Total 394 research nurse job vacancies in Education / Training category in Singapore

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

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

We regret that only shortlisted candidates will be notified.

Job Description

We are seeking a highly skilled and motivated researcher for Data Center Digital Twin Research and Development. He/she will assist the PIs in evaluating and advancing digital twin solutions for enhanced system performance. The role involves benchmarking existing technologies, developing and evaluating conceptual models, conducting virtual experiments to optimize operational efficiency, and research and development of advanced features. The project is in collaboration with a data centre operator.

Qualifications

Qualification:

PhD degree in Mechanical Engineering, Mechatronics, Computer Science, or a related field

Experience:

Prior experience digital twin solution, simulation, system design, data center thermal control, is helpful.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

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

Research Associate (NUS eHealth Projects)

At the Telehealth Core we leverage technology & design to accelerate research and improve outcomes in behavioural health & chronic diseases. We focus on delivering tailored interventions in healthcare by building digital tools and harnessing the insights from users and patients.

Are you passionate about exploring the intersection of technology and human behavior? Do you thrive in research environments and enjoy translating complex ideas into impactful publications? If so, we’re looking for a UX Research Associate to join our team and drive innovation in Human-Computer Interaction (HCI).

About the Role
As a UX Research Associate, you will:
• Conduct in-depth research in HCI, with a focus on user experience and usability.
• Author and contribute to academic papers, reports, and other publications.
• Collaborate with interdisciplinary teams to integrate research findings into product development.
• Conduct user studies, analyze data, and provide actionable insights to improve products and services.
• Stay updated on the latest trends and methodologies in HCI and UX design.

What We’re Looking For
• Educational Background: Master’s degree in HCI, UX, Interaction Design, Psychology, or a related field.
• Research Skills: Demonstrated experience in academic or applied research, with strong skills in qualitative and quantitative methods.
• Writing Proficiency: A proven track record of writing research papers, reports, or publications in HCI or related fields.
• Product Development Knowledge: Understanding of the product development lifecycle and the role of UX research in driving innovation.
• Health Sector Advantage: Experience in healthcare-related research or product design is a strong plus.
• Team Collaboration: Ability to work effectively in interdisciplinary teams and communicate complex ideas clearly.

We are a research group and service core that develops eHealth projects. Our mission to create patient-centered technologies for great health and wellness outcomes. We believe innovation and impact are driven by great user experiences. View our projects at https://medicine.nus.edu.sg/nuhscg/core-facilities/telehealth-core/about-us/

Recruitment is open immediately, and will continue until all positions are filled. a. Send your CV, a cover letter highlighting your research experience and interest in HCI, and a sample of your written work (e.g., a research paper or publication) during the application:
a. Cover letter highlighting career goals and relevant experience
b. Curriculum Vitae, containing details of three named referees

Join us in shaping the future of technology and making a difference in people’s lives. We look forward to hearing from you! Please note that only shortlisted candidates will be contacted.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

We are seeking a highly skilled and motivated research engineer for Data Center Digital Twin Research and Development. He/she will assist the PIs in evaluating and advancing digital twin solutions for enhanced system performance. The role involves benchmarking existing technologies, developing and evaluating conceptual models, conducting virtual experiments to optimize operational efficiency, and research and development of advanced features. The project is in collaboration with a data centre operator.

Qualifications

Qualification:

Degree in Mechanical Engineering, Mechatronics, Computer Science, or a related field

Experience:

Prior experience digital twin solution, simulation, system design, data center thermal control, is helpful.

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

1. To assist PI in preparing paperwork with grantors such as proposals, progress reports and contracts.
2. To maintain expense records and project finance accounts.
3. To assist PI in project paperwork such as virement, procurement, reimbursement, etc.
4. To assist PI in writing news articles and help proofread project write-ups from team members.
5. Provide other operational support needed by PI

Qualifications

• Possess a bachelor degree in relevant field
• Candidate must be very meticulous
• Excellent skill in using office software and website tools like excel, PPT, Google Drive.
• Experience in operational job with good record
• 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.

Job Description

A Research Fellow position is available in the research group of Asst Prof Mike Z. Shou, at the Department of Electrical and Computer Engineering, National University of Singapore (NUS).

The Research Fellow will work closely with the Principal Investigator (PI) on one or more research projects about video intelligence.

The successful candidate will contribute to:

• To prepare and meet the project deliveries and milestones.
• Conduct research on video intelligence including model design, implementation, evaluation, system development.
• Paper writing and presentation.

Qualifications

• Possess a PhD degree in electrical engineering, computer science or related fields
• Strong first-author publication records (>=2) in top-tier AI conferences like CVPR, ICCV, ECCV, NeurIPS, AAAI, ICLR, ICML, ACM MM.
• Research experiences on computer vision
• Strong programming skills in using Deep Learning tools like PyTorch and GPU clusters.
• Good written and verbal communications.
• 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.

Job Description

The Research Assistant will participate in seagrass research, with a specific focus on examining seagrass reproduction. A large component of the work is to be conducted in the field. The Research Assistant will lead and execute field sampling, laboratory analysis and some aquaria experimentation. Specific tasks include planning and conducting field work, running laboratory analyses, collection and analysis of data, and performing basic administrative duties.

This position reports to the Principle Investigator at Tropical Marine Science Institute and is based at St John Island National Marine Laboratory on offshore St John Island, Singapore. This position is for 1 year; after first year, renewal is subjected to performance review.

Qualifications

• Bachelor’s Degree in Biological Science, Environmental Science, or related field
• Proficient with basic Microsoft Suite
• Prior experience for marine and intertidal field work and seawater aquarium facilities is highly preferred.
• Must be willing to do intertidal field work, which entails working in muddy environment and working around low tide timings.
• Self-motivated, driven, and a keen interest in research
• Effective oral and written communication skills in English

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 Asst. Prof. Yang Liu on conducting research under a project on “Large Models for Control and Optimization”. The main responsibilities of the position include:

1. Develop AI algorithms for the research project
2. Implement the algorithms with Python and conduct numerical experiments
3. Theoretical analysis
4. Write papers

Qualifications / Discipline:

- Ph.D. degree in Mathematics

Skills:
- Control/optimization theories and algorithms, deep learning, Python

Experience:
- Experience in developing advanced control, optimization and deep learning algorithms are required

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

A research assistant position is available in the Saw Swee Hock School of Public Health to support the Principal Investigators in research projects in the areas of disease outbreaks.

Major duties and responsibility of the position include but are not limited to:

• Data collection and management
• Literature review
• Data analysis using software such as R
• Research coordination
• Preparation of reports, presentations, manuscripts.

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

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

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

Recruitment is open immediately and will continue until the position(s) is filled. Applicants should send a brief statement of interest, CV, references and other relevant supporting information in their application. They may contact [email protected] (PI: Borame L Dickens) for further information.

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

The successful candidate will work with PI Ben Wainwright in the department of biological sciences at NUS.

Using samples from multiple marine species that have been collected along an approximate 6000km east to west transect from Sumatra to Papua New Guinea, the candidate will work on a project that seeks to explain why the marine ecosystems of the Coral Triangle are so biologically diverse, what facilitates and what restricts gene flow in the region, and finally, how can this information be used to advance marine conservation planning in Southeast Asia.

The main responsibilities of the position include, but are not limited to:

• DNA extraction, PCR, High-throughput DNA sequencing library preparation (Illumina, PacBio, ONT) and the associated techniques.
• Ensuring and maintaining smooth operation of the laboratory (ordering stocks, maintaining training records etc.)
• Assist in various administrative duties as part of project management.
• Analyze data and be involved in the production of peer reviewed articles.

The lab has numerous unique marine datasets/samples that candidate is welcome and encouraged to work on and pursue individual research interests.

Qualifications

BSc in Biology, Environmental Studies, Ecology and Evolution or related discipline. The candidate should have an interest in Marine Science and the conservation of marine ecosystems.

Skills:

• Familiar with molecular techniques (e.g., PCR, gel electrophoresis, DNA extraction, DNA Sequencing etc.).
• Familiarity/proficiency with data analysis in the R environment, ideally using population genetic tools such as APE, STACKS, adegenet etc. and the analysis of microbial amplicon data sets.
• Independent and self-motivated, and organised with attention to detail.
• Proficiency in English, both spoken and written, that are essential for communication of findings in scientific and other media.

Experience:

• Working knowledge of molecular labs and how they function.
• Analyzing evolutionary data (e.g., SNPs), and/or microbial amplicon data in packages such as DADA2 or QIIME2 etc.
• Proficiency with R.

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 Frank Stephan, Prof Yang Yue and Prof Sanjay Jain on Mathematical Logic and Theoretical Computer Science under a project on connections between Automata Theory, Computa-tional Complexity and Recursion Theory.

The main responsibilities of the position include:
- Working with the PIs and other RFs on research topics in Mathematics. The topics are on automata theory, complexity theory and recursion theory.
- Writing, publishing and presenting papers (research findings) in journals and conferences.

Qualifications / Discipline:

- PhD in Pure Mathematics or Theoretical Computer Science.

Skills:
- Knowledge of Mathematical Logic, in particular at least one of Recursion Theory, Computational Complexity and Automata Theory.

Experience:
- Research experience on university level expected, either by prior employment or by work on a PhD thesis or published papers.

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. Somin Park on next-generation optoelectronics under a project on start-up grant.

Our group is looking for candidates with a background in material synthesis (organic synthesis, polymer chemistry), photoelectron spectroscopy, photophysical characterization, or practical experience in optoelectronic applications. The ideal candidate will have the opportunity to develop and lead their own research projects while collaborating with interdisciplinary teams worldwide and providing mentorship to fellow team members.

The main responsibilities of the position include:
• Design and optimize materials for various optoelectronic applications
• Conduct electrical photophysical characterizations
• Mentor and supervise graduate students and research assistants working on related projects

Qualifications:

- A PhD in Chemistry, Physics, Materials Science and Engineering, Chemical Engineering, or related fields
- Strong publication record in peer-reviewed journals

Skills:
- Material design, characterizations
- Good communication skills, both written and verbal in English

Experience:
- Material synthesis, advanced characterizations, and practical experience in optoelectronic applications

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 Assoc Prof Lu Jiong on scanning tunneling microscopy under a project on "Atomic engineering of zigzag-edged graphene nanoribbons towards next-generation spintronics".

The main responsibilities of the position include:

1) Atomic-scale material design
2) Quantum nanoscience

Qualifications / Discipline:

- PhD in Chemistry or Physics

Skills:
- Scanning tunnelling microscopy

Experience:
- Atomic-scale characterization

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 Dr QIU Yunyan on polymeric materials design and synthesis under a project on "Constructing precise mechanically interlocked polymers for highly dynamic and functional materials".

The main responsibilities of the position include:
- Developing new catalytic systems for controlled synthesis of mechanically interlocked polymers and frameworks;
- Identifying suitable monomers for controlled polymerization reactions;
- The synthesis and characterizations of functional polymers with control over their molecular weights and dispersities.

Qualifications / Discipline:

- Doctoral degree in Polymer Chemistry or Organic Chemistry

Skills:
- The design and controlled synthesis of polymeric materials
- Metal catalysed polymerization reactions
- Polymer characterizations
- Device fabrication

Experience:
- Extensive experiences in the design and precision synthesis of polymers and their structural characterizations

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.

About

The Department of Geography, NUS, is now firmly established as Asia’s leading Department of Geography, consistently ranked among the top geography departments globally, and part of NUS’s College of Humanities and Sciences. This reputation is in part built upon research excellence in three key areas: tropical environmental change, social and cultural geographies, and political and economic geography. We currently host around 40 faculty and more than 70 research students and staff (https://www.fas.nus.edu.sg/geog/).

We are looking for a Research Assistant or Research Associate to help to take our department’s research to the next level. The position of Research Assistant or Associate will be offered based on the qualifications and experience of the candidate.

Job Description

The key responsibilities for the Research Assistant / Associate will include but are not limited to:

• Work with various Principal Investigators and Research Groups in the Department to document research achievements and produce research reports
• Conceptualisation and execution of research related content that will communicate the Department’s achievements on various communications and media platforms, including but not limited to Instagram and LinkedIn
• Day-to-day management of the Department’s media and communications platforms
• Work with internal and external stakeholders to conceptualise and organise research related events and programmes

Qualifications

• Bachelor or Master’s degree in the social sciences. A background in media, marketing and/ or communications is advantageous
• Prior experience in research writing, communication and dissemination
• Proven ability in digital communications and marketing, including social media engagement
• Self-driven, highly motivated, collaborative, and able to work unsupervised and as part of a team
• Willingness to acquire new skills

Interested applicants are invited to submit a two-page CV, a media portfolio (if available), names and contact details of two referees, and a one-page cover letter explaining the candidate's past experience and aptitude in relation to the advertised role through the NUS Career Portal by 14 February 2025.

Further enquiries can be directed to Dr Shaun Teo ([email protected]).

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

Work on hands-on experiments for few of the following tasks:

1. Design, Simulation, and Fabrication of Piezoelectric MEMS such as FBAR, SAW, MEMS resonators, MEMS microphones, and MEMS microspeakers
2. Fabrication of integrated sensors based on CMOS compatible process
3. Fabrication of nanosensors using e-beam lithography
4. Design and testing of MEMS devices for biomedical related applications and environment monitoring related applications
5. Design, modelling and testing of neuromorphic computing devices using MEMS and/or resistive elements
6. Write 2 or more research papers based on derived data of the above devices in the first year in the top-notch journals
7. Write research grant proposals
8. Supporting and guiding the experiments of FYP students and MSc students

Qualifications

1. PhD Degree in Electrical Engineering
   
2. Have learned Machine Learning related courses for one semester at post-graduate level and earned score of A- or better
3. Strong background in hands-on microfabrication techniques at clean room and with journal publications showing such evidences
4. With 3 years and more experience in making and testing Piezoelectric MEMS devices
5. With 2 year and more working experience in MEMS, Resonators design and Robotics applications
6. Strong knowledge in L-Edit; Lumerical; CST; COMSOL; ANSYS
7. Having more than three 1st-authored international peer-reviewed journal papers (for RF)
8. 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.

Job Description

The successful candidate will work with Dr Gloryn Chia on developing cancer vaccines.

We are seeking a highly motivated Research Fellow with expertise in Bioinformatics to join our team. The successful candidate will work closely with clinicians and scientists to develop and implement bioinformatics pipelines for identifying and validating cancer vaccine candidates, with the goal of translating research findings into clinical applications.

Responsibilities will include analyzing bulk and single-cell RNA sequencing data to uncover immune interactions within the tumor microenvironment (TME). Additionally, candidates will explore 3D protein structures to investigate protein-protein interactions and delve into the fundamental mechanisms underlying gene function. This will involve studying gene regulation, expression dynamics, and their impact on cellular pathways to uncover critical insights into disease biology and therapeutic targets.

The main responsibilities of the position include:
Bioinformatics analysis

Qualifications

• Qualifications / Discipline: Bachelor of Science or PhD in Bioinformatics

• Skills: R and/or Python

• Experience: Research or bioinformatics 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 National University of Singapore – which is the top ranked university in Asia – is recruiting a full-time Senior Research Fellow (Biostatistician) for the Saw Swee Hock School of Public Health (SSHSPH). The position will specifically work in the Biostatistics and Modelling Domain (BSMD) of SSHSPH. Researchers with existing research activities applying statistical methods in cancer, epidemiological studies, health promotion, physical activity, nutrition and primary care are particularly encouraged to apply.

Responsibilities include:

• establishing an independent research programme;
• providing statistical support for collaborative, multidisciplinary research;
• course design and teaching; and
• graduate student advising.

Qualifications

1. A recognized Doctoral degree in a relevant discipline with a strong post-doctoral research record;
2. Track record of publishing in international peer-reviewed journals;
3. Ability to generate and maintain an independent stream of funding;
4. Ability to teach public health courses at both undergraduate and graduate levels;
5. Ability to work in multidisciplinary teams;
6. Ability to work with culturally diverse populations.

Additional requirements to be appointed to the tenure track:
1. Track record of publishing in high-impact international peer-reviewed journals;
2. Experience in leading independent research studies;
3. Ability to develop an internationally renowned research programme.

Job Description

The Cardiovascular and Metabolic Disorders (CVMD) Programme houses state-of-the-art technologies for profiling mitochondrial function and metabolic adaptations in human patients and other model organisms, and undertakes translational and clinical research in cardiovascular and metabolic disorders.

Dr Wang Yibin’s laboratory has a long-standing research interest in the fundamental mechanisms of cardiovascular and metabolic regulations in physiology and diseases. The laboratory employs state-of-the-art genomic and metabolomic approaches, aiming to identify novel players and mechanisms in transcription and post-transcription regulation, stress-signaling pathways as well as novel therapeutic targets relevant to cardiometabolic disorders. Dr Wang’s laboratory has an outstanding track-record of mentoring and supporting scientific career for students and fellows.

The selected candidate will perform a variety of research activities under the supervision of the Principal Investigator or his/her designate, including but not limited to the following: -

• Independently carry out the design and execution of experimental research required by the research component of the project.
• Write and review research papers, present research outcomes, conceptualise new ideas and develop plans for independent research which could have a considerable influence and impact on the relevant field attracting research funding.
• Provide support for external grant/protocol development, study design and management of research activities.
• Contribute to occasional educational / instructional activities and project management.
• Provide guidance and mentorship to undergraduate / medical students and research assistants.
• Maintain optimal experiment progress in the laboratory or in the research work undertaken.
• Perform other related duties incidental to the work described therein.

Job Requirements

• PhD in Life Sciences or Biomedical Science and/or post-graduate Medical Degree with at least 3 years of relevant research experience. Training in Genomics and Metabolomics would be desired.
• Demonstrated very good knowledge, skills and expertise in R-package with potential to achieve research excellence.
• Proven track record in the form of high impact publications.
• Strong writing and critical thinking skills, as well as good communication and presentation skills.
• A team player who is able to prioritise, multi-task and work collaboratively in a diverse workforce.

We regret that only shortlisted candidates will be notified.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

We are seeking Postdoctoral Fellows to join our research team to work with PI and co-PIs in the Department of Civil and Environmental Engineering and the Department of Architecture. The primary focus of this position is on developing destination choice models for future land use and transport systems using data-driven approaches.

Key responsibilities include:
• Collecting and analyzing relevant data.
• Designing tour-based destination choice models.
• Facilitating developed models into existing tour-based transport framework.
• Leading funded research projects, supervising research students, and preparing research proposals and reports.

This Postdoctoral researcher position is funded in the areas of urban and transport planning. Candidates should demonstrate strong expertise in discrete choice modeling, statistical modeling, and machine learning methods.

Job Requirements

• Possess a PHD degree in related discipline such as transportation engineering, operations research, computer engineering/science, or related disciplines.
• Strong knowledge and expertise in discrete choice modelling, statistical modeling, traffic simulation, machine learning, and optimization techniques.
• Proficiency in transport planning software such as EMME or PTV Visum.
• Programming expertise in at least one language, e.g., Python, Java, or C++.
• Strong written and oral communication skills.
• 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.

Job Description

We are seeking Postdoctoral Fellows to join our research team to work with PI and co-PIs in the Department of Civil and Environmental Engineering and the Department of Architecture. The primary focus of this position is on developing destination choice models for future land use and transport systems using data-driven approaches.

Key responsibilities include:
• Collecting and analyzing relevant data.
• Designing tour-based destination choice models.
• Facilitating developed models into existing tour-based transport framework.
• Leading funded research projects, supervising research students, and preparing research proposals and reports.

This Postdoctoral researcher position is funded in the areas of urban and transport planning. Candidates should demonstrate strong expertise in discrete choice modeling, statistical modeling, and machine learning methods.

Job Requirements

• Possess a PHD degree in related discipline such as transportation engineering, operations research, computer engineering/science, or related disciplines.
• Strong knowledge and expertise in discrete choice modelling, statistical modeling, traffic simulation, machine learning, and optimization techniques.
• Proficiency in transport planning software such as EMME or PTV Visum.
• Programming expertise in at least one language, e.g., Python, Java, or C++.
• Strong written and oral communication skills.
• Open to fixed-term contract

The Centre for Ageing Research and Education (CARE) is an academic research centre in Duke-NUS Medical School, Singapore. Drawing on its multidisciplinary expertise and collaborations across medical, social, psychological, economic, and environmental perspectives, CARE’s research is situated in eight broad thematic areas: Population Health, Social and Psychological Aspects of Ageing, Family Caregiving, Productive Ageing, Falls Prevention, Community-Based Health and Social Care Services, Ageing and the Environment, and Health Communication.

CARE actively engages with government and community partners to identify research gaps and inform implementation strategies to enhance the experience of ageing in Singapore. CARE is a vibrant centre with individuals from diverse academic and personal backgrounds, and values the energy, passion, and thought leadership of promising scholars who desire to achieve health, social inclusion, and a high quality of life for older adults, and their caregivers, in Singapore.

CARE’s quantitative research on ageing in Singapore is based on individual-level data collected through both cross-sectional and longitudinal community-based surveys of older adults and/or their caregivers. CARE is seeking to appoint a post-doctoral researcher to join the team as a Research Fellow, for conducting quantitative research and its publication and dissemination. A Senior Research Fellow position will be offered to candidates who demonstrate substantial relevant work experience and advanced skills in the field.

• Conceptualize and conduct quantitative analyses of individual-level survey data
• Draft and submit at least 4 papers per year in high-impact scientific journals, as lead author or co-author
• Write and edit policy/research briefs (at least 1 per year)
• Present and disseminate findings at international and national conferences, stakeholder meetings, and in public media outlets
• Develop and conduct workshops in quantitative research methods (at least 1 per year)
• Supervise and support the conduct of cross-sectional and longitudinal surveys
• Lead or assist in the writing and submission of competitive grant applications
• Assist with CARE’s other initiatives where required

Job Requirements:

• PhD in Gerontology, Sociology, Demography, Epidemiology, Economics, Public Policy, Public Health, or related fields
• Possess strong quantitative analysis skills and relevant experience in data preparation and analysis
• Familiarity with concepts relevant for geriatrics and gerontology research
• Proficient in Stata or R
• Have excellent written and spoken communication skills
• Motivated, detail-oriented, and able to work with others in a multidisciplinary setting

Interested applicants should fill up the online application on the Duke-NUS website. Please attach:

1. Cover letter stating your interest in the position
2. CV
3. Writing sample (single- or first-authored academic manuscript, published or unpublished)
4. Names and contact information of three referees.

Applications will be considered on a rolling basis. Only short-listed applicants 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

A Research Fellow position is available in the research group of Professor Ho Ghim Wei at the Department of Electrical and Computer Engineering, National University of Singapore (NUS).
The successful candidate will be expected to:

• Develop sustainable electronic materials and components, emphasizing eco-friendly processes and materials.
• Investigate and optimize the electrical, mechanical, thermal, biochemical properties of hydrogels.
• Collaborate with interdisciplinary teams, including materials scientists, biochemical scientists, and electronic engineers.
• Publish journal papers and meet grant deliverables.
• Perform routine laboratory duties.
• Assist with other tasks and responsibilities as assigned by their immediate supervisor.

Qualifications

• Possess a PhD Degree in advanced functional materials and devices for flexible electronics.
• Hands-on experience with material synthesis, advanced characterization tools, and laboratory instruments.
• A track record of publishing in high-impact journals related to materials science, electronic engineering, or related fields.
• Self-motivated, detail-oriented, and capable of working independently.
• Demonstrated ability to work effectively in multidisciplinary teams

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.

We are seeking for a research engineer to join our research team to work with PIs and co- PIs in the Department of Civil and Environmental Engineering and the Department of Architecture. This position's primary focus is developing tour-based destination choice models for Singapore’s future land use and transport systems using data-driven approaches.

Key responsibilities include:

• Collecting and analyzing relevant data;
• Designing tour-based destination choice models;
• Integrating developed models into Singapore’s existing tour-based transport framework;
• Working on research projects, supervising research students, and preparing research proposals and reports.

Job Requirements

• Possess a Bachelor and or MEng/MSc degree in a related discipline (transportation engineering, operations research, computer engineering/science, or related disciplines).
• Masters graduates without experience are welcome to apply.
• Candidates should demonstrate a strong expertise in discrete choice modeling, statistical modeling, and machine learning methods.
• Strong interest and expertise in discrete choice modelling, statistical modeling, traffic simulation, machine learning, and optimization techniques.
• Proficiency in transport planning software such as EMME or PTV Visum.
• Programming expertise in at least one language, e.g., Python, Java, or C++.
• Strong written and oral communication skills.
• 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.

Job Description

The laboratory of Presidential Young Professor (PYP) Liu Yuxin in the Biomedical Engineering Department at National University of Singapore seeks a Research Fellow (PDF) with strong enthusiasm and interest in neurotechnology, organoid intelligence, brain-machine-interface research.
The successful candidate is required to work on a groundbreaking project aimed at developing and testing advanced neural probes that overcome the limitations of current technologies. This position offers a unique opportunity to be at the forefront of neural engineering, with a focus on dual-modality neural monitoring and developing organoid intelligence as a biological computer. He / she is required to perform the followings:

Key Responsibilities:

• Design, fabricate, and optimize neural probes using state-of-the-art materials and techniques.
• Conduct in vivo experiments to validate the performance of the developed probes in recording electrophysiological and/or neurochemical signals.
• Develop neural interface for biological computing using 3D cultures of human brain organoid
• Collaborate with a team of neuroscientists, engineers, and other researchers to advance the project goals.

More information on is available at https://www.lab-liu.com/ and https://cde.nus.edu.sg/bme/staff/dr-liu-yuxin/

Qualifications

• Educational Background: Possess a PhD in Neural Engineering, Biomedical Engineering, Flexible Electronics, Electrical Engineering, Computer Science and Engineering, Material Science and Engineering, or related fields.
• Research Interests: Demonstrate a strong interest in neural engineering, flexible electronics, and brain-machine interfaces. Exhibit scientific curiosity and motivation to conduct scientifically rigorous experimental work.
• Technical Experience:Prior experience in single-unit recording is essential.
  Experience with cell culture, particularly in culturing neuron cells, is highly advantageous.
  Previous experience in microfabrication for neural probes is highly advantageous.
  Experience in fast-scan cyclic voltammetry (FSCV) for neurochemical recording is highly advantageous.
• Research Excellence: Exhibit excellence in conducting independent research with strong critical thinking and experimental design skills. Show enthusiasm for working in a multidisciplinary team and leading a multidisciplinary project.
• Technical Knowledge: Demonstrate a robust technical understanding of bioelectronics, neural engineering, and flexible electronics.
• Communication Skills: Possess strong written and spoken communication skills.
• Open to fixed term contract

Please include the following in your application:

1. A detailed CV.
2. A 5-slide presentation summarizing your previous research accomplishments.
3. Contact information for four referees.

Join us in advancing the frontier of neurotechnology!

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

• Conduct research on quantum algorithms, including their design, analysis, and implementation – for Quantum application
• Explore algorithms for applications in fields such as optimization, machine learning, chemistry and biology simulation, finance and cryptography.
• Develop and optimize hybrid quantum-classical algorithms for near-term quantum devices.
• Collaborate with software engineers to implement and test quantum algorithms on hardware platforms (e.g., gate-model quantum computers or quantum annealers).
• Collaborate with industry partners for research and development of Quantum computing applications.
• Publish research findings in high-impact journals and present results at leading conferences.

Qualifications

• Candidate must hold a PhD in numerical quantum physics or similar.
• The candidate must have a strong background in numerical computations, with expertise in exact diagonalization and/or tensor networks. Competences in neural networks will also be considered.
• Familiarity with QIBO is desirable.