop backend web applications and database schemas
• Deploy, scale and configure cloud applications
• Manage source codes and maintain workflows for version control
• Fix and troubleshoot code issues and technical issues
• Perform program coding & testing in compliance with approved life cycle methodologies
• Resolve application-based issues through debugging, research, and investigation

JOB REQUIREMENT

• Degree in Computer Science/Engineering (or equivalent experience).
• Proficiency in at least two of the following:
• Frontend technologies and frameworks (i.e. React, Angular)
  Python web frameworks (e.g. FastAPI)
  SQL Databases, and ORMs (e.g. SQLAlchemy)
  
• Prior experience using source control systems, specifically Git. While in-depth knowledge of advanced features is not required, candidates should understand the basic functions such as committing changes, pushing to repositories, and pulling updates.
• Preference for candidates with working knowledge of DevOps (AWS Cloudformation/ IAM) and AWS Cloud Services (Cognito, Amplify, API Gateway, S3, RDS, Lambda)
• Preference for candidates with a basic understanding of Tableau for creating data visualizations. Training or coursework involving Tableau or similar data visualization tools is preferred, though hands-on professional experience is not required
• Ability and willingness to learn new technologies quickly
• Ability to communicate complex procedures to other colleagues
• Strong hands-on capabilities
• Diligent and possess a positive work attitude
• Good communication, writing and presentation skills

PREFERRED SKILLSETS AND EXPERIENCES

• Prior experience in performing Life Cycle Assessment
• Familiarity with LCA-associated standards (ISO 14025/40/44/64/67 and BS EN 15804 standards)
• Knowledge of ESG reporting framework (for e.g. GHG Protocol Corporate Standard, GRI, TCFD, etc.)
• Familiarity with ISO 15663/86 standards
• Experience with commercial LCA tools and Databases (for e.g. OpenLCA, Brightway2, ecoinvent, etc.)
• Knowledge and understanding of green finances and voluntary carbon market

Responsibilities:

• You will be exposed to different social research domains and streams of research methodologies
• Manage client-focused research projects, conduct analysis, and present insights in a visual and impactful manner. At the same time, you will be involved in scripting, sampling, and data processing of research studies.
• Assist in developing new methods of data collection using various software and other data related tools assigned to you at intervals.
• Account Management: Manage client queries, expectations and relationships to ensure client satisfaction
• Design, plan, execute, and manage research projects suitable for client needs
• Scripting of survey questionnaires with logic implementation
• Processing of research data using software with syntaxes and codes
• Monitor quantitative fieldwork and adhering to project schedules / deadlines
• Quality check and audit survey implementation to ensure accuracy of results
• Perform coding of open-ended (free text response) answers where required
• Create highly actionable and digestible reports in PowerPoint
• Present results of study confidently to external clients
• Drive the exploration of new research methodologies and data collection software
• Any other tasks as may be assigned by Head of Department

Requirements

• Minimum Bachelor’s degree (in Social Sciences / Mathematics / Business / Engineering / numerical fields)
• Strong interest in market research and willing to learn
• Versatile individual with a keen interest to pick up complimentary research skillsets
• Able to work with ambiguity and perform under pressure
• Strong quantitative and data analytical skills required
• Strong communication skills, both written and interpersonal
• Competent in MS Office, with some experience in data collection and/or statistical software e.g. SPSS (must), R, STATA etc. is preferred

Interested candidates, do submit your resume in MSWord to [email protected] or contact 62251232

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

One Research Engineer position is open in the research group of Assistant Professor Zhao Lin, at the Department of Electrical and Computer Engineering, National University of Singapore (NUS).

The Research Engineer (RE) will work closely with the Principal Investigator (PI) on visual navigation foundation model for mobile robots, exploration using reinforcement learning control, learning-based control, etc. The RE will develop and train algorithms that enable intelligent and robust autonomous navigation in unseen environments. Hardware experiments will be carried out to test and demonstrate the applications of the developed algorithms.

The initial appointment duration is 12 months, which can then be extended based on an evaluation at the end of the initial appointment.

The candidates should have a Master’s degree from a reputable university, with expertise in robot learning, reinforcement learning, and aerial robotics.

A successful candidate should have a solid mathematical background (such as in calculus, linear algebra, ODE/PDE, optimization, real analysis, probability theory, stochastic process, etc). Strong publication records in leading journals and conferences of the relevant fields, and practical hands-on experience in applying visual foundation models to real mobile robots are required.

Qualifications

• Possess a master’s degree in Computer Engineering/Science or strictly related (e.g., either Electrical Engineering, Mathematics, Communication, Mechanical, etc.)
• Have research experiences in computer vision, vision foundation model, control theory, reinforcement learning.
• Possess a strong academic record proved through coursework (especially math-intensive courses) and projects during his/her undergraduate and master’s studies.
• Proficient in C++ or Python. Familiar with machine-learning tools and packages. Familiar with various 3D simulation environments for quadrotor simulations. Familiar with ROS and quadrotor control algorithms.
• Have well-established analytical and problem-solving skills, as documented by publications that are relevant to the field of robot navigation, reinforcement learning control for robotics applications.
• Excellent communication skills as he/she is required to publish and present results at conferences and journals independently.
• Activity performed in world-class research environments is highly valued.

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. 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 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 at the Yang Zhang Lab. He/she should possess experience or interest in the following research areas:

• Artificial Intelligence (AI) and Deep Machine Learning
• Protein Folding and Structure Prediction
• Protein and Peptide Design and Engineering
• Protein-ligand Docking and Drug Screening

We are particularly interested in the development of new AI-based approaches to cancer therapeutics. Skills in computational coding and creativity in scientific method design, together with high interest in computational cancer medicine, are critical.

Only shortlisted candidates will be notified.

Job Requirements

PhD in computer science or computational biology, with skills and research experience in AI and deep learning.

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 Centre for Banking & Finance Law (CBFL) at the Faculty of Law, National University of Singapore, strives to be at the forefront of legal developments in banking and finance. Its mission is to contribute ideas for improving financial systems at the national, regional, and global levels. The Centre aims to foster a vibrant community that generates scholarship, policy recommendations, and intellectual exchanges focused on enhancing the robustness, soundness, and stability of the banking sector, capital markets, and other financial services.

The Centre invites applications from qualified candidates in the field of banking and finance law to undertake research and contribute to its activities. It welcomes research proposals across all areas of banking and finance law, including but not limited to: digitisation, artificial intelligence, cryptocurrencies, ESG, AML, payments, trade finance, credit and security, and financial consumer protection.

1. BENEFITS
   Employment on a full-time contract at NUS Law for one year.
2. A remuneration package commensurate with qualifications and experience.
3. Eligibility to apply for research and conference funding from CBFL to support attendance at academic conferences and to conduct field research, where required.
4. Allocation of a workstation within CBFL.

DUTIES

1. Develop and pursue a research agenda, including undertaking research projects on topics related to banking and/or finance law, with a view to publication in suitable journals, edited volumes, reputable blogs or other appropriate online media.
2. Present work-in-progress at CBFL research seminars with a view to refining it for publication.
3. Assist in other CBFL research projects and initiatives, as assigned by the CBFL leadership.
4. Attend and contribute to CBFL events.
5. Residence in Singapore throughout the term of appointment, subject to the standard NUS terms for annual and academic leave.

Qualifications

REQUIREMENTS
The applicant must possess strong organisational skills, self-motivation, diligence, the ability to meet deadlines, and keen attention to detail. Excellent command of the English language, both written and oral, is essential, along with demonstrated ability to independently produce publishable research.

The required academic qualifications are position-dependant:

Research Associate
An appointment as a Research Associate may be offered to an applicant who has an LLM (Hons) degree and a minimum of two years’ post-graduation experience.

APPLICATION PROCEDURE

Applications are to be submitted via the NUS Career Portal. The application must comprise:

1. Cover letter
The cover letter should, among other things, explain your interest in the position. You are not required to express a preference for any specific listed position, as this will be determined based on your qualifications, background, and expertise. Additionally, the letter should include a statement outlining your research plans for the next one to two years.

2. Curriculum Vitae
A curriculum vitae should be submitted, providing comprehensive and detailed information about your academic institutions, honours, awards, complete publication record, and professional experience (both current and previous). Please include dates of employment and job descriptions for all roles.

3. Writing sample
Since the successful applicant is expected to develop their own research to a publishable standard, a writing sample must be included with the application. Ideally, this sample should relate to some aspect of your proposed research. Please submit the sample in Word format only.

4. Letters of Recommendation
The application must be supported by two references from academic referees. Applicants are requested to arrange for their referees to send their references to [email protected] by the closing date.

5. Closing Date
The closing date for the receipt of applications and references is Friday, 10 January 2025. Applications must be submitted at NUS career portal.

6. Shortlisting and Interview
Shortlisted applicants will be invited for an interview on a date to be arranged. All applicants will be notified of the status of their application within two months of the closing date.

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 Centre for Banking & Finance Law (CBFL) at the Faculty of Law, National University of Singapore, strives to be at the forefront of legal developments in banking and finance. Its mission is to contribute ideas for improving financial systems at the national, regional, and global levels. The Centre aims to foster a vibrant community that generates scholarship, policy recommendations, and intellectual exchanges focused on enhancing the robustness, soundness, and stability of the banking sector, capital markets, and other financial services.

The Centre invites applications from qualified candidates in the field of banking and finance law to undertake research and contribute to its activities. It welcomes research proposals across all areas of banking and finance law, including but not limited to: digitisation, artificial intelligence, cryptocurrencies, ESG, AML, payments, trade finance, credit and security, and financial consumer protection.

BENEFITS

1. Employment on a full-time contract at NUS Law for one year.
2. A remuneration package commensurate with qualifications and experience.
3. Eligibility to apply for research and conference funding from CBFL to support attendance at academic conferences and to conduct field research, where required.
4. Allocation of a workstation within CBFL.

DUTIES

1. Develop and pursue a research agenda, including undertaking research projects on topics related to banking and/or finance law, with a view to publication in suitable journals, edited volumes, reputable blogs or other appropriate online media.
2. Present work-in-progress at CBFL research seminars with a view to refining it for publication.
3. Assist in other CBFL research projects and initiatives, as assigned by the CBFL leadership.
4. Attend and contribute to CBFL events.
5. Residence in Singapore throughout the term of appointment, subject to the standard NUS terms for annual and academic leave.

Qualifications

REQUIREMENTS

The applicant must possess strong organisational skills, self-motivation, diligence, the ability to meet deadlines, and keen attention to detail. Excellent command of the English language, both written and oral, is essential, along with demonstrated ability to independently produce publishable research.

The required academic qualifications are position-dependant:

Research Fellow
An appointment as a Research Fellow may be offered to an applicant who has recently obtained a Ph.D. degree in law.

APPLICATION PROCEDURE

Applications are to be submitted via the NUS Career Portal. The application must comprise:

1. Cover letter
The cover letter should, among other things, explain your interest in the position. You are not required to express a preference for any specific listed position, as this will be determined based on your qualifications, background, and expertise. Additionally, the letter should include a statement outlining your research plans for the next one to two years.

2. Curriculum Vitae
A curriculum vitae should be submitted, providing comprehensive and detailed information about your academic institutions, honours, awards, complete publication record, and professional experience (both current and previous). Please include dates of employment and job descriptions for all roles.

3. Writing sample
Since the successful applicant is expected to develop their own research to a publishable standard, a writing sample must be included with the application. Ideally, this sample should relate to some aspect of your proposed research. Please submit the sample in Word format only.

4. Letters of Recommendation
The application must be supported by two references from academic referees. Applicants are requested to arrange for their referees to send their references to [email protected] by the closing date.

5. Closing Date
The closing date for the receipt of applications and references is Friday, 10 January 2025. Applications must be submitted at NUS Career portal.

6. Shortlisting and Interview
Shortlisted applicants will be invited for an interview on a date to be arranged. All applicants will be notified of the status of their application within two months of the closing date.

The School of Chemistry, Chemical Engineering and Biotechnology (CCEB) invites applications for the position of Research Fellow.

The Research Fellow will take on a significant role to contribute to the design, computational modelling, and experimental synthesis of oligosaccharides, glycopeptides, and glycoproteins. The position aims to advance the synthesis and computational simulation of functional molecules, while enhancing the research profile and reputation of NTU.

Key Responsibilities:

• Conduct synthetic experiments on the research project related to glycoprotein/peptides for bacterial metabolic labelling.
• Perform computational simulations on cyclic and acyclic glycopeptides.
• Conduct independent research and publish in reputable academic journals.
• Mentor junior PhD students and undergraduate students.
• Lead scientific projects related to carbohydrate chemistry and peptide synthesis.
• Communicate research outcomes through written reports, publications, and presentations to audiences.
• Ensure compliance with health and safety protocols in laboratory settings.

Job Requirements:

• PhD in Chemistry or a related field, with a strong publication record (graduated within the past 5 years).
• Proficiency in carbohydrate chemistry; experience in peptide/protein synthesis is a plus.
• Experience in computational design and experimental synthesis.
• Good writing and communication skills.
• Ability to work independently and in a collaborative, interdisciplinary research environment.

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

Applications are invited for the following full-time position in the Saw Swee Hock School of Public Health:

A research assistant position is available in the Saw Swee Hock School of Public Health to support the Principal Investigators in research projects in the areas of Environmental and Cancer Epidemiology.

Major duties and responsibility of the position include but are not limited to:
• Data collection and management
• Literature review
• Data analysis using software such as R, Stata or SAS.
• Designing, testing, and administering surveys and questionnaires
• Research coordination
• Preparation of reports, presentations, manuscripts.

The candidate must be an independent, highly motivated, and mature worker who is well-organized and demonstrates a growth mindset. Candidate must possess excellent written and verbal communication skills. He/She must have strong interpersonal skills and the ability to work effectively with colleagues to achieve team goals. Good proficiency in the following areas is preferred:

1. Microsoft Office Applications, particularly MS Word, Excel, Powerpoint
2. Experience in R, Python

The successful applicant is expected to possess at least a Bachelor’s Degree in Epidemiology, Public Health, Environmental Health, Biological Sciences, Biostatistics, Data Science, preferably with relevant experience. Prior experience with machine learning is a plus.

Recruitment is open immediately and will continue until the position is filled. Applicants should send a brief statement of interest, CV, three named references, and other supporting documents during the application. In your statement of interest, please highlight your relevant experience and interest in environmental and cancer epidemiology research.

We regret that only shortlisted candidates will be notified.

• 2 year contract + perm benefit

• Nearest MRT: Tampines East

• Previous experience in research is more advantageous.

Job Description

1. Support the conceptualisation and management of studies related to correctional research and evaluation.
2. Conduct literature reviews and write reports.
3. Collect and analyze research data.
4. Provide publication-related support.
5. Coordinate with internal and external parties to facilitate research studies or related requests.
6. Maintain online knowledge management initiatives and miscellaneous management of e-resources.
7. Any other duties as assigned.

Job Requirement

1. Singaporean only.
2. Min Degree (Preferably Degree in Psychology/Social Sciences/ relevant qualification).
3. Strong writing, interpersonal, and communication skills.
4. Proficiency in statistical software (SPSS).
5. Previous experience in research is more advantageous.

*Salary offered depends on experience and qualification.

Interested candidates please click “Apply Now”.

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

Nicky Yew Soo Ee

Fulfillment Team

BGC Group Pte Ltd

EA: 05C3053

Registration No: R22109448

Candidate will be required to develop, secure and manage industry partnerships for the NGTC. Candidate should stay updated on RF/mmWave GaN market trends and conduct thorough market research and competitive analysis on companies, competitors and the market for actionable insights. This may involve conducting SWOT analyses to enable NGTC to come up with a strategic plan to optimise business and research collaborations.

Candidate will also be responsible for developing and executing marketing strategies to promote NGTC’s capabilities to interested parties.

Candidate will be required to work alongside various internal and external stakeholders and teams to develop NGTC’s strong value propositions and assist with market intelligence to shape the NGTC’s strategies.

Candidate will be required to carry out account management of companies for NGTC to strengthen customer relationships.

Candidate will be required to coordinate and engage with internal stakeholders such as A*STAR’s Industry and Enterprise Group, Institute of Microelectronics or various other public sector agencies.

Requirements:

• Degree in Science or Engineering
• Minimum 5 years of relevant working experience, preferably with a background in GaN technology and industrial commercialization.
• Able to structure and negotiate collaboration agreements.
• Strong analytical skills.
• Strong communication (written and verbal), marketing and interpersonal skills.
• Results oriented, pro-active, and a team player.
• Adaptable and comfortable working in a fast-paced and fast-changing environment.
• Passion to develop Singapore’s semiconductor ecosystem.

As part of IME Integrated Circuit Design and System Department, we are seeking a candidate with relevant experience in analog integrated circuit design. This candidate will contribute to developing analog circuit blocks e.g. low-power operational amplifiers, voltage/current references, and voltage regulators based on thorough topology analysis. This candidate will work closely with other team members for the circuit design, test verification, as well as system integration and validation for a broad range of innovative sensor systems.

Role & Responsibilities

• Circuit schematic design and simulation, layout supervision, pre-tapeout design verification, test plan development and chip measurement
• Work together with teams to investigate novel circuit/system solutions to create new inventions

Requirements

• Bachelor’s / Master’s degree in Electronic Engineering
• Good understanding of CMOS analog IC design methodologies
• Familiar with analog IC design and verification flow
• Industry experience would be a plus
• Familiar with the IC test equipment such as oscilloscope, spectrum analyzer, etc.
• Able to generate high-quality scientific publications and patents
• Team player, quick learner and self-driven

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

One Research Engineer position is open in the research group of Assistant Professor Zhao Lin, at the Department of Electrical and Computer Engineering, National University of Singapore (NUS).

The Research Engineer (RE) will work closely with the Principal Investigator (PI) on visual navigation foundation model for mobile robots, exploration using reinforcement learning control, learning-based control, etc. The RE will develop and train algorithms that enable intelligent and robust autonomous navigation in unseen environments. Hardware experiments will be carried out to test and demonstrate the applications of the developed algorithms.

The initial appointment duration is 12 months, which can then be extended based on an evaluation at the end of the initial appointment.

The candidates should have a Master’s degree from a reputable university, with expertise in robot learning, reinforcement learning, and aerial robotics.

A successful candidate should have a solid mathematical background (such as in calculus, linear algebra, ODE/PDE, optimization, real analysis, probability theory, stochastic process, etc). Strong publication records in leading journals and conferences of the relevant fields, and practical hands-on experience in applying visual foundation models to real mobile robots are required.

Qualifications

• Possess a master’s degree in Computer Engineering/Science or strictly related (e.g., either Electrical Engineering, Mathematics, Communication, Mechanical, etc.)
• Have research experiences in computer vision, vision foundation model, control theory, reinforcement learning.
• Possess a strong academic record proved through coursework (especially math-intensive courses) and projects during his/her undergraduate and master’s studies.
• Proficient in C++ or Python. Familiar with machine-learning tools and packages. Familiar with various 3D simulation environments for quadrotor simulations. Familiar with ROS and quadrotor control algorithms.
• Have well-established analytical and problem-solving skills, as documented by publications that are relevant to the field of robot navigation, reinforcement learning control for robotics applications.
• Excellent communication skills as he/she is required to publish and present results at conferences and journals independently.
• Activity performed in world-class research environments is highly valued.

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 to recruit a research fellow to join the Bezos Centre for Sustainable Protein at the National University of Singapore (NUS) launched on 5 September 2024, the first of its kind in Asia to advance research in alternative proteins. Led by experts from NUS and research institutes in Singapore, the Centre aims to drive global food security and accelerate regional innovation. The focus will be on microalgae research and biomass fermentation, to produce high-quality, affordable, and sustainable microbial proteins from microalgae and biomass fermentation that can be further developed into cultured meat and plant-based protein hybrids. Microbial proteins will be cultivated through fermentation and processed using emerging bio-physical techniques for effective biotransformation, to improve digestibility, flavour, and nutritional profile. The research will also investigate methods to scale up the production of alternative protein products. More information about the centre can be found here: https://www.fst.nus.edu.sg/bezoscentre/.

As a research fellow, you will lead projects to optimise microalgae cultivation processes and apply bio-physical techniques to improve nutritional and organoleptic properties. Appointments will be initially made on a 1-year contract, renewable for up to 5 years.

Responsibilities:
- Conduct research activities in accordance with the Centre objectives involving but not limited to:
i. Conversion of industrial food side-streams into media suitable for microalgae cultivation.
ii. Microalgae cultivations in flask and benchtop bioreactors under batch, fed batch, or continuous modes.
iii. Conduct chromatographic, spectroscopic, and fluorescent analyses to monitor microalgae growth.
iv. Monitor the success of bio-physical techniques via in vitro digestibility studies, chromatography, and advanced microscopic analyses.
v. Assist in scaling up cultivations to pilot scale setting.
- Conceptualise new ideas, plan, and drive the overall direction of projects.
- Independently execute experiments, analyse data, and interpret results in a systematic and logical manner.
- Prepare formal reports, publications, grant applications, and presentations.
- Contribute to project management by overseeing budgets, designating resources, monitoring progress, and managing stakeholders.
- Mentor research assistants, graduate and undergraduate students.
- Coordinate research efforts with an interdisciplinary and international team of researchers within the Centre and other stakeholders.
- Coordinate procurement and liaison with vendors/suppliers.
- Ensure proper laboratory operation and equipment maintenance.
- Other duties as required.

Applications:
Please include the cover letter, CV (including personal particulars, academic and employment history, complete list of publications/oral presentations), academic transcripts, university certificate, and the contact information of 3 referees in your application. Only shortlisted candidates will be notified.

Qualifications

- A PhD degree in food science, bioprocess engineering, chemical engineering, microbiology, or a related discipline.
- Hands-on-experience in any of the following areas: single-cell biomass cultivation, chromatographic analytical methods, flow cytometry, upcycling of food side-streams, bioreactor or fermenter operation, qPCR, design of experiments, in vitro digestibility studies, single-cell downstream processing. Other areas where the candidate can prove its utility towards microalgae/biomass fermentation for food applications are also welcome.
- Proven track record in peer-reviewed research publications and presentations at international conferences.
- Excellent problem solving, critical thinking, and analytical skills.
- Strong verbal and written communication skills in English are required.
- Excellent communication and interpersonal skills to collaborate within a culturally diverse and cross-disciplinary team, and other stakeholders.
- Proactive, with the ability to conduct experiments independently.
- Highly motivated in developing sustainable and novel foods.
- Meticulous, well-organised, and detail oriented.

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 Centre for Banking & Finance Law (CBFL) at the Faculty of Law, National University of Singapore, strives to be at the forefront of legal developments in banking and finance. Its mission is to contribute ideas for improving financial systems at the national, regional, and global levels. The Centre aims to foster a vibrant community that generates scholarship, policy recommendations, and intellectual exchanges focused on enhancing the robustness, soundness, and stability of the banking sector, capital markets, and other financial services.

The Centre invites applications from qualified candidates in the field of banking and finance law to undertake research and contribute to its activities. It welcomes research proposals across all areas of banking and finance law, including but not limited to: digitisation, artificial intelligence, cryptocurrencies, ESG, AML, payments, trade finance, credit and security, and financial consumer protection.

BENEFITS

1. Employment on a full-time contract at NUS Law for one year.
2. A remuneration package commensurate with qualifications and experience.
3. Eligibility to apply for research and conference funding from CBFL to support attendance at academic conferences and to conduct field research, where required.
4. Allocation of a workstation within CBFL.

DUTIES

1. Develop and pursue a research agenda, including undertaking research projects on topics related to banking and/or finance law, with a view to publication in suitable journals, edited volumes, reputable blogs or other appropriate online media.
2. Present work-in-progress at CBFL research seminars with a view to refining it for publication.
3. Assist in other CBFL research projects and initiatives, as assigned by the CBFL leadership.
4. Attend and contribute to CBFL events.
5. Residence in Singapore throughout the term of appointment, subject to the standard NUS terms for annual and academic leave.

Qualifications

REQUIREMENTS

The applicant must possess strong organisational skills, self-motivation, diligence, the ability to meet deadlines, and keen attention to detail. Excellent command of the English language, both written and oral, is essential, along with demonstrated ability to independently produce publishable research.

The required academic qualifications are position-dependant:

Senior Research Fellow
An appointment as a Senior Research Fellow may be offered to an applicant who has a PhD degree in law and a minimum 3 years’ post-doctoral research experience.
.

APPLICATION PROCEDURE

Applications are to be submitted via the NUS Career Portal. The application must comprise:

1. Cover letter
The cover letter should, among other things, explain your interest in the position. You are not required to express a preference for any specific listed position, as this will be determined based on your qualifications, background, and expertise. Additionally, the letter should include a statement outlining your research plans for the next one to two years.

2. Curriculum Vitae
A curriculum vitae should be submitted, providing comprehensive and detailed information about your academic institutions, honours, awards, complete publication record, and professional experience (both current and previous). Please include dates of employment and job descriptions for all roles.

3. Writing sample
Since the successful applicant is expected to develop their own research to a publishable standard, a writing sample must be included with the application. Ideally, this sample should relate to some aspect of your proposed research. Please submit the sample in Word format only.

4. Letters of Recommendation
The application must be supported by two references from academic referees. Applicants are requested to arrange for their referees to send their references to [email protected] by the closing date.

5. Closing Date
The closing date for the receipt of applications and references is Friday, 10 January 2025. Applications must be submitted at NUS Career portal.

6. Shortlisting and Interview
Shortlisted applicants will be invited for an interview on a date to be arranged. All applicants will be notified of the status of their application within two months of the closing date.