Total 1,291 job vacancies by National University Of Singapore

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Job Description

The Coastal Protection and Flood Resilience Institute (CFI) Singapore is actively seeking a Research Engineer to contribute to a groundbreaking research project. This research explores the efficacy of integrated nature-based solutions in sediment erosional control and coastal protection. The goal is to develop innovative, physically based models that quantify the protective benefits a vegetation meadow can offer to shorelines.

The Research Engineer will participate in experimental research, with a specific focus on studying sediment flux in hybrid solutions to coastal protection. He/she will lead and execute flume experiments, data analysis and field sampling as well as specific tasks which includes planning and conducting experiments, running laboratory analyses, collection and analysis of data, and performing basic administrative duties.

He/she will work need to work with Assistant Professor Gary Lei from Civil and Environmental Engineering and Dr. Ow Yan Xiang from the Tropical Marine Science Institute (TMSI) at NUS. Ideally, we are interested in candidates with prior experience with laboratory experiments.

Job Requirements

• Possess a bachelor’s degree in environmental engineering /Environmental Science/ Mechanical Engineering, or a closely-related field.
• Priority will be given to applicants who have prior research experience in coastal engineering, aquatic plants science, eco-hydraulics, and/or environmental fluid mechanics.
• Strong verbal and written communication skills.
• Proficient with Microsoft Suite and R, or other equivalent analytic software.
• 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 Lab Technician position is available in Professor Chng Wee Joo’s research group at the Cancer Science Institute of Singapore. This role will involve processing various types of patient samples, managing the sample inventory, and supporting animal work experiments. The successful candidate will play an essential role in the lab’s ongoing research in haematological malignancies, focusing on understanding the pathogenesis of cancers like multiple myeloma, acute myeloid leukemia, and NK/T-cell lymphoma.

Key Responsibilities:

• Sample Processing:Process a range of patient samples, including bone marrow, peripheral blood, and buccal swabs, with accuracy and adherence to standard operating procedures.
  Prepare samples for downstream analyses such as genomics and proteomics studies to aid research into cancer biomarkers and therapeutic targets.
  
• Inventory Management:Organize and maintain a detailed inventory of patient samples, ensuring proper labeling, storage, and tracking.
  Document and record all sample processing details accurately to contribute to research data integrity.
  
• Animal Work Support:Assist in handling laboratory mice, including breeding, monitoring, and performing procedures such as blood collection and organ harvesting.
  Support researchers in setting up animal experiments that model cancer progression and response to treatments.
  
• Lab Maintenance:Maintain a clean, safe, and organized laboratory environment, following all safety protocols and biosafety guidelines.
  Ensure proper maintenance and calibration of lab equipment to support sample processing and animal work.
  
• Team Collaboration:Work closely with researchers and other lab members, communicating effectively to ensure efficient sample flow and workflow.
  Contribute to team discussions by providing feedback on sample processing methods and laboratory procedures.

Qualifications

• Minimum Diploma in Life Sciences, Biomedical Sciences, or a related field.
• Previous experience in a laboratory setting is preferred, especially with sample processing and/or animal handling.
• Familiarity with laboratory procedures, including sample processing and inventory management.
• Knowledge of laboratory safety protocols and biosafety practices.
• Strong attention to detail and organizational skills to handle high volumes of samples accurately.
• Effective communication skills and a collaborative team approach.

Desirable Attributes:

• Experience working with cancer research samples or models.
• Interest in cancer biology and translational research.
• Ability to adapt in a dynamic research environment and support multiple projects.

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 research fellow in the Department of Biochemistry, Yong Loo Lin School of Medicine. Yu lab has been established since 2021 and the major mission is to develop new therapeutic strategies for atherosclerotic coronary artery disease and metabolic diseases. We use cutting-edge technologies including functional genomics, CRISPR/Cas9-based functional screening, and multi-omics to discover novel therapeutic targets and disease regulating pathways. Appointments will be made on a one-year contract in the first instance, with the possibility of extension – amend as appropriate.

Purpose of the post

We are looking for candidates with extensive experience in cell biology, molecular biology, and mouse models. Preference will be given to candidate with prior in vivo mouse experience or prior experience with metabolism or cardiovascular research.

Qualifications

1. A PhD or equivalent in molecular biology, biochemistry, cell biology, or related field.
2. Extensive experience in molecular biology and mouse work as demonstrated by a first author publication in a relevant scientific journal.
3. Willingness to work with mice.
4. Excellent communication and teamwork skills.
5. The ability to work independently to design and troubleshoot experiments.
6. Positive attitude and strong motivation.

Remuneration will be commensurate with the candidate’s qualifications and experience. Informal enquiries are welcome and should be made to Dr Yu Haojie at bchhaoy@nus.edu.sg.

Formal application: Please submit your application, indicating current/expected salary, supported by a detailed CV (including personal particulars, academic and employment history, complete list of publications/oral presentations and full contacts of three (3) referees to this job portal.

We regret that only shortlisted candidates will be notified.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

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

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

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

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

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

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

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

We regret that only shortlisted candidates will be notified.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

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

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

Major duties and responsibility of the position include but are not limited to:
• Data collection and management
• Data analysis using software such as R, Stata or SAS.
• Preparation of reports, presentations, manuscripts.
• Writing grant proposals
• Provide mentorship to graduate students and research assistants

The candidate must be an independent, highly motivated, and mature worker who is well-organized and demonstrates a growth mindset. Strong written and verbal communication skills are required, along with a record of relevant publications in peer-reviewed journals. He/She must have strong interpersonal skills and the ability to work effectively with colleagues to achieve team goals. Excellent 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 PhD Degree in Epidemiology, Public Health, Environmental Health, Biological Sciences, Biostatistics, Data Science, preferably with relevant experience. Prior experience with machine learning is a plus.

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

We regret that only shortlisted candidates will be notified.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

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

A research associate position is available at the Saw Swee Hock School of Public Health to support a principal investigator in cardiovascular disease epidemiology research projects.

Key Responsibilities:

The research associate will independently analyse proteomic and clinical data, contributing significantly to the understanding of cardiovascular disease. The role involves writing manuscripts focused on heart failure and developing and writing research grant proposals to secure funding for ongoing and future projects. The successful candidate will work closely with diverse experts, including epidemiologists, data scientists, and clinicians, to drive research initiatives in cardiovascular disease, ensuring a collaborative approach to advancing scientific knowledge in this field.

Qualifications:

• Strongly proficient in statistical software (R preferred, Stata, or Python).
• Experience in analysing clinical datasets
• Proficiency in Microsoft Office Applications, particularly MS Word and Excel.
• Strong skills in scientific writing and experience.
• Excellent written and verbal communication skills.
• Ability to work effectively and independently in a team environment.
• Master's degree in Statistics, Public Health with a strong quantitative background, Computer Science, or Mathematics with relevant experience in data science.

Additional Information:

• Recruitment is open immediately and will continue until the position is filled.
• Applicants should send a brief statement of interest, CV, three named references, and other supporting documents during the application process.

If you are passionate about applying data science to advance heart failure research, we invite you to join our team and make a difference.

Recruitment is open immediately and will continue until the position is filled. Applicants should send a brief statement of interest, CV, three named references, and other supporting documents during the application.

We regret that only shortlisted candidates will be notified

• Hiring, training, and coordinating undergraduate research assistants
• Extensive work with data, including organization, cleaning, coding, and analysis
• Manage the participant reimbursements
• Maintain data security and confidentiality
• Provide timely updates of studies to PI
• Working with participants across a range of settings and studies
• Research and administrative duties (e.g., preparation of manuscripts for publication, conference presentations, purchases, grant reports)
• Any other work assigned by the PI

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 Visiting Associate Professor will be responsible to, and work closely with, the Principal Investigator and study team members to ensure the successful completion of the trial on time. Timely input on projects related to design and implementation of interventions focused on learning and school readiness.

Main duties and responsibilities

Oversee the general management of the project;

1. Maintain the highest standard of professional conduct and record keeping in accordance with policies and procedures;
2. Assist with any other duties assigned by the Department.

Qualifications

The applicant should:

• Have a PhD in Education or related disciplines; preferably with experience in research;
• be able to work independently and in a team, have an investigative nature, attention to detail; and
• have knowledge of computer applications, e.g. SPSS, MS office, PowerPoint.

Remuneration will be commensurate with the candidate’s qualifications and experience.

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

Duties & Responsibilities

• Responsible for maintenance and operations of assigned buildings.
• Supervise and manage operations of campus facilities, including attending to work requests, site inspections, meetings, and coordination with stakeholders and contractors.
• Ensure administrative processes in the Facilities Management System are completed promptly.
• Assist in troubleshooting and analysis of building operations matters.
• Support exploration and implementation of projects related to sustainability and digitization of building operations.
• Assist in planning and execution of daily operations as assigned by the Reporting Manager

Qualifications

• Relevant Diploma in Engineering, Facilities Management, Estate Management.

Years of Experience

• 3 years of Facilities Management or related experience preferred

Knowledge / Skills (preferred)

• Attended/ Green Mark Accredited Professional (Facilities Management)
• Attended/ Certified Fire Safety Manager
• Attended/ Certified Project Manager
• Attended/ Certified Workplace Safety Management
• Experience with Building Management Systems / Computerized Maintenance Management Systems
• Competent in MS Office 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

Duties & Responsibilities

• Plan & manage operations of campus facilities, including maintenance schedules, site inspections, meetings, engagement with stakeholders and contractors.
• Lead & develop a team of facilities operations staff.
• Plan & manage operating budget and facilities life-cycle costing.
• Oversee administrative processes in the Facilities Management System to ensure service level is met.
• Lead in facilities renewal projects, including addition & alteration works.
• Manage contracts and procurement of relevant goods & services.
• Analyse operations data, such as utilities, equipment performance & service level, in support of sustainability and operations improvement initiatives.
• Support exploration and implementation of projects related to smart and sustainable building operations.
• Assist in management duties and special projects as assigned by Reporting Manager.

Qualifications

Requirements

Qualification:

• Relevant Bachelor degree in Engineering, Facilities Management, Estate Management.

Years of Experience

• Minimum 15 years of Facilities Management or related experience

Knowledge / Skills (preferred)

• Attended/ Green Mark Accredited Professional (Facilities Management)
• Attended/ Certified Singapore Certified Energy Manager
• Attended/ Certified Fire Safety Manager
• Attended/ Certified Project Manager
• Attended/ Certified Workplace Safety Management
• Experience with Building Management Systems / Computerized Maintenance Management System
• Competent in MS Office 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 Coastal Protection and Flood Resilience Institute (CFI) Singapore at the National University of Singapore is hiring a Research Fellow (RF). The successful candidate will conduct research and technology scan on current and future trends in coastal protection and flood management solutions, including increasing use of AI in computational fluid dynamics, extreme event prediction and condition monitoring. He/she will also conduct research in some of the abovementioned topics and write research proposals to secure grants for CFI.

Job Requirements

• Possess a recognised PhD degree in civil engineering, mechanical engineering, computer science, or a related discipline
• R&D experience in coastal/offshore/structural engineering and/or AI and machine learning.
• Strong writing and communication skills.
• Ability to work independently and in a team .
• 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

Job Summary: The Research Fellow will be responsible for undertaking in-depth research and innovation in machine learning, data science, and artificial intelligence on trusted collaborative machine learning that lead to publications in top-tier international conferences and journals, as well as real-world implementations.

Responsibilities:

• Develop new concepts and algorithms in data science, machine learning, and artificial intelligence for trusted collaborative machine learning;
• Be up-to-date on state-of-the-art methodologies in related technical fields and application domains;
• Develop ideas for application of research outcomes;
• Contribute to knowledge exchange activities with external partners and collaborators;

Requirements

• A PhD in Computer Science, with specialization related to machine learning, data mining, artificial intelligence or databases;
• Proven ability to conduct independent research with a strong and relevant publication record;
• Prior experience in federated learning, Bayesian optimization, or privacy/security research in data sharing would be a plus;
• Experienced in using the latest machine learning, AI, and big data platforms;
• Excellent interpersonal communication and oral presentation 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 Summary

The Haematological Malignancy Genomics Laboratory, led by Professor Chng Wee Joo, focuses on using advanced genomics and proteomics methods to study the clinical and biological complexities of haematological malignancies such as multiple myeloma (MM), acute myeloid leukemia (AML), and NK/T-cell lymphoma (NKTL). This translational research program aims to discover diagnostic markers, identify novel therapeutic targets, and uncover molecular mechanisms of disease, advancing our understanding of cancer pathogenesis and potential treatments.

We are seeking a Research Assistant to support ongoing research in murine models. This role involves assisting in studies on mouse models to validate discoveries in haematological malignancies, with a focus on preclinical validation of novel therapeutic targets, therapeutic resistance mechanisms, and biomarker identification. This is a hands-on laboratory position requiring proficiency in animal handling, genotyping, and familiarity with experimental protocols involving mouse models.

Job Description

• Animal Model Handling:
  Conduct routine handling and care of laboratory mice, ensuring adherence to ethical and welfare standards.
  Support experimental setups in mouse models to study disease pathogenesis, progression, and therapeutic responses in haematologic malignancies.
  Perform injections, tissue sampling, and necropsies as required for experiments.
• Data Collection and Analysis:
  Assist in collecting and processing biological samples (e.g., blood, tissue) from mouse models for downstream molecular analyses.
  Maintain accurate records of experiments, data collection, and sample inventory in a clinical database for integrated bioinformatics analysis.
• Genomic and Proteomic Support:
  Assist in sample preparation for genomics and proteomics studies, including DNA/RNA extraction and preparation for sequencing and protein assays.
  Support preclinical validation of molecular markers and therapeutic targets identified from genomic studies.
• Laboratory Support and Maintenance:
  Ensure lab equipment related to mouse work is well-maintained and calibrated.
  Follow all safety protocols and maintain a clean, organized work environment.
  Assist in the maintenance of a comprehensive tissue bank, ensuring high-quality source material is available for research.
• Collaboration and Reporting:
  Collaborate closely with senior researchers, assisting in the analysis of data from mouse models.
  Report findings and observations to the research team and contribute to discussions on the impact of preclinical findings on clinical applications.

Requirements

• Bachelor’s degree in Biomedical Sciences, Molecular Biology, or a related field.
• Prior experience in laboratory animal handling, preferably with mouse models.
• Experience in haematological research or genomics/proteomics is an advantage.
• Knowledge of standard laboratory procedures for working with mouse models.
• Strong organizational skills, attention to detail, and ability to maintain accurate data records.
• Familiarity with molecular biology techniques such as DNA/RNA extraction, PCR, and Western blotting.
• Effective communication skills and ability to work collaboratively within a research team.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

One postdoc position is available at the Surface and Interface Lab of Prof. CHEN WEI’s group at National University of Singapore. The successful candidate will work with Prof CHEN Wei on Interface Engineering for electrocatalytic CO2RR under a project on CREATE Program: “Development of Advanced Catalysts for Electrochemical Carbon Abatement”.

The project focuses on the interface engineering for electrocatalytic CO2RR. The selected candidate will work together with a team comprising experts in interfacial analysis about electrocatalytic CO2RR reaction mechanism study using home-made interface characterization tools.

Qualifications / Discipline:

• The candidate shall obtain PhD or submit PhD thesis in Chemistry or Materials in a research intensive and renowned University or Research Institute. The candidate shall publish at a few papers on top journals.

Skills:

• Excellent English writing and communication skill,
• Team management skill (help PI to lead a small research team with 1-2 master students),
• Expert in CO2RR-based catalysts synthesis, structural characterizations using TEM/SEM/AFM/XRD/UV-Vis/GC-MS, surface science techniques of XPS/UPS, NAP-XPS, and electrochemical applications (electrocatalytic CO2RR) of these materials.

Experience:

• The candidate shall have extensive experience in CO2RR-based catalysts synthesis, interfacial analysis and electrochemical applications (electrocatalytic CO2RR) of these materials.

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 Research Associate in the Human Potential Translational Research Programme (HPTRP), Yong Loo Lin School of Medicine. The HPTRP aims to bring together researchers from a wide range of disciplines with an interest to maximise human potential. In HPTRP, focusing only on human studies, we aim to adopt a holistic perspective that considers human potential as an integrative measure of health, productivity, performance, human capital and overall well-being over the lifespan, in our environment. Appointments will be made on two-year contract, with the possibility of further extension.

Purpose of the post

We are looking for a highly motivated individual to coordinate data collection and support research operations under the Growing Up in Singapore Towards healthy Outcomes (GUSTO) birth cohort study. The Research Associate will be responsible to, and work closely with, the Principal Investigators and study team members to ensure the successful completion of GUSTO projects on time. The RA’s principal role will be to work in general practices such as data collection, data entry and analysis and drafting of publications and reports.

Main Duties and Responsibilities

The Research Associate will liaise with the relevant personnel to smooth the process of recruitment and data collection and will be accountable to the Principal Investigator(s).

The Research Associate will be expected to:

1. Conduct surveys and interviews with children, adolescents, and parents at KK Children’s and Women’s Hospital
2. Manage the participant reimbursement schedule
3. Maintain data security and confidentiality according to PDPA
4. Draft ethics approval forms in accordance with IRBs
5. Conduct extensive work with data, including organization, cleaning, coding, and analysis
6. Train and supervise undergraduate research assistants
7. Provide timely updates of the study to PI/Project Manager
8. Work flexibly with participants across a range of settings (e.g., hospital, university research lab), and hours (e.g., some weekends and evenings)
9. Additional research and administrative duties (e.g., preparation of manuscripts for publication, conference presentations, purchases, grant reports)
10. Perform literature review, data analysis and drafting of reports and publications

Qualifications

• Bachelor’s or Master’s degree in Psychology, Social Sciences, or related disciplines
• Strong background in developmental research and experimental design
• Good statistical background (e.g. Microsoft Office, SPSS, R)
• Experiences working with parents and children preferred
• Excellent written and oral communication skills

Remuneration will be commensurate with the candidate’s qualifications and experience.

Only shortlisted candidates will be notified.