We are seeking to recruit a highly motivated Research Fellow/Research Scientist to support the institute’s overall Research and Innovation goals.

Job Description:

The Research Fellow/Research Scientist will be responsible for engineering novel CAR-NK cells with superior anti-tumor efficacy, enhanced tumor infiltration, and excellent resilience against the suppression by the tumor microenvironment.

Job Requirement:

• PhD in Immunology or Cell Biology
• Possess at least a minimum of 5 years relevant work experience
• Substantial background and publication records in cancer immunology, particularly on T and NK cells
• Experience working with patient-derived samples and experimental models
• Good organisational, verbal and interpersonal skills
• Exhibit ability in mentoring and leading the project

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.

We are seeking to recruit a highly motivated Research Fellow/Research Scientist to support the institute’s overall Research and Innovation goals.

Job Description:

The Research Fellow/Research Scientist will be responsible for engineering novel CAR-NK cells with superior anti-tumor efficacy, enhanced tumor infiltration, and excellent resilience against the suppression by the tumor microenvironment.

Job Requirement:

• PhD in Immunology or Cell Biology
• Possess at least a minimum of 2 years relevant work experience
• Substantial background and publication records in cancer immunology, particularly on T and NK cells
• Experience working with patient-derived samples and experimental models
• Good organisational, verbal and interpersonal skills
• Exhibit ability in mentoring and leading the project

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.

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 at the Centre for Research in Health Systems Performance (CRiHSP):

Research Fellow (Health Equity)

Centre for Health and Healthcare

Project Fellow (Forum Equivalent Level II), Location: Singapore

The World Economic Forum (the Forum) is an International Organisation for Public-Private Cooperation, engaging global leaders to shape major agendas across sectors. Its Centre for Health and Healthcare focuses on enhancing healthcare systems by scaling solutions for resilience, efficiency, and equity through diverse stakeholder engagement.

The Centre has launched the “Digital Healthcare Transformation (DHT) Initiative,” a multi-year program to boost public-private partnerships in digital health, data, and AI. This initiative complements the Global Health Equity Network (GHEN), which promotes health equity and patient-centred system transformation.

Singapore, a leader in healthcare delivery and equity due to its investment in digital health, will be highlighted as a World Economic Forum Centre for Health and a Healthcare Country Lighthouse. This collaboration aims to showcase Singapore’s healthcare success globally and identify opportunities for Public-Private Partnerships to advance health equity through digital transformation.

Job Description

The Fellowship role will manage projects and provide expertise on Health Equity, access to care, and social determinants of health. The Fellow will support the Forum’s work in developing Singapore as a Country Lighthouse, conduct research on its health system transformation, and share insights on health equity. He/She will also coordinate with regional working groups and engage with local and global partners, including the Centre for the Fourth Industrial Revolution (C4IR) Network and the Accelerators Network, and contribute to the Forum's Health Equity strategy and broader global efforts.

The Health Equity effort in Singapore as well as the proposed pilot place-based change programme(s) will link to a broader global Global Health Equity strategy and pre-existing place-based change work (launching by the GHEN in 2024). This will provide existing best practice and networks that can be adapted to the new regional efforts in ASEAN.

This role is based in Singapore and hosted within the NUS Centre for Research in Health Systems Performance (CRiHSP). The Fellow will be involved in projects from the Forum’s Centre for Health and Healthcare. The Fellow will report directly to the NUS Principal Investigator, as well as to the Forum's Lead for Health Equity.

The fellowship is for 3 years (or until January 2028, whichever comes first, if applicable). Initially, a 1-year contract will be offered, renewable based on performance.

Main Duties and Responsibilities

• Research and draft a White Paper on Singapore’s health system transformation journey, including leading interviews with key Health Equity stakeholders and identifying future opportunities for collaboration.
• Develop and execute a dissemination plan for key learnings from the paper, including public engagement opportunities and convening interested stakeholders to share best practice.
• Support the broader GHEN team to incubate and manage a regional public-private working group focused on specific Health Equity gaps and opportunities identified in the research, to support the building on existing Singapore-led work in Southeast Asia to scale regional health equity development and innovation; and incorporating key topics in health equity such as access, trust, and impact measurement.
• Contribute to the Forum’s broader global Health Equity strategy with Singapore-based insights and case studies - linking also to the Digital Healthcare Transformation Initiative in partnership with the Digital Healthcare Transformation Fellow.
• Drive partner engagement opportunities in Singapore with all relevant stakeholder groups across sectors.

Qualifications

• Doctoral degree in relevant fields such as public health, healthcare policy, or medicine.
• At least 8 years of professional experience with expertise in health industry strategies and operations across various regions.
• In-depth knowledge of health equity, including clinical, technical aspects, social determinants, and impact measurement methodologies.
• Extensive experience collaborating with public and private sector stakeholders in Singapore on multi-sectoral partnerships.
• Proficient in analysing complex issues using business intelligence and making informed recommendations.
• Strong project management and coordination skills, with attention to detail and critical thinking abilities.
• High proficiency in English with excellent communication skills.
• Ability to navigate multi-stakeholder interests and drive impactful societal action.
• Experience in producing thought leadership content such as blogs, research papers, and reports.
• Proven interest in social issues, personal integrity aligned with World Economic Forum's mission, and willingness to travel internationally.

Application

All applications will be submitted through CHRS Recruiting portal

1. Cover letter introducing themselves, career goals and earliest start date.
2. Brief statement of interest matching their skills and competencies to the requirements of the post (no more than 500 words).
3. Curriculum Vitae, containing contact information of three named referees.
4. A sample of published work that is the most relevant to the current vacancy, if available.

Recruitment is open immediately. For further inquiries about the position, feel free to contact Prof. Jose Valderas ([email protected]). Only shortlisted candidates will be contacted for interviews.

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 successful candidate will work with Prof. Stephen Pointing on marine environmental microbiology under a project on “ Characterising the role of the sea-surface microlayer in regulating microbial dispersal, human exposure, and pollutant transformation”.

The main responsibilities of the position include:
Marine fieldwork, molecular laboratory work on metagenomes and metatranscriptomes

Qualifications

• Qualifications / Discipline: PhD

• Skills: Marine fieldwork, molecular biology lab skills, bioinformatics computational skills

• Experience: ≥1yr postdoctoral research experience

Job Purpose :

• Assist the teachers in planning, developing, delivering and evaluating appropriate individualized educational services, learning programmes and instructions for special needs students in both self-contained and integrated settings.

Key Responsibilities

• Assist teachers in managing students in classrooms and in community-based activities
• Supervise and assist individual or small groups of students in activities/educational tasks set by teachers
• Assist teachers in preparation of instructional materials and/or classroom environment for lessons
• Provide support for students with MID, Autism and other developmental disabilities. Priority is to support these students to develop skills to enhance personal care and independence, and support daily lessons/activities in and beyond the classroom including student profiling.
• Work with functional committees to plan and implement school-wide educational and recreational programmes.
• Collaborate and consult with allied professionals, parents/caregivers and external agencies to ensure quality support and well-being of students.

Job Requirements:

• Minimum GCE “N” level, NITEC, polytechnic diploma or equivalent
• Possess good Time Management, Problem Solving and Decision Making and Effective Oral and Written Communications Skills.
• Possess prior experience educating persons with Mild Intellectual Disabilities (MID)
• Possess working knowledge of educational technology applications
• Experience in diagnosing and assessing learning disorders
• Proven effective classroom and student behaviour management skills
• Knowledge of current special education practices and methodologies

Seeking a full-time Research Assistant to join a team of researchers working to advance visual analytics in computer vision. Successful applicants will contribute to a research project that develops new techniques in image and video analysis.

Candidates should possess a strong interest in learning and researching state-of-the-art computer vision techniques, as well as a strong ability in coding and mathematics.

This position is ideal for individuals interested in pursuing an academically grounded, applied research career.

The candidate will be expected to:

• Understand basic machine learning and AI methodologies
• Code and run computer vision algorithms
• Contribute towards research conceptualization and methodology
• Assist in the preparation of manuscripts and reports for publications
• Collaborate and communicate research updates with both internal and external stakeholders

Skills and qualifications required:

• Obtained a Bachelors degree related to the computer science or mathematics
• Excellent written and verbal communication skills
• Strong programming skills.
• Proficiency with Python

How to apply:

Interested applicants are encouraged to send in their application with the following documents:

• Cover letter explaining your interest in the position and addressing the qualifications and skills requirements (1-2 pages)
• Curriculum vitae

Enquiries about the position can be addressed to Assistant Professor De Wen Soh ([email protected])

Appointment will be initially made on contract basis for one year, renewable subject to good performance and mutual agreement.

We regret that only shortlisted candidates will be notified.

About us:

Data science is an important component of biomedical and translational research, where data of multiple modalities are being constantly generated at unprecedented scale. The Research Data Integration group in the Biomedical Datahub Division of the Bioinformatics Institute (BII), A*STAR, aims to bridge the complexity of computational biology and data science with the needs of biologists and clinicians to drive biological discoveries and predict translational outcomes. One of our immediate challenges is to analyze and integrate and analyze multi-omics, imaging and clinical data generated by biomedical institutes in A*STAR, healthcare institutions and national initiatives in Singapore to improve the usability and interpretability of large-scale multimodal datasets of cancer, metabolic diseases, and other diseases. We seek motivated individuals to join us to push the potential of biomedical data in truly benefitting patients.

Job description:

We are developing data platforms in BII Biomed DAR, integrating healthcare data including clinical and research data, for various diseases including cancer, metabolic diseases and skin diseases. We are seeking a computational scientist to develop analytical, statistical and machine learning methodologies and workflows for analysis and integration of large-scale multi-dimensional omics (bulk, single-cell, spatial), perturbation screens, imaging and clinical data) for these data platforms. The candidate is expected to drive data science research to uncover underlying diseases biology, druggable targets and develop personalized medicine approaches. This position offers the candidate an opportunity to work closely with a team of clinicians, wet-lab scientists and computational biologists. He/She is also expected to drive high impact publications and manage large-scale projects, include data management.

Requirements:

• PhD in Bioinformatics, Computational Biology, Data Science, Computer Science, Mathematics, Engineering or a related field with at least 5 years of relevant experience.
• Proficient programming skills (e.g. Python, R, RStudio, Jupyter Notebook, Shinyapps).
• Familiarity with Unix/Linux environment and cloud architecture (AWS).
• Experience in large-scale omics (bulk, single-cell, spatial) data analysis and/or AI/ML.
• A background in life sciences, biology or biomedical informatics is preferred.
• Knowledge in data standards and interoperability.
• Strong analytical and problem-solving skills.
• Excellent oral and written communication and presentation skills.
• Able to work independently, and as part of a team, with a positive and enthusiastic learning attitude.
• Competent project and data management and organizational skills will be very valuable.

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.

Project Overview

We are seeking a Research Scientist to systematically organize knowledge for a project on “Designing human-AI teams.” The project is part of a five-year research program on "Mens, Manus and Machina—How AI Empowers People, Institutions and Cities in Singapore (M3S)."

Successful applicants for this position will have the opportunity to work on a cutting-edge, interdisciplinary project that aims to dramatically rethink how people and AI systems will work together in the future. To do this, the project seeks to build a strong scientific foundation for how AI can augment (as opposed to replace) humans.

An important goal of the project is to develop a rich ontology of activities that can be performed by human-AI teams. Like categorizing the plants and animals on a little-explored continent, the work will involve cataloging many (a) activities and (b) possible human-computer processes for performing these activities.

To do this, we will develop knowledge graphs that include (1) descriptions of many different types of activities and processes, and (2) classifications of these descriptions into multi-dimensional taxonomies that range from very general types of activities to very specific ones.

These knowledge graphs will then be used to automatically generate promising ways of combining humans and AI systems to perform different tasks. In the long run, we believe these tools will help rapidly (a) identify use cases for new AI capabilities, (b) specify effective processes and task allocations to humans and computers in a given situation, and (c) identify innovative ways to combine people and AI to solve business and societal problems.

The T6 team is led by distinguished scholars, including Profs. Thomas Malone, Charles Fine, Armando Solar-Lezama, Jinhua Zhao, and Abdullah Almaatouq from MIT; Prof. Marcelo Ang from the National University of Singapore; and will be assisted by Prof. Archan Misra from Singapore Management University.

Responsibilities

• Developing descriptions of current or potential activities and processes based on various sources such as: interviews, field studies, literature reviews, and generative AI systems (such as ChatGPT).
• Making editorial decisions about what content from these sources to include in the knowledge graphs and how to present and organize this knowledge clearly.
• Collaborate with the project team and other researchers to design, implement, and evaluate research projects.
• Perform other duties as needed.
• Publish research results in top-tier conferences and journals, and disseminate research findings through presentations and other means.
• Participate in the mentorship and training of graduate and undergraduate students at MIT and in Singapore.
• Assist in grant writing, project management, and other administrative duties related to research activities.

Requirements

-Ph.D. in Social Science (such as Psychology, Sociology, Political Science, and Economics), Computer Science (e.g., with a focus on Human-Computer Interaction), Management, Organizational Behavior, Philosophy, Journalism, or other related fields by the start of the appointment.

-Ability to systematically organize knowledge in structured ways that are logical, comprehensive, understandable, and conceptually elegant.

-Skilled in software development, good writing ability, statistical analysis, and social science methodologies such as experimental design or ethnographic observation.

-Strong publication record in top-tier conferences and journals.

-Familiarity with statistical data analysis tools and techniques.

-Excellent communication and collaboration skills.

To apply, please visit our website at: https://portal.smart.mit.edu/careers/career-opportunities

Interested applicants are invited to send in their full CV/resume, cover letter and list of three references (to include reference names and contact information). We regret that only shortlisted candidates will be notified.

Job Description:

Be part of an exciting FAB Team working on cutting-edge advanced packaging process technologies. Partner and work with various teams in IME, to be the lead in FAB inventory management, logistic planning, and its related operations to always enable smooth operations and develop packaging solutions and taking the solutions from concept to production.

This position is based in Singapore.

Responsibilities:

• Looking for a reliable, agile, resourceful, meticulous and professional individual.
• Lead in plan, sourcing and initiate - raise purchase requests accordingly to day-to-day materials / spare parts requirements to ensure stock adequacies, required to ensure smooth Fab operations.
• Follow through the orders from the start of purchase till delivery and to ensure that goods are delivered are on time (include coordination of shipments etc. with forwarders when required etc.)
• Provide good supports on logistics and inventory movements required to enable smooth FAB cleanroom operations.
• Excellent interpersonal skills and communication skills so to work seamlessly with various stakeholders to ensure inventory adequacy and logistics efficiencies.
• Self-starter with strong ability to work with own initiative under minimal supervision.
• Process strong sense of customer service mind-set and teamwork.
• Strong flexibility and ability to handle multiple requests from across teams.
• Good communication, analytical, problem-solving skills.
• Put-up good initiatives to move forward towards systematic inventory digitalization.
• Ability to work in a multi-task environment and perform other duties assigned by Department Managers.

Experience:

• Education: Diploma in engineering discipline. Preferably in procurement, supply chain logistic/ warehouse operation.
• At least 3 years of related semiconductor engineering experiences; with good wide contacts with semiconductor material suppliers, equipment vendors.
• Relevant experience in analytics or strategic reporting will be an advantage.

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

• Design and synthesis of organic functional materials with persistent luminescence
• Design and synthesis of organic functional materials for theranostic applications
• Design and synthesis of nanomaterials for theranostic applications
• Cellular and bacteria studies to evaluate fluorescent probes
• Responsible for conducting high quality research, writing academic papers and collaboration with other researchers

Job Requirements

• Bachelor degree in Chemistry, Materials, Polymers and Chemical Engineering.
• Good knowledge in synthesis and characterization.
• Have good publication record and relevant research experience.
• Highly motivated and independent, strong problem-solving skills
• Good written and spoken communication
• Open to fixed-term contract

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.

Position Summary

The Infectious Diseases Translational Research Program (IDTRP) at the Yong Loo Lin School of Medicine, National University of Singapore (NUS) invites applications for the position of tenure track Assistant Professor. We seek an exceptional and motivated individual to develop and lead a research program in infectious diseases, with a focus on translational research that bridges fundamental discoveries and clinical applications.

The ideal candidate should have strong expertise and interests in microbial interactions inside the gut, and their impact on health and disease. The successful applicant will join a vibrant and collaborative team dedicated to advancing the understanding, prevention, and treatment of infectious diseases (https://medicine.nus.edu.sg/trp/infectious-diseases ).

Key Responsibilities

• Establish an independent, externally funded research program in infectious diseases with an emphasis on translational approaches.
• Conduct cutting-edge research that contributes to IDTRP’s goals, including vaccine development, antimicrobial resistance, pathogen-host interactions, and public health interventions.
• Collaborate with interdisciplinary teams including clinicians, scientists, and other stakeholders to drive impactful research.
• Mentor and supervise undergraduate, graduate, and postdoctoral researchers.
• Teach undergraduate and graduate-level courses in areas related to microbiology or immunology, anchored under the Department of Microbiology & Immunology.
• Publish high-quality, peer-reviewed research in leading journals and present findings at national and international conferences.
• Actively participate in IDTRP’s events, workshops, and outreach activities.

Qualifications

Essential:

• PhD, MD, or equivalent degree in microbiology, immunology, epidemiology, or a related field.
• Proven track record of research excellence as evidenced by first author original high impact publications.
• Strong potential to secure competitive external funding.
• Expertise in translational research methodologies.
• Demonstrated ability to work collaboratively in interdisciplinary teams.
• Excellent communication and leadership skills.

Desirable:

• Experience in teaching and curriculum development at the graduate level.
• Experience in mentoring and supervising research trainees.
• Research experience in tropical infectious diseases or diseases of global health significance.
• Familiarity with regulatory and ethical requirements for translational research.

Application Process

Applicants should submit the following:

1. A cover letter outlining their research and teaching interests.
2. A detailed curriculum vitae (CV).
3. A statement of research accomplishments and future plans.
4. A statement of teaching philosophy.
5. At least three professional references.

Applications will be reviewed on a rolling basis until the position is filled.

About Infectious Diseases Translational Research Program

The Infectious Diseases Translational Research Program (IDTRP) at the National University of Singapore (NUS) is dedicated to advancing research that transforms fundamental discoveries into real-world solutions. With a vision of creating a world where affordable and effective prevention, diagnosis, and treatment of infectious diseases improve health outcomes across Asia, IDTRP integrates expertise in microbiology, immunology, clinical research, and public health to address global challenges. Its mission is to foster a vibrant community of scientists and clinicians committed to impactful research and training in healthcare. By promoting a holistic, patient-centric approach to infectious diseases relevant to Singapore and the region and nurturing the next generation of basic and clinician-scientists, IDTRP aims to drive transformative progress in infectious disease research and healthcare innovation.

About Department of Microbiology and Immunology

The Department of Microbiology and Immunology has distinguished itself in biomedical research and has a broad spectrum of expertise. Research in the Department encompasses very diverse questions and uses a wide variety of approaches, experimental systems, and techniques. Principal Investigators of the Department are internationally recognized for research on immunology, medical virology, bacteriology, parasitology, molecular biology and biotechnology.

About NUS Yong Loo Lin School of Medicine

The NUS Yong Loo Lin School of Medicine is Singapore’s oldest and Asia’s top medical school, celebrating its 125th year anniversary in 2025. Today, the school produces cutting edge and impactful research, together with innovative education, seeking to impact change and enhance the practice of medicine in Singapore and beyond. The School is an integral part of a comprehensive university (NUS), with deep collaborative platforms across engineering, computer science, social science, public health, and others, and a long standing joint venture in the National University Health System (NUHS). The NUHS ecosystem is Singapore’s premier Academic Health Centre, encompassing three tertiary hospitals (National University Hospital, Ng Teng Fong Hospital and Alexander Hospital), three national specialist centres (National University Heart Centre, National University Cancer Institute and National University Centre for Oral Health), a primary care system and three health schools (medical school, dental school and school of public health), lending invaluable resource for clinical and translational research, not commonly found elsewhere. Together with other healthcare partners and research institutes in Singapore, the school is an important player in Singapore’s vibrant research and biotech ecosystem.

About us:

Data science is an important component of biomedical and translational research, where data of multiple modalities are being constantly generated at unprecedented scale. The Research Data Integration group in the Biomedical Datahub Division of the Bioinformatics Institute (BII), A*STAR, aims to bridge the complexity of computational biology and data science with the needs of biologists and clinicians to drive biological discoveries and predict translational outcomes. One of our immediate challenges is to analyze and integrate and analyze multi-omics, imaging and clinical data generated by biomedical institutes in A*STAR, healthcare institutions and national initiatives in Singapore to improve the usability and interpretability of large-scale multimodal datasets of cancer, metabolic diseases, and other diseases. We seek motivated individuals to join us to push the potential of biomedical data in truly benefitting patients.

Job description:

We are developing data platforms in BII Biomed DAR, integrating healthcare data including clinical and research data, for various diseases including cancer, metabolic diseases and skin diseases. We are seeking a computational scientist to develop analytical, statistical and machine learning methodologies and workflows for analysis and integration of large-scale multi-dimensional omics (bulk, single-cell, spatial), perturbation screens, imaging and clinical data) for these data platforms. The candidate is expected to drive data science research to uncover underlying diseases biology, druggable targets and develop personalized medicine approaches. This position offers the candidate an opportunity to work closely with a team of clinicians, wet-lab scientists and computational biologists. He/She is also expected to drive high impact publications and manage large-scale projects, include data management.

Requirements:

• PhD in Bioinformatics, Computational Biology, Data Science, Computer Science, Mathematics, Engineering or a related field.
• Proficient programming skills (e.g. Python, R, RStudio, Jupyter Notebook, Shinyapps).
• Familiarity with Unix/Linux environment and cloud architecture (AWS).
• Experience in large-scale omics (bulk, single-cell, spatial) data analysis and/or AI/ML.
• A background in life sciences, biology or biomedical informatics is preferred.
• Knowledge in data standards and interoperability.
• Strong analytical and problem-solving skills.
• Excellent oral and written communication and presentation skills.
• Able to work independently, and as part of a team, with a positive and enthusiastic learning attitude.
• Competent project and data management and organizational skills will be very valuable.

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.

We are seeking a highly motivated and skilled Bioinformatician to join our team. As a new team working at the intersection of synthetic biology, genomics and machine learning, we seek to develop innovative approaches in advancing the field of bioinformatics and protein structure using large language models. The ideal candidate will have a strong background in computational biology, programming, and a keen interest in protein structure and language models. If you are passionate about unraveling the mysteries of biological systems using computational methods, we encourage you to apply.

Job Responsibilities:

• Develop and implement state-of-the-art algorithms and models for protein structure prediction and analysis.
• Utilize deep learning frameworks such as PyTorch and TensorFlow to design and train novel protein language models.
• Collaborate with interdisciplinary teams to integrate bioinformatics methods into biological research projects.
• Analyze and interpret high-throughput biological data, including next-generation sequencing and structural biology data.
• Contribute to the development of software tools and pipelines for protein structure prediction and analysis.
• Stay updated with the latest advancements in bioinformatics, machine learning, and protein structure prediction methods.

Job Requirements:

• Bachelor/Master's degree in Bioinformatics, Computational Biology, Computer Science, or a related field.
• Strong programming skills in Python and experience with deep learning frameworks such as PyTorch and TensorFlow.
• At least 5 years of relevant experience
• Proficiency in molecular visualization software, preferably PyMOL, for protein structure analysis.
• Demonstrated interest in protein structure and protein language models, with a focus on applying computational methods to solve biological problems.
• Familiarity with natural language processing and language models is a significant advantage.
• Excellent problem-solving skills and the ability to work independently and collaboratively in a team-oriented environment.
• Effective communication skills and the ability to present complex findings to both technical and non-technical audiences.
• Previous research experience in bioinformatics, computational biology, or related fields is highly desirable.

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.

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:

Introduction

The National University of Singapore Centre for Trusted Internet and Community (CTIC) is dedicated to the inter-disciplinary study of the Internet and its implications on the society of the future. The first-of-its-kind centre will integrate social and behavioural science research, digital technologies, data-driven approaches, and policy studies to holistically examine the Internet and its societal impact including topics such as the future of privacy, freedom of expression, misinformation and disinformation, as well as maintaining social security and stability.

This is an exciting opportunity to join us as a Research Fellow in Communication, Journalism, and Related programs under a new programme titled “Digital Information Resilience: Restoring Trust and Nudging Behaviours in Digitalisation”.

Job Description

As a Research Fellow in Communication, Journalism, and Related programs with CTIC, you have demonstrated prior research experience, so you will be tasked with supporting the planning and execution of a research project under the CTIC Digital Resilience research grant. You will work closely with the Principal Investigator on a research problem related to news on social media.
RAs with a communication research background will be tasked to focus on human evaluation and news consumption (Communication research).
Ras with a computer science or related background will be tasked to focus on natural language processing and generation (NLProc, Large Language Models or LLMs, Computational Linguistics).
You will be handling and contributing to research and innovative findings in a team, leading to publications in top-tier conferences/journals as well as exciting real-world implementations. The level of responsibility and independence entrusted would be commensurate with prior experience and academic qualifications.

Job Responsibilities

As a Research Fellow with CTIC, you will have the following duties:

Research:
• Plan and lead literature review efforts
• Plan and draft submissions for conferences and journals based on findings.
• Plan and write op-eds for university blogs and popular media.
• Comm Research RAs:
o Plan and conduct experiments on human perception and consumption of online news.
o Collect data and analyze it using tools like SPSS, R, and Excel
• CS Research RAs:
o Plan and conduct experiments on the modeling of different facets of news and news quality
o Train models, finetune LLMs, collect data and analyze it
• Write op-eds for university blogs and popular media.

Coordination:
• Plan and oversee participant recruitment and logistics for survey experiments
• Plan, manage and maintain IRB documentation.

Each research paper will have the following phases to it:
• Phase 1 – Literature reviews
• Phase 2 – CS research design, or Social Science research design, including IRB applications.
• Phase 3 – Data collection and pre-processing.
• Phase 4 – Data analysis and result tabulation.
• Phase 5 – Research communication and writing of papers.

Qualifications

• Minimum Master’s Degree in Computer Science or Communications (or in any other closely-related field).
• Minimum 2 years of relevant research experience with publications, in one or more of the following areas:
o Experience required for Computer Science degree holders
- Natural language processing, machine learning and/or knowledge representation and reasoning.
- Prior first- or second-author publications and/or technical reports or theses
o Experience required for Communications degree holders
- Advanced statistical tests (e.g. moderation/ mediation, hierarchical regression etc.)
- Running standard statistical tests (e.g., using SPSS or SATS or R, for regression, ANOVA, etc.)
- Prior first- or second-author publications and/or technical reports or theses

• A good team player with effective communication skills and the ability to work closely with faculty, staff, students and external collaborators.
• Excellent written and verbal communication skills.

• Proactive problem-solving skills and a forward-thinking approach.

• Demonstrated ability to manage time and data efficiently.

• Proven track record of consistently meeting deadlines and following up on tasks.

Please note that only shortlisted candidates will be notified.

Project Overview

We are seeking a Research Engineer to systematically organize knowledge for a project on “Designing human-AI teams.” The project is part of a five-year research program on "Mens, Manus and Machina—How AI Empowers People, Institutions and Cities in Singapore (M3S)."

Successful applicants for this position will have the opportunity to work on a cutting-edge, interdisciplinary project that aims to dramatically rethink how people and AI systems will work together in the future. To do this, the project seeks to build a strong scientific foundation for how AI can augment (as opposed to replace) humans.

An important goal of the project is to develop a rich ontology of activities that can be performed by human-AI teams. Like categorizing the plants and animals on a little-explored continent, the work will involve cataloging many (a) activities and (b) possible human-computer processes for performing these activities.

To do this, we will develop knowledge graphs that include (1) descriptions of many different types of activities and processes, and (2) classifications of these descriptions into multi-dimensional taxonomies that range from very general types of activities to very specific ones.

These knowledge graphs will then be used to automatically generate promising ways of combining humans and AI systems to perform different tasks. In the long run, we believe these tools will help rapidly (a) identify use cases for new AI capabilities, (b) specify effective processes and task allocations to humans and computers in a given situation, and (c) identify innovative ways to combine people and AI to solve business and societal problems.\

The T6 team is led by distinguished scholars, including Profs. Thomas Malone, Charles Fine, Armando Solar-Lezama, Jinhua Zhao, and Abdullah Almaatouq from MIT; Prof. Marcelo Ang from the National University of Singapore; and will be assisted by Prof. Archan Misra from Singapore Management University.

Responsibilities

• Developing descriptions of current or potential activities and processes based on various sources such as: interviews, field studies, literature reviews, and generative AI systems (such as ChatGPT).
• Making editorial decisions about what content from these sources to include in the knowledge graphs and how to present and organize this knowledge clearly.
• Collaborate with the project team and other researchers to design, implement, and evaluate research projects.
• Perform other duties as needed.

Requirements

- Bachelor’s or Master’s degree.

- Excellent communication and collaboration skills.

-Ability to systematically organize knowledge in structured ways that are logical, comprehensive, understandable, and conceptually elegant.

-Skilled in software development, good writing ability, statistical analysis, and social science methodologies such as experimental design or ethnographic observation.

To apply, please visit our website at: https://portal.smart.mit.edu/careers/career-opportunities

Interested applicants are invited to send in their full CV/resume, cover letter and list of three references (to include reference names and contact information). We regret that only shortlisted candidates will be notified.

A Research Fellow position in enzyme engineering/synthetic biology for CNegSAF project is available at the Campus for Research Excellence and Technological Enterprise (CREATE) in Singapore.

CNegSAF PROJECT

CNegSAF Project: Carbon Negative production of advanced Sustainable Aviation Fuels using twin synthetic bacterial consortia

Hosted by CNRS@CREATE, the program ‘Carbon Negative production of advanced Sustainable Aviation Fuels using twin synthetic bacterial consortia Project’ (CNegSAF) is an international collaboration between world leading institutions in France and Singapore including CNRS, Toulouse Biotechnology Institute (TBI), National University of Singapore, A*Star (SIFBI), and Nanyang Technological University. CNegSAF aims to demonstrate the feasibility of using a synthetic bacterial consortium to convert green hydrogen and concentrated waste CO2 (released by chemicals companies) into sustainable aviation biofuels. This innovative research program has the potential to significantly contribute to Singapore’s and the world net-zero emissions target while supplying sustainable aviation fuels to the aviation industry.

Read more about the CNegSAF project here.

DESCRIPTION

To join this team, we are looking for a candidate who will be in charge of enzyme engineering activities using state-of-the-art evolutionary engineering and computational enzyme design techniques. The candidate will be involved in the development of screening protocols, construction and screening of enzyme libraries, designed by in silico molecular modelling. These enzymes will be further used for the creation of novel metabolic pathways for terpenoid production in engineered bacterial strains.
The perspective researcher will work in a multidisciplinary environment with access to high-throughput screening equipments (both in Singapore and Toulouse, France) and have frequent and strong interactions with other scientists involved in metabolic engineering, pathway engineering and computational enzyme design.

EXPERIENCE & QUALIFICATIONS

• PhD in Molecular Biology, Biochemistry, Biochemical engineering or related field
• Experience with enzyme engineering and enzyme library construction
• Expertise with HT screening, assay design and development and trouble shooting
• Experience in structural biology and molecular modelling/computational enzyme design would be a plus
• Preferred experience with protein production, purification, characterization and crystallization knowledge
• Preferred experience with metabolic engineering/synthetic biology background
• Strong communication with structured reporting and organizational skills
• enjoy working in a team-oriented environment
• Good English skills are required.

FURTHER INFORMATION & CONTACT

Salary range: SGD 6,900 – SGD 10,000 (depending on suitability and experience)

The position is available starting February 2025 and for a duration of up to three years. The position will be mainly based in Singapore with possible visiting stays in Toulouse, France.

Applicants should send as soon as possible CV, summary of previous research and contact addresses of two references to:
Isabelle ANDRÉ (TBI, Toulouse, France): [email protected]
Xixian CHEN (A*-SIFBI, Singapore) : [email protected]
Bo XUE (SynCTI-NUS, Singapore): [email protected]
Thomas Lautier (TBI, Toulouse, France): [email protected]

We are seeking a highly motivated and skilled Bioinformatician to join our team. As a new team working at the intersection of synthetic biology, genomics and machine learning, we seek to develop innovative approaches in advancing the field of bioinformatics and protein structure using large language models. The ideal candidate will have a strong background in computational biology, programming, and a keen interest in protein structure and language models. If you are passionate about unraveling the mysteries of biological systems using computational methods, we encourage you to apply.

Job Responsibilities:

• Develop and implement state-of-the-art algorithms and models for protein structure prediction and analysis.
• Utilize deep learning frameworks such as PyTorch and TensorFlow to design and train novel protein language models.
• Collaborate with interdisciplinary teams to integrate bioinformatics methods into biological research projects.
• Analyze and interpret high-throughput biological data, including next-generation sequencing and structural biology data.
• Contribute to the development of software tools and pipelines for protein structure prediction and analysis.
• Stay updated with the latest advancements in bioinformatics, machine learning, and protein structure prediction methods.

Job Requirements:

• Bachelor/Master's degree in Bioinformatics, Computational Biology, Computer Science, or a related field.
• Strong programming skills in Python and experience with deep learning frameworks such as PyTorch and TensorFlow.
• Proficiency in molecular visualization software, preferably PyMOL, for protein structure analysis.
• Demonstrated interest in protein structure and protein language models, with a focus on applying computational methods to solve biological problems.
• Familiarity with natural language processing and language models is a significant advantage.
• Excellent problem-solving skills and the ability to work independently and collaboratively in a team-oriented environment.
• Effective communication skills and the ability to present complex findings to both technical and non-technical audiences.
• Previous research experience in bioinformatics, computational biology, or related fields is highly desirable.

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.

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

• Catalysts Synthesis
• Single Atom Catalysis
• Laser Scanning Ablation
• Polymer Synthesis
• Biomaterials Synthesis and Degradation
• Recycling and upcycling of polymers
• Mentor PhD students
• Draft grant proposals
• Oversee lab safety

Job Requirements

• PhD degree in chemistry, materials science and engineering, or chemical engineering.
• Ample research experience in catalyst design and synthesis (particularly single atom catalysts and metal oxide catalysts), high entropy nanomaterials
• Ample research experience in polymer synthesis (particularly ATRP, RAFT and ROMP), biomaterials synthesis, and recycling and upcycling of polymers and biomaterials
• Solid background/experience in polymeric materials and polymer recycling and upcycling.
• Excellent communication and writing skills
• Strong publication record
• Prior undergraduate and master students mentoring experience

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 Department of Food Science & Technology at the National University of Singapore (NUS) invites applications for Instructor position.

Roles and responsibilities of the position include:
a) Developing and conducting lab modules for New Product Development and Food Engineering related modules.
b) Conduct some lecture and/or tutorial for the modules.
c) Perform trial runs, time tabling coordinating, TAs allocation, arranging training plans etc.
d) Assessment and report marking.
e) Serving as Instructor for other FST modules (such as running FST1101 tutorials) whenever needed.
f) developing /organizing summer training programme or short lab training courses to public if need arises.
g) Participate in other department activities.

What we can offer: competitive salary that commensurate with experience plus CPF, annual leave & performance bonus.
Contract term: Three years in first instance, renewable.

Qualifications

PhD degree in food science and technology with broad set of hands-on experimental skills related to food chemistry, food processing, food analysis, and cell and molecular biology. Strong interpersonal skills and passionate in teaching.

BSc degree with high distinction and strong teaching experience may apply.

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 Information Systems and Analytics, 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 be responsible for working closely with the Principal Investigator and lab members on one or more research projects. He/she should possess experience or interest in the area of emerging technologies for healthcare.

Key responsibilities:

• Familiarize with the research objectives and methodologies
• Conduct an in-depth literature review to identify gaps and opportunities in related work
• Initiate data collection and preprocessing for large-scale datasets from diverse domains
• Design, implement, and validate advanced models to address core research questions
• Develop initial drafts of research manuscripts based on findings

Qualifications

• A PhD degree in the relevant area (or be on track to acquiring one before starting as a Fellow)
• Have substantial 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

As a Research Assistant in Urban Planning Algorithms, you will be responsible for developing innovative algorithms and formulations to address complex urban planning problems. You will work closely with urban planners, data scientists, and other stakeholders to understand the practical constraints and challenges faced in urban planning. Your role will involve:

• Developing and refining algorithms and mathematical formulations to solve urban planning problems, such as traffic flow optimization, land use allocation, and resource distribution.

• Analyzing and interpreting data from various sources, including geospatial data, demographic information, and transportation networks, to inform algorithm development.

• Collaborating with interdisciplinary teams to ensure that algorithms are practical, scalable, and aligned with the goals of urban planners

• Implementing and testing algorithms using appropriate software tools and programming languages, such as Python or R.
• Documenting your work and presenting findings to stakeholders, including urban planners, policymakers, and the public.

Qualifications

To be successful in this role, you will need to have a strong background in computer science, mathematics, or a related field, with a focus on algorithm development and optimization. Additional qualifications include:

• Proficiency in developing and refining algorithms and mathematical formulations to solve complex problems.
• Strong analytical and problem-solving skills, with the ability to think critically and creatively.
• Proficiency in programming languages such as Python, MATLAB, or R, and experience with software tools for algorithm implementation and testing.
• Strong communication skills, with the ability to explain technical concepts to non-technical stakeholders and present findings effectively.
• A commitment to collaborative work and the ability to work effectively in interdisciplinary teams.
• A Bachelor’s degree in Computer Science, Mathematics, Operations Research, or a related field

Job Description:

Be part of an exciting FAB Team working on cutting-edge advanced packaging process technologies. Partner and work with various teams in IME, to be the lead in FAB inventory management, logistic planning, and its related operations to always enable smooth operations and develop packaging solutions and taking the solutions from concept to production.

This position is based in Singapore.

Responsibilities:

• Looking for a reliable, agile, resourceful, meticulous and professional individual.
• Lead in plan, sourcing and initiate - raise purchase requests accordingly to day-to-day materials / spare parts requirements to ensure stock adequacies, required to ensure smooth Fab operations.
• Follow through the orders from the start of purchase till delivery and to ensure that goods are delivered are on time (include coordination of shipments etc. with forwarders when required etc.)
• Provide good supports on logistics and inventory movements required to enable smooth FAB cleanroom operations.
• Excellent interpersonal skills and communication skills so to work seamlessly with various stakeholders to ensure inventory adequacy and logistics efficiencies.
• Self-starter with strong ability to work with own initiative under minimal supervision.
• Process strong sense of customer service mind-set and teamwork.
• Strong flexibility and ability to handle multiple requests from across teams.
• Good communication, analytical, problem-solving skills.
• Put-up good initiatives to move forward towards systematic inventory digitalization.
• Ability to work in a multi-task environment and perform other duties assigned by Department Managers.

Experience:

• Education: Diploma in engineering discipline. Preferably in procurement, supply chain logistic/ warehouse operation.
• At least 3 years of related semiconductor engineering experiences; with good wide contacts with semiconductor material suppliers, equipment vendors.
• Relevant experience in analytics or strategic reporting will be an advantage.

The successful candidate will be a member of a translational team investigating and designing RNAi therapeutics for various epithelial disorders.

Responsibilities:

• Involvement in projects related to epithelial disorders.
• Perform wet lab experiments using techniques in molecular biology including immunohistochemical analysis, in situ hybridization and microscopy.
• Perform husbandry and genotyping of the laboratory’s mouse colony.
• Provide laboratory maintenance support and procurement activities.

Requirements:

• Bachelor’s degree in Life Sciences/Biomedical Sciences/Biological Sciences or related fields
• Experience in a laboratory environment.
• Willing to work with mouse models; prior experience is a plus.
• Excellent organizational and interpersonal skills and attention to details.
• Excellent oral and written communication skills.
• Highly motivated and passion for research.

As the Research Engineer (Equipment/Operations), you are directly involved in tool installation activities for semiconductor process tools. You would need to work proactively to coordinate with the contractor on the ground for the execution and take corrective and preventive actions of lessons learned, due diligently to prevent reoccurrence. You are responsible for performing utilities turn-on after installation is completed. You must perform the activities per ASTAR site procedure and safety policies to ensure all tool-install-related activities are completed, meeting safety, quality, schedule and budget requirements. You will also be required to perform other activities such as operations for the different semiconductor modules (Diffusion, Litho, Dry/Wet Etch, Thin Film, Implant, etc).

Responsibilities:

• Coordinate with all tool-install base contractors to execute equipment hookup for new tools, to meet the high-quality standards, dynamic schedule, and forecasted budget.
• Coordinate with the Project owner (NGTC/APM) to facilitate utility release as per the planned schedule and update tool release status timely
• Follow all safety and environmental procedures to ensure compliance with EHS-related regulations, risk assessment, safe work procedures, and permit-to-work system.
• Play an active role in safety, actively participating in safety discussions and safe work practices.
• Establish regular area walks to identify opportunities for improved safety, cleanliness, housekeeping and , efficiency
• Establish regular, working interaction with peers as well as vendors in tool installation & facilitation, communicating clearly and respectfully all relevant information.
• Keep the reporting officer informed regarding the progress of assigned work and any abnormalities observed in your area.
• Demonstrate ability to understand drawing and highlighting discrepancies
• Follow area-specific procedures and documentation
• Prioritize work tasks to meet schedule and expectations, minimum guidance
• Perform tool tool-relativities and cleanroom systems troubleshooting during the hookup phase
• To perform equipment trouble-shooting of the equipments in NGTC when the need arises
• To perform utility-on after installation completion and to work closely with LCAM for complete closure
• To perform tests balancing of exhaust for new tools whenever necessary
• To perform measures for tool consumption during the hookup phase and to work closely with LCAM
• Use methods to organize, calculate, and display data accurately for utility and flowrate measurement
• Perform site activities in accordance to the Discipline

Requirements:

• Degree/Diploma in Mechanical/Electrical/Chemical engineering or equivalent
• Semiconductor experience (Equipment & Process)
• Facilities field or Wafer Fab Manufacturing equipment background will be an advantage.
• AutoCAD

The Trustworthy LLM/AI project is looking to hire Research Assistants / Senior Research Assistants. Each researcher will contribute in at least one of the following:

1. Research on automated vulnerability discovery (e.g., via Fuzzing) in IoT (Wireless) networked systems;
2. Research on IoT honeypot and threat intelligence.

Qualification & Experience:

• Bachelor's / Master's degree in Computer Science, Computer Engineering, or related field.
• Demonstrated expertise in software testing and/or software security and/or applied machine learning.
• Track record of strong R&D capability, with publications at leading cybersecurity conferences and/or journals.
• Working knowledge of the C/C++ or Python programming language.
• Working knowledge in binary analysis and code reverse engineering is advantageous.
• Familiarity with 5G and Wireless Networking is advantageous.