Overview*

Alexandra Hospital, a member of the National University Health System (NUHS) cluster, is a historic site providing integrated, holistic care to patients. The hospital is a test bed for innovative care approaches in Singapore and is currently running a diverse portfolio of studies. Alexandra Research Centre for Healthcare In a Virtual Environment (ARCHIVE) is set-up to support the design of innovative experiments in hospital-supported, community-focused, patient-centred virtual care (vCare) models. ARCHIVE’s projects can include research studies, quality improvement projects and clinical trials that incorporate digital technology to ensure the care models are future ready.

The successful candidate will be expected to contribute towards new virtual healthcare projects and manage tasks on the evaluation of existing vCare programs in the areas of telemonitoring, telecollaboration, connected ward ecosystem and virtual care centre.

Job Responsibilities*

You will be responsible for the following:

• Successfully manage projects from start-up to completion.
• Study protocol development
• Develop statistical analysis plans and conduct analyses.
• Oversee study compliance to the ethics requirements and local regulations
• Supervision of quantitative and/or qualitative analysis
• Development of scientific papers and the dissemination of the study findings
• Preparation of proposals for new grants
• Conduct literature reviews, including systematic reviews.
• Mentoring junior staff
• Engage with healthcare professionals and collaborators to support research activities.

Requirements*

• PH.D. in Public Health or Health Services Research
• Proven track record in clinical/public health/health services research, with outstanding management abilities and a demonstrated track record of leadership.
• Minimum 2 years’ relevant experiences
• Strong acumen with in-depth understanding of quantitative and ideally qualitative research methodologies.
• Proficient in use of standard statistical or qualitative software e.g. STATA, SPSS, NVivo.
• Good scientific writing skills as demonstrated by track records of publications in international peer-reviewed journals
• Able to drive research projects from design, implementation to deployment
• Project management capabilities and experience in driving a cohesive research team and cross teaming environment
• Possess confidence to resonate with clinician investigators and research collaborators – internal and external stakeholders
• Ability to multi-task and work under tight timelines
• Good analytical and organization skills
• Excellent communication, problem solving, presentation, negotiation and interpersonal skill

If the role sounds interesting to you, please contact ‘[email protected]’ to understand more on the role. Please indicate the position that you are interested in the subject heading.

*Only Singapore Citizens and Singapore Permanent Residents 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:

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.

Join Our Team at the Asian School of the Environment (ASE), Nanyang Technological University, Singapore

The Asian School of the Environment (ASE) at Nanyang Technological University is a diverse school focusing on the connections between geosciences, ecology, society and Earth systems. Our approach integrates these disciplines to examine big environmental challenges both in Southeast Asia and globally. We conduct cutting-edge research on topics that include ecology, geohazards, climate change, sea-level rise, environmental sustainability, conservation of environment and biodiversity, and interactions between environment and society. ASE is currently looking for a candidate to join them as a Research Assistant.

Key Responsibilities:

• Seeking research assistant to investigate the impacts of various area-based conservation measures (e.g. REDD+ projects and protected areas) on tropical forests around the world
• Contribute to a better understanding of market- and non-market based conservation measures through data collection, analysis, and dissemination of findings
• Role will involve acquisition and processing of spatial data, statistical analyses, report writing and manuscript preparation and provision of administrative support on research-related matters
• Support the development of policy-relevant and multidisciplinary conservation research

Job Requirements:

• Bachelor’s degree in natural science, climate science, geography, data science, engineering, or a related field is mandatory.
• Proficient with the collecting, processing and analysis of geospatial data.
• Prior experience with causal inference approach is preferred
• Competent in statistical analyses and data visualisation tools.
• Skills with coding/scripting using R and/or Python programming languages.
• Strong organisational and problem-solving skills, with meticulous attention to detail.
• Highly self-motivated and independent with the ability to collaborate effectively as part of a multidisciplinary team.

ASE seeks a diverse and inclusive workforce and is committed to equality of opportunity. We welcome applications from all and recruit on the basis of merit, regardless of age, race, gender, religion, marital status, family responsibilities, or disability. Interested applicants should submit a CV and a statement of interests. Evaluation of application starts immediately until the position is filled.

We regret to inform 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.

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.

NTU Institute of Structure Biology (NISB) provides a complete pipeline for Structural Biology to accelerate discovery in basic and applied Bioscience.

At NISB, we aim to integrate a comprehensive set of Structural Biology tools to address fundamental questions in biology, to understand human diseases and to accelerate structure-based drug discovery. We have the expertise and equipment to bring your gene of interest from plasmid to atomic level structure using a series of state-of-the art platforms for Protein expression, biophysical characterization and imaging using cryo-EM, tomography or X-ray crystallography.

For more details, please view https://www.ntu.edu.sg/nisb

We are looking for a Senior Research Fellow to play a leading role in running NISB in close partnership with the NISB Director. This role offers a unique opportunity to drive impactful research while fostering collaboration and innovation in a dynamic scientific environment. The job scope includes:

Key Responsibilities:

• Collaborate with various academic and industry users of NISB facilities to define their needs and to help design and perform the experiments together with the core NISB team;
• Lead the NISB core team to ensure timely delivery of quality samples and deliverables (overexpressed protein, structure with proper protocol and documentation;
• Work with the core team to maintain accurate and comprehensive reporting and documentation for tasks commissioned by academic and industry users;
• Support NISB Director in advocating for NISB’s activities and technological platforms to enhance visitibility and engagement with stakeholders;
• Contribute to in-house research and platform technological development : the successful candidate can pursue independent research in structural biology or biotechnology aligned with the institute’s interest in protein structure and engineering.

Job Requirements:

• A PhD degree in Molecular Biology, Biochemistry, Structural Biology, Biotechnology or related field
• At least 2 years of relevant experiences in similar role / technical hands-on experience in protein related work
• Possesses international experience, acquired through postdoctoral experience documented by relevant publications
• Good written and oral communication skills
• Proficiency in handling software to collect and process Structural Biology data (XDS, CCP4, Phenix for X-ray crystallography and Cryosparc, Relion for Cryo-EM
• Very good publication record in international peer reviewed journals in relevant fields
• Strong ability to work independently, to develop solutions under strict timelines, meticulous and eye for details Excellent organizational and time management skills
• Demonstrates strong collaboration skills by working effectively with diverse academic and industry stakeholders, as well as thriving in a fast-paced environment alongside the NISB core team

We regret to inform 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.

Anesthesia Nurse | AU Nurse | SNB Registered Staff Nurse | Orchard

Working days: Rotating shift Mon - Fri (7-4pm, 9-6pm & 10-7pm), Alternate Saturday (8:30am-1pm)

Salary: $3000-$5000 (depends on Experience)

Location: Orchard

Roles and Responsibilities

• Admission of new patients to OR
• Ensure nursing care and able to relate with patient and relatives
• Manage patient files and records
• Prepare and perform all surgical procedures in a sterile manner, observing all principles of asepsis and sterility
• Prepare and maintain all surgical instruments in an organized and logical manner
• Conduct a full count of instruments and accessories before the start of an operation, after the closure of any major cavity, and the end of the operation
• Handle all sharps and contaminated waste in a safe and effective manner
• Assist with cleaning and transferring of patient to the recovery area
• Prepare and perform all surgical procedures in an appropriate manner, while observing all principles of asepsis and sterility
• Assist with surgical scrub as required
• Prepare the operating room and all equipment for each operation and ensure the functioning of such equipment
• Dispose of all sharps and contaminated waste in a safe and effective manner
• Assist with the cleaning and transferring of patient to the recovery area
• Register and record all instruments and sets received
• Report any anomalies in sets received (e.g. incomplete, broken instruments)
• At all times, ensure that both operating rooms and equipment are maintained in a permanent state of readiness
• Examining patients' histories for allergies or illnesses that would affect anesthesia
• Evaluating and preparing patients, providing education about surgery and recovery, and discussing the side effects of anesthesia with them
• Determining the amount and type of anesthesia needed for the patient and the best way to administer it.
• Preparing and administering the proper dose of anesthesia.
• Monitoring patients' vital signs and their dose of anesthesia during medical procedures.
• Overseeing patients' safety during anesthesia recovery.
• Evaluating patients' progress before, during, and after medical procedures.
• Performing some administrative duties, such as ordering anesthesia, training new staff, and overseeing department finances.
• Any other ad-hoc duties assigned

Requirements

• Candidate must possess Diploma/Degree in Nursing from a recognised institution as approved by Singapore Nursing Board
• SNB registered Nurse
• At least 2 years of experience in healthcare operating theatre settings
• Prior Experience as a scrub nurse would be preferred

The Supreme HR Advisory Pte Ltd | 14C7279

Ong Boon Kiet (Travys) | R22104769

Senior Recruitment Consultant

Job Purpose:

Do you want to make a difference in someone else’s life as a staff nurse? Active Global wants YOU to be part of our family!

Job Description:

• Key person in setting up and upkeep of clinical/medical protocols pertaining to client needs, from onboarding to discharging.
• Assessment for new case referrals and reassessment of existing clients.
• Leading a team of Healthcare Assistants and oversee the nursing care, standards and operations across our day care centres.
• Working closely with other healthcare professionals on planning client ICP, care and safety in the centre.
• Respond to emergencies, conduct investigations on incidents and preventive actions.
• Working with the centre management on ensuring the upkeep of clinical equipment and supplies.
• Assist to plan and take part in the centre’s activities.
• Any other adhoc tasks assigned by the management.

Requirements:

• Minimum Diploma or Bachelor’s Degree in Nursing.
• Must be a Registered Nurse with Singapore Nursing Board with a clean disciplinary record (nurses on conditional license may not apply for this role).
• Proficiency in Microsoft Office and comfortable with IT would be ideal.
• As you will be working as a team, some weekends including public holidays may be required.

Benefits:

• Attractive base salary and incentives for driving results.
• Great opportunity for career development in a growing market and organization.
• Industry-specific training and coaching by a highly experienced team.
• Highly flexible environment to brainstorm and implement ideas on improvements.
• 15 days annual leave.

Working Location:

• Senior Care Centre @ Sengkang, Ghim Moh or Telok Blangah

Working Location: West

Job Details

• Assist in designing and implementing research-related tasks such as data collection from various sources.
• Conduct literature reviews and summarize findings.
• Assist in developing research papers, reports, and presentations.
• Maintain accurate and organized records of research data and findings.
• Attend research-related meetings.
• Collaborate with the research team to achieve project goals.
• Assume additional responsibilities as assigned by the reporting officer/HOD.
• Effectively organises meetings.
• Timely replies to ethics board, administration related requests

Qualification Required and Area of Discipline

• Bachelor’s degree in social sciences/humanities, science, business or marketing.
• At least 1-year relevant experience.
• Good verbal and written communication skills
• Good interpersonal skills

We regret that only shortlisted candidates will be notified.

Interested applicants kindly click on "apply now" and please send in your updated resume to [email protected]

T Stephanie | R1548888

People Profilers Pte Ltd | 10C3804

20 Cecil St, #08-09, PLUS Building, Singapore 049705

http://www.peopleprofilers.com

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

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

We regret that only shortlisted candidates will be notified.

Job Description

We are looking for highly talented and motivated candidates to work on developing new functional materials. Candidate must be able to work in a fast-paced and dynamic environment with researchers across different disciplines. Candidate should have experience in sensing materials or self-healing materials.

Qualifications

PhD degree in Material Sciences, Electrical/Electronics, Applied sciences, basic sciences, technology, mechanical engineering or other relevant fields. Experience with data analytics/AI models a plus.

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 Chemical and Biomolecular Engineering, National University of Singapore, is inviting applications for 1 Research Engineer (RE) position under Associate Professor Sibudjing Kawi’s group. The candidate will work on A*STAR LCERFI research project entitled “Methane Pyrolysis for Hydrogen and Carbon Nanotube Production via Novel Catalytic Membrane Reactor System”.

Qualifications

Master degree in chemistry/chemical engineering in the area of catalysts, inorganic membranes and inorganic membrane reactors for high temperature reactions.

• Proven experience (with good research track record in terms of publications and/or patents) in the field of inorganic hollow fiber membrane synthesis, catalyst synthesis/characterization/testing for hydrocarbon pyrolysis and catalytic membrane reactor design.
• Strong team player skills and the ability to work harmoniously with a diverse workforce.

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.

We are seeking a Research Engineer to join a university-level research centre collaborating with industry. The position is for one year, renewable subject to satisfactory performance. Successful candidates will be involved in a project that is related to generative design.

Key Responsibilities:

• Deploy, optimize, and integrate generative AI models onto edge devices, ensuring efficient performance in real-world applications.
• Develop robust pipelines and frameworks for AI model inference on edge platforms, considering hardware constraints and latency requirements.
• Optimize AI models for power efficiency, memory footprint, and computational speed, utilizing techniques like quantization, pruning, and model distillation.
• Conduct thorough testing, debugging, and performance validation of deployed models under various real-world conditions.
• Work closely with researchers, data scientists, and software engineers to bridge the gap between research prototypes and deployable solutions.

Job Requirements:

• Master’s degree or above in Computer Science, Electrical Engineering, Artificial Intelligence, or a related discipline.
• Bachelor’s degree holders with relevant industry experience are also encouraged to apply.
• Strong background in machine learning and deep learning, particularly in generative AI models.
• Proficiency with relevant programming languages and frameworks such as Go, Python, C++, and CUDA.

Additional Criteria:

• Industrial experience in relevant areas such as AI deployment, edge computing, or R&D is desirable.
• Ability to work independently with limited supervision and collaborate effectively within a multidisciplinary team.
• Strong problem-solving skills and the ability to adapt to hardware constraints and real-world challenges.
• Familiarity with edge computing platforms (e.g., NVIDIA Jetson, ARM Cortex, and mobile chipsets) and related tools.

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

We are seeking a Research Engineer to join a university-level research centre collaborating with industry. The position is for one year, renewable subject to satisfactory performance. Successful candidates will be involved in a project that is related to generative design.

Key Responsibilities:

• Deploy, optimize, and integrate generative AI models onto edge devices, ensuring efficient performance in real-world applications.
• Develop robust pipelines and frameworks for AI model inference on edge platforms, considering hardware constraints and latency requirements.
• Optimize AI models for power efficiency, memory footprint, and computational speed, utilizing techniques like quantization, pruning, and model distillation.
• Conduct thorough testing, debugging, and performance validation of deployed models under various real-world conditions.
• Work closely with researchers, data scientists, and software engineers to bridge the gap between research prototypes and deployable solutions.

Job Requirements:

• Master’s degree or above in Computer Science, Electrical Engineering, Artificial Intelligence, or a related discipline.
• Bachelor’s degree holders with relevant industry experience are also encouraged to apply.
• Strong background in machine learning and deep learning, particularly in generative AI models.
• Proficiency with relevant programming languages and frameworks such as Go, Python, C++, and CUDA.

Additional Criteria:

• Industrial experience in relevant areas such as AI deployment, edge computing, or R&D is desirable.
• Ability to work independently with limited supervision and collaborate effectively within a multidisciplinary team.
• Strong problem-solving skills and the ability to adapt to hardware constraints and real-world challenges.
• Familiarity with edge computing platforms (e.g., NVIDIA Jetson, ARM Cortex, and mobile chipsets) and related tools.

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.
• 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.

NTU Institute of Structure Biology (NISB) provides a complete pipeline for Structural Biology to accelerate discovery in basic and applied Bioscience.

At NISB, we aim to integrate a comprehensive set of Structural Biology tools to address fundamental questions in biology, to understand human diseases and to accelerate structure-based drug discovery. We have the expertise and equipment to bring your gene of interest from plasmid to atomic level structure using a series of state-of-the art platforms for Protein expression, biophysical characterization and imaging using cryo-EM, tomography or X-ray crystallography.

For more details, please view https://www.ntu.edu.sg/nisb

We are looking for a Senior Research Fellow to play a leading role in running NISB in close partnership with the NISB Director. This role offers a unique opportunity to drive impactful research while fostering collaboration and innovation in a dynamic scientific environment. The job scope includes:

Key Responsibilities:

• Collaborate with various academic and industry users of NISB facilities to define their needs and to help design and perform the experiments together with the core NISB team;
• Lead the NISB core team to ensure timely delivery of quality samples and deliverables (overexpressed protein, structure with proper protocol and documentation;
• Work with the core team to maintain accurate and comprehensive reporting and documentation for tasks commissioned by academic and industry users;
• Support NISB Director in advocating for NISB’s activities and technological platforms to enhance visitibility and engagement with stakeholders;
• Contribute to in-house research and platform technological development : the successful candidate can pursue independent research in structural biology or biotechnology aligned with the institute’s interest in protein structure and engineering.

Job Requirements:

• A PhD degree in Molecular Biology, Biochemistry, Structural Biology, Biotechnology or related field
• At least 2 years of relevant experiences in similar role / technical hands-on experience in protein related work
• Possesses international experience, acquired through postdoctoral experience documented by relevant publications
• Good written and oral communication skills
• Proficiency in handling software to collect and process Structural Biology data (XDS, CCP4, Phenix for X-ray crystallography and Cryosparc, Relion for Cryo-EM
• Very good publication record in international peer reviewed journals in relevant fields
• Strong ability to work independently, to develop solutions under strict timelines, meticulous and eye for details Excellent organizational and time management skills
• Demonstrates strong collaboration skills by working effectively with diverse academic and industry stakeholders, as well as thriving in a fast-paced environment alongside the NISB core team

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

Job Title: R&D Engineer - Electrolyte (Battery Material Research Division)

Location: NTU-Durapower Advance Lithium Battery Joint Lab #02-01, 1 Cleantech Loop, Singapore 637141

Overview:

We are seeking dedicated R&D Engineers specializing in electrolyte development to join our dynamic Battery Material Research Division. This role focuses on advancing high silicon-based projects, optimizing electrolytes for high-voltage, high-power, and high-safety applications, particularly in the realm of solid-state battery technology.

Key Responsibilities:

· Electrolyte Formulation: Lead and contribute to the development and optimization of electrolyte formulations tailored for high silicon-based battery projects, emphasizing enhanced performance, safety, and stability.

· Integration of Silicon Anodes: Collaborate within multidisciplinary teams to effectively integrate high-capacity silicon anodes into battery systems, addressing challenges related to volume expansion, cycling stability, and interface engineering.

· Experimental Design and Analysis: Design and execute experiments using coin and pouch cell configurations to evaluate and iterate on electrolyte performance. Analyze data to inform the enhancement of battery characteristics.

· Collaborative Research Initiatives: Work closely with cross-functional teams, including materials scientists, physicists, and mechanical engineers, to drive innovation in battery technology. Contribute actively to the advancement of solid-state battery research.

· Documentation and Reporting: Maintain meticulous records of experimental procedures, results, and analysis. Prepare technical reports and presentations contributing to scientific publications or patents.

Requirements:

· Bachelor's degree or higher in Material Science, Physics, Mechanical Engineering, or related fields.

· Proficiency in electrolyte chemistry and its significance in battery performance.

· Strong grasp of battery materials, with a focus on high silicon-based projects.

· Prior experience or demonstrable skills in experimental design and hands-on work with coin or pouch cell fabrication and testing.

Preferred Skills:

· Prior exposure in Project & R&D laboratory setting

· Experience or exposure to solid-state battery technology and solid electrolytes.

· Familiarity with software tools for data analysis and simulation in battery research.

· Any prior experience in industrial R&D, especially in battery or energy storage-related projects, would be advantageous.

· Knowledge or exposure to characterization techniques (e.g., impedance spectroscopy, SEM, TEM, X-ray techniques) is advantageous but not mandatory.

This role offers an exciting opportunity to contribute to cutting-edge research in battery materials, particularly in harnessing the potential of high silicon-based projects and advancing the development of next-generation solid-state batteries. Join us in shaping the future of energy storage technology!

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

The Research Assistant / Research Engineer will be responsible for working closely with the Principal Investigator and lab members on topics of “Automation of Threat Detection in Security Operation Centers (SOCs)”. He/she should possess experience or interest in the following research areas:

· Security Information and Event Management (SIEM) system

· Large Language Models

Job Requirements

• A Bachelor’s degree with Honours in a relevant area; and
• Good publication record: and
• 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

Job Title: Research Fellow in Spatial Epidemiology

Location: Singapore

The Saw Swee Hock School of Public Health at the National University of Singapore (NUS) seeks a highly motivated and skilled Research Fellow to join an interdisciplinary research project on surveillance for zoonotic and vector-borne diseases in changing environments (SENSOR Project). This project focusing on emerging diseases in Borneo and is conducted in collaboration with an international consortium of universities in Malaysia, Singapore and the UK. This position offers the opportunity to work on ground-breaking research projects in the broad areas of environmental change, infectious disease surveillance, spatial epidemiology, machine learning and global health.

Key responsibilities:

• Conduct high quality research in epidemiology, machine learning and/or meta-analyses to identify impacts of environmental change on infectious disease dynamics and design targeted surveillance approaches;
• Develop and implement statistical methods, computational models and/ or machine learning algorithms to analyse environmental and infectious disease data;
• Collaborate with multidisciplinary teams of researchers, including epidemiologists, biologists, environmental scientists and policy makers;
• Present research findings at national and international conferences and publish results in peer-reviewed scientific journals;
• Support design of field studies in collaboration with international partners;
• Assist in the supervision and mentoring of graduate students and junior researchers; and
• Contribute to grant proposals and progress reports for funding agencies.

Qualifications:

• A PhD in a relevant field such as epidemiology, geography, computer science or a related discipline;
• Strong background in any one of machine learning, infectious disease modelling, epidemiology, quantitative environmental science or ecology, remote sensing or a related field;
• Proficiency in programming languages such as R or Python;
• Experience with machine learning or statistical methods applied to public health and/ or environmental challenges;
• Interest in climate and environmental change and infectious disease dynamics;
• Excellent written and verbal communication skills, including presenting complex concepts to diverse audiences;
• Demonstrated ability to work effectively in a multidisciplinary team and independently; and
• Track record of publications in peer-reviewed journals.

Review of applications will begin immediately and continue until the position is filled. The anticipated start date is February 2025, but this is negotiable. The initial appointment will be for one year, with the possibility of renewal based on performance.

NUS is an equal-opportunity employer committed to diversity and inclusion. We welcome applications from all qualified individuals, regardless of race, color, religion, gender, sexual orientation, age, national origin, or disability.

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 highly motivated and talented Research Fellows to join our dynamic research team. The successful candidate will work on cutting-edge projects in fields of advanced manufacturing, micro-nanofabrications, microfluidics, and soft robotics. The role includes conducting independent research, collaborating across disciplines, and contributing to high-impact publications in reputable international journals. This position provides an excellent opportunity to develop your expertise in innovative technologies while working in a collaborative and multidisciplinary environment.

Qualifications

• A PhD degree in materials, chemistry, chemical engineering, mechanics, biological engineering, or any related fields.
• Strong expertise in advanced manufacturing, micro-nanofabrications, microfluidics, and soft robotics.
• A proven track record of publications in reputable international journals.
• Excellent written and spoken communication skills.
• Strong problem-solving skills, attention to detail, and the ability to work independently.
• A collaborative mindset and the ability to work effectively in a multidisciplinary team.
• Less than 3 years of work experience after obtaining a PhD degree.

NMR Research Fellow position is open in NTU Center of High Field NMR Spectroscopy and Imaging at Nanyang Technological University (NTU), Singapore.

Key Responsibilities:

• Perform day-to-day management of the facility and to provide professional support for the NMR users and collaborators
• Provide technical support
• Carry out trainings in advanced solid-state NMR and solution-state NMR
• Perform instrument maintenance and hardware troubleshooting
• Participate in research projects

Job Requirements:

• PhD from renowned university in the field of biochemistry/biophysics, chemistry, material sciences or related fields.
• Previous experience with solid state NMR is a plus.
• Should have a passion for basic research, NMR development and application, and is expected to participate in research projects.

NTU seeks a diverse and inclusive workforce and is committed to equality of opportunity. We welcome applications from all and recruit on the basis of merit, regardless of age, race, gender, religion, marital status and family responsibilities, or disability.

<For MCF only> Interested applicants are invited to apply directly at our NTU Career Portal.

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

Job Posting: Locum Staff Nurse (Lactation)
Location: Novena
Contract Duration: 3 Months

Assignment Details:
Working Days: 2 to 3 ad-hoc days per week (Monday to Sunday, flexible)
Working Hours: 8:00 AM to 5:30 PM
Salary:

Weekday Rate: $25/hour
Weekend Rate: $27/hour

Nurses with lactation consultation experience.
IBCLC certification or Advanced Diploma in Midwifery is highly preferred.
Nurses with post-natal ward experience.

How to Apply:
Please send your resume to:

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.