The Genome Research Informatics and Data Science Platform is looking for a full Stack Software Developer to design, build and operate software systems in support of Institute and hosted programs. Your primary responsibilities include FE and BE Software Development and to ensure compliance with standards and policies (A*STAR, ISO etc)

Requirements

• Bachelor/Master Degree in IT/Computer Science
• Experience in scientific software development and full stack software DevOps
• Possess skills in Javascript for FE and BE, Java and Python
• Knowledge in Containerization and Serverless on Cloud (e.g. AWS Lambda) would be advantageous

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The Mechanobiology Institute (MBI) at the National University of Singapore (NUS) is a leading multi-disciplinary institute devoted to developing new paradigms for understanding biological functions in health and diseases from the perspective of cell, tissue and organ mechanics/dynamics and mechano-signal transduction. The institute operates on a fully integrated open-lab philosophy, with an extensive infrastructure supported by core facilities dedicated to technology such as state-of-the-art light microscopy, nano- and micro- fabrication, and computing.

We are seeking a highly motivated Research Associate to join the Kanchanawong Lab's project studying the interplay between cell adhesion proteins and cell division. Using advanced microscopy and molecular manipulation techniques, this role offers an opportunity to contribute to cutting-edge research within an interdisciplinary team.

Key Responsibilities

• Perform and design experiments related to cell adhesion proteins and cell division
• Utilize advanced microscopy techniques to analyze biological processes
• Assist in laboratory management, including inventory, ordering, and general lab upkeep
• Collaborate closely with team members across disciplines to achieve research goals
• Contribute to manuscript preparation and publications

Required Qualifications

• A Master’s degree in Biology, Molecular Biology, or a related field
• Proven research experience demonstrated by publications in relevant areas
• Proficiency in molecular and cell biology techniques such as molecular cloning, cell culture, and bioinformatic analysis
• Prior experience with laboratory management is highly desirable

Preferred Skills

• Excellent organizational abilities and attention to detail
• Strong communication and teamwork skills
• Demonstrated ability to work independently and as part of a collaborative research team

Salary and benefits are commensurable to the educational qualifications and working experience of the candidate.

Interested applicants should include their curriculum vitae and references in their online application. 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

Most of the world now live in cities. Liveable, sustainable and resilient cities are needed to face the looming challenges of climate change, the next pandemics, ageing populations and technological, social and economic disruptions such as what we are currently experiencing.

NUS Cities is a multi-disciplinary, open and inclusive collaborating platform comprising the following three pillars: education, research and advisory.

Education: Educate the next generation of students as well as current practitioners to take an urban systems approach to plan, govern, build and manage cities, using a strong case-based approach taught by both practitioners and academics.

Research: Taking a systems approach tacking some of our biggest urban challenges, and in the process, gradually developing a Science of Cities.

Advisory: Provide strategic advisory services to organisations and cities. NUS Cities will also partner other universities and research institutions locally and internationally, as well as with industry partners worldwide.

NUS Cities hence draws on the varied talent and expertise of the University in its colleges, faculties and departments and centres of excellence to drive research to better plan, manage, and govern, high-density, high-growth, sustainable, resilient, and liveable cities through an urban systems approach and systems thinking.

The full-time appointment for this Research Fellow position is for a contract period of 1 to 2 years with the possibility of renewal.

Responsibilities 

• Establish and manage large databases.
• Interpret and analyse data
• Generate reports and presentation of data to relevant stakeholders
• Generate conference presentations and papers for submission to peer reviewed journals
• Collaborate across teams, contributing to multiple research projects at once
• Work closely with research PIs to develop new research ideas and ensure the successful and timely completion of the project(s)

Qualifications

• Doctorate degree
• Candidates interested in Cities and keen to delve into any of the below research modules are strongly encouraged to apply:
  1. Climate Resilience
  2. Ageing and Health
  3. Transportation and Land Use
  4. Urban Observatory
• At least three recent and relevant good journal papers on any of the below modules:
  1. Climate Resilience
  2. Ageing and Health
  3. Transportation and Land Use
  4. Urban Observatory
• Proficient in data analysis and visualisation tools in quantitative research or any relevant software and tools
• Keen interest in Cities
• Strong background with extensive experience leading research projects would be an advantage
• Excellent written and verbal communication skills
• Resourceful and self-driven
• Adaptable and able to multitask well with clear follow-through
• Demonstrated ability to work independently and thrive in a fast-paced environment
• Commitment to the ongoing development of a positive organisational culture
• Willingness to contribute to a learning environment

The role is based in Singapore.

About Us:

At BioDefense, we aim to enhance the quality and safety of perishable foods with our cutting edge microbial safety solutions. We are looking for a passionate and motivated research intern to join our team. If you're eager to kickstart your career in a dynamic laboratory environment, we want to hear from you!

Job Summary:

As a research Intern, you will play a crucial role in the manufacturing and quality control processes of our product . You will assist in the preparation, testing, packaging and ensuring that our products meet the highest standards of quality and safety. This position is perfect for someone looking to gain hands-on experience in a laboratory setting while contributing to cutting-edge food preservation solutions.

Key Responsibilities:

- Assist in the preparation of our product according to established protocols.

- Conduct routine tests and analyses on raw materials and finished products to ensure quality standards are met.

- Maintain accurate records of production activities, including batch logs, test results, and inventory levels.

- Support the cleaning and maintenance of laboratory equipment and workspaces to ensure a safe and organized environment.

- Collaborate with senior lab staff to troubleshoot and resolve production issues as they arise.

- Follow all safety guidelines and standard operating procedures (SOPs) in the laboratory.

- Participate in team meetings and contribute to continuous improvement initiatives in the production process.

Qualifications:

- Pursuing a diploma/degree in Food Science, Biology, Chemistry, or a related field (or relevant coursework).

- Previous laboratory experience (internships, coursework, or volunteer work) is a plus but not required.

- Must be a Singapore Citizen/ PR.

- Strong attention to detail and ability to follow protocols precisely.

- Good communication and teamwork skills.

- Willingness to learn and adapt to new techniques and procedures.

- Basic computer skills for data entry and record-keeping.

How to Apply:

If you are excited about starting your career in laboratory production and making a difference in food safety, please submit your resume and interest in the position to [email protected].

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

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

We regret that only shortlisted candidates will be notified.

Job Description

Tropical Marine Science Institute (TMSI) of National University of Singapore (NUS) has an immediate vacancy in the area of regional sea level variability in the warming climate.

The ongoing Project “Understanding the low-frequency variability of coastal sea level in Southeast Asia using a regional ocean model and observations” has been funded by National Research Foundation until 31 July 2025. The successful candidate will be working with a multidisciplinary team of atmosphere and ocean scientists, and particularly be responsible for:

-running NEMO ocean model using past and projected forces provided by the atmospheric team;

-use data analysis and model simulations experiments to understand the mechanism of regional sea level variability driven by large scale atmosphere/oceanic processes.

Depending on qualifications and experience, successful Candidate could be employed at Research Fellow or Senior Research Fellow level.

Qualifications

Successful candidate will be having the following demonstrated knowledge, skills and experience:

• Understanding of regional sea level variability and large-scale atmosphere/ocean coupling;
• Understanding of mechanisms of ocean response to the climate change;
• Capability to set and run regional sensitivity experiments using NEMO ocean model;
• Capability to use data analysis methods for ocean dynamics research;
• Ability to work in multidisciplinary team of researchers, including ocean and atmosphere scientists;
• PhD in ocean sciences from a recognised University
• Track records in publications.

Day/Night Shift Security Officer

2. 6 days' work on 12 hours shift

3. Supervise day/night security operations

4. Possess valid PLRD Licences

5. Able to speak & write Basic English

6. Preferably with relevant experience in dormitory field

7. Minimum with Secondary 2 Education

8. Walk-In Interview : 9 am -12 pm & 3 pm to 5 pm - Pls see Mr Sayyid

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 Medicine, Yong Loo Lin School of Medicine. The Department of Medicine will be working with the National University Health System Transformation Office to develop innovative care models and related research. The objective is to improve health for patients and residents both within the health system and in the community. By testing and evaluating successful interventions, high impact research will be generated that will inform the longer term of scaling and sustaining solutions for the healthcare system and beyond. Appointments will be made on a one-year basis with the possibility of extension.

Purpose of the post

The RF will work closely with the Principal Investigator to develop research based on the Transformation Office’s initiatives. In addition, the RF will work with the PI to train the team to undertake research studies.

Main Duties and Responsibilities

The RF will be expected to:

• lead the quantitative/qualitative research related to intervention evaluation
• contribute towards research protocol development
• manage the ethics application process
• mentor and deliver training sessions to junior staff (research associates, research assistants)
• supervise the collection of survey data
• perform statistical analysis on collected data, extracting meaningful insights and drawing relevant conclusions
• develop scientific papers and the dissemination of the study findings
• collaborate with researchers at the Department of Medicine

Qualifications

The applicant should:

1. hold a PhD in public health or health services research or appropriate social science discipline
2. be able to work independently and in a team, have an investigative nature, attention to detail
3. have knowledge of computer applications
4. be fluent in written and spoken English
5. good scientific writing skills as demonstrated by track records of publications in international peer-reviewed journals
6. be organized and able to prioritize workload

Remuneration will be commensurate with the candidate’s qualifications and experience. Informal enquiries are welcome and should be made to A/Prof Lim Yee Wei at [email protected] or Ms Winnie Chong at [email protected].

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

Tropical Marine Science Institute (TMSI) of National University of Singapore (NUS) has a vacancy in the area of storm surge and tide modelling in the warming climate.

The upcoming Project funded by a Singapore Agency for 4 years includes regional (South-East Asia, SEA) dynamical downscaling of storm surges using CMIP6 GCMs atmospheric projections for 21st century. The particular emphasis will be on storm surges trend and extremes in Singapore coastal waters. The successful candidate will be responsible for:

• setting and running DELFT3D Flexible Mesh (DELFT3D-FM) model using past and projected atmospheric forces downscaled by an atmospheric team;
• use model experiments and data analysis to compute and understand mechanisms of regional (SEA) and Singapore Strait storm surge variability and trend driven by larger scale atmosphere/ocean processes.

Candidate will be having Ph.D. in ocean/coastal sciences/engineering from a reputable University.

Depending on qualifications and experience, successful Candidate could be employed at Research Fellow or Senior Research Fellow level.

Qualifications

Successful candidate will be having the following knowledge, skills and experience:

• Understanding of mechanisms of storm surge generation and propagation at various scales, from global to local.
• Understanding of mechanisms of ocean/coastal responses to the climate change.
• Capability to set and run regional numerical experiments using DELFT3D-FM model.
• Capability to apply modern data analysis methods developed for sea level research;
• Experience with XBeach and OpenDA methods and software is an advantage;
• Ability to work in multidisciplinary team of researchers, including ocean/coastal and atmosphere scientists;
• Track records in publications.

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 immediately in the Li-Ren Kong and Sanjay De Mel research team. The position is funded by a thematic grant under NUS Centre for Cancer Research (N2CR) to investigate the key drivers in multiple myeloma, with the eventual goal to develop a ex vivo screening model for drug development.

Duties & Responsibilities

Research:
- Handling and processing clinical samples for genomics and proteomics analyses, including the establishment of long-term culture models for in-depth molecular characterization and functional studies.
- Organize and document experimental results systematically.
- Analyse data and summarise findings for the research team.

Administrative duties:
- Assist with lab housekeeping and administrative duties as needed.
- To maintain the N2CR Avatar portal, including registering & updating new entries and keeping track of the usage of the portal.
- To assist with administrative or ad hoc duties under the N2CR organoid interest group.

Qualifications

- Bachelor’s or Master’s degree in molecular biology or cancer biology.
- Knowledge in cell culture and basic molecular biology techniques.
- Effective communication and presentation skills, with ability to work independently.
- Prior experience on handling human patient material or organoid culture is preferred.
- Experience in laboratory management is preferred but not essential.
- Ability to communicate fluently in written and spoken English

Interested applicants should include the following documents in the job application
1) Curriculum Vitae (CV)
2) Summary of past research experience
3) Description of long-term plans
4) 3 referees including their name, contact information (email) and relationship to applicant

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 team of Prof Loh Kian Ping invites application for a postdoctoral fellow/research fellow working in condensed matter physics and two dimensional (2-D) materials devices.

Requirements

The candidate should have a PhD in Physics and should have worked in clean room as well as familiar with

1. the lithography of nanodevices, i.e. hall bar, field effect transistors and/or
2. CVD growth of ultrathin 2D materials
3. Dry transfer and stacking of 2D materials

The candidate should have a strong track record in 2-D material growth by CVD, publishing in the area of quantum topology physics concerning 2-D materials, or in the spintronics (spin Hall effect) of 2-D materials. The candidate should be adept at using low temperature, magnetic field transport system.

An attractive renumeration package will be offered for suitable candidate (research fellow) with a strong record in 2-D condensed matter physics and who has good publication record.

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 Fellow will work closely with the Principal Investigator, Dr. LIN Yiliang, on the research project of bio-interface design between living systems and materials for healthcare and sustainable applications.
• The Research Fellow will help to develop living materials system integrating functional hydrogels with microorganisms, perform material characterization, and investigate the real-world applications.

Job Requirements

• A PhD degree in a relevant area, e.g., Chemical Engineering, Material Science and Engineering, Chemistry, Biomedical Engineering;
• Good publication record;
• Experienced bio-interface design, construction of living materials, materials characterization, and cell culture.
• Any experience with 1) animal experiments, 2) advanced characterization techniques, and 3) soft matter mechanics and physics, is a plus
• This position is available from Jan 2025

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 Memory Aging & Cognition Centre (MACC) is a Research Center within the National University Health System funded by the Singapore National Medical Research Council that focuses on the study of dementia and cognitive impairment in the elderly. The MACC currently has 4 research themes on biomarker discovery, neuroimaging, clinical assessment and epidemiology.

There is an opportunity for a qualified candidate with interests in Neuroimaging to join the MACC in a Research Fellow role to study the neural basis of cognition and associated vulnerability patterns in neurodegenerative and cerebrovascular diseases. There is access to a 3T MR, MR-PET and retinal imaging.

Duties and Responsibilities

1. Perform academic research on neuroimaging (CT, MRI, PET and retinal) and its association with cognition and other clinical outcomes in MACC observational and clinical trial cohorts.
2. Provide supervision and training to research associates / research assistants / students.
3. Validate neuroimaging biomarkers in Singaporean and global populations.
4. Supervise and perform neuroimaging rating and analyses for observational studies, clinical trials, and collaborative projects.
5. Provide expertise to work with collaborators on the design and analyses of imaging studies.
6. Supervise and perform neuroimaging data entry, data quality, data storage / backup and data sharing services for the MACC and its collaborators.
7. Provide training for MACC staff and users (seminars, workshops, and tutorials) in neuroimaging.

Qualifications

The candidate must possess either:

1. a Basic Medical Degree (MBBS, MD, MD/PhD) and recognized postgraduate qualifications in Neurology or Radiology; OR
2. a PhD degree, which must include appropriate postgraduate training and experience in Neuroimaging.

The candidate must have a good record of research accomplishments in Neuroimaging –preferably but not exclusively in dementia or cognitive impairment. The candidate should possess the ability to work independently in a highly collaborative and international research environment, and be able to demonstrate initiative, creativity, technical independence, and excellent communication skills. Proven skills in MRI data analyses are preferred but not necessary. The successful candidate will be expected to take on a leadership role in neuroimaging research projects within the MACC under the supervision of the MACC Director and MACC PIs and collaborators in NUHS and Duke-NUS, as well as to undertake independent research.

More Information

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 3 referees.

Job Description

The Signature Research Programme in Health Services & Systems Research (“HSSR”) in Duke-NUS Medical School is a centre of academic excellence for research and education on the organisation, funding and delivery of health services. The programme’s focus is on public health and clinical service innovation in an increasingly complex and connected world. The major research focus of HSSR is the organisation and delivery of health and social services in the context of an ageing population. The research methods include decision science and simulation modelling, survey research, qualitative research, health economics, and implementation science and evaluation. We are also developing a range of education activities for health care professionals including short courses, graduate certificates, Masters course and PhD programmes.

A Senior Research Fellow position is currently available, and the successful candidate will be expected to perform a variety of research activities which include but not limited to the following: -

• Build up an Implementation Science core in HSSR and Health Services Research Institute (“HSRI”)
• Bring in grants in collaboration with our collaborators.
• Support research activities relevant to the scope of HSSR and HSRI.
• Be responsible for project management.
• Perform other related duties incidental to the work described herein or as assigned by the supervisor.

Job Requirements

• PhD in Public Health or Health Services Research.
• Minimum 3 years of postdoctoral work experience.
• Prior experience in healthcare would be advantageous.
• Possess strong writing and critical thinking skills.
• Have excellent communication (verbal & written) and interpersonal skills.
• Action-oriented, highly motivated, and target-focused.
• Able to work both independently and as a team player 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

The National University of Singapore (NUS) invites applications for the role of Research Assistant with the Heat Resilience & Performance Centre (HRPC), Yong Loo Lin School of Medicine. The HRPC is a first-of-its-kind research centre, established at the NUS, to spearhead and conduct research and development to better enable the future challenges arising from rising ambient heat. Appointments will be made on a two-year contract basis, with the possibility of extension.

The Research Assistant who will play a key role in assisting in the development, execution and analysis of research aimed at addressing the challenges of training and operating in rising ambient temperatures. The successful candidate will be part of a multi-disciplinary group comprising exercise and thermal physiologists, data scientists, biomedical engineers and researchers. This role will provide you with a unique opportunity to not only develop your expertise in research planning and execution, but also to be a part of the team looking to generate fundamental and forward-looking solutions to working in the heat.

Main Duties and Responsibilities

The main areas of responsibilities of the role will include but limited to the following:

• Working with research PIs and teams to develop new research ideas
• Performing literature searches, assimilating, and summarizing key information, as well as identifying knowledge gaps
• Designing and conducting relevant studies and surveys (qualitative and quantitative, including lab and outfield studies)
• Establishing and managing large databases
• Interpreting and analysis of data
• Generating reports and present data to relevant stakeholders
• Contributing to conference presentations and write papers for submission to peer reviewed journals
• Collaborating across teams, contributing to multiple research projects at once

Qualifications

A minimum qualification of a Bachelor's degree in Exercise Science, Physiology, or equivalent. Candidates with strong data science and analytics background and keen to delve into heat health research are strongly encouraged to apply as well). Experience in statistics, data analysis and visualisation software (e.g. SPSS, Power BI), and computer applications (e.g. Microsoft Office, data management and online meeting tools) would be required as well.

In addition, the role will require the following job relevant experience or attributes:

• Keen interest in heat health and human performance
• Proficient in qualitative research
• Proficient in data analysis tools in quantitative research
• Two or more years of research work experience would be an advantage
• Proven knowledge of data collection methods
• Good written and verbal communication skills
• Good presentation skills and ability to write research reports for publication in reputable journals

Additional Skills

• Resourceful and self-driven
• Adaptable and able to multitask well with clear follow-through
• High levels of attention to detail and quality
• Willingness to travel off-site and outside routine hours for data collection and undertake further training in relevant data collection procedures
• Demonstrated ability to work independently and thrive in a fast-paced environment
• Commitment to the ongoing development of a positive organizational culture
• Willingness to contribute to a learning environment

The role is based in Singapore.

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

Climate change is the defining challenge of our time, shaping the health of populations for generations to come. The National University of Singapore is tackling this crisis through its Centre for Sustainable Medicine (CoSM), working to accelerate the transition to low-carbon, climate-resilient health systems.

Purpose of the post

We invite applications for a highly motivated Research Assistant to work with the Principal Investigator and study team members to manage and conduct various research projects towards sustainable medicine, ensuring successful and timely completion of projects. This post has a specific focus on supporting the Centre’s research on understanding and quantifying the environmental impacts of healthcare products and clinical pathways.

Main Duties and Responsibilities

The individual will be responsible for the following tasks:

• Develop new models and methodologies to account for the environmental impacts of health systems. The individual will develop skills in data collection, carbon footprinting, cost-benefit analysis, life cycle analysis, monitoring and reporting, scenario development, forecasting, and policy appraisal.
• Assist in evaluating the environmental impact of healthcare products and clinical pathways using a range of approaches including carbon footprints and broader life cycle assessment.
• Assist in the data retrieval and critical appraisal of secondary data sources that evaluate the environmental impact of healthcare products and clinical pathways
• Engage in a variety of research-related activities including literature searches and reviewing, preparation of research materials, data collection, entry, analysis, and interpretation using in accordance with the highest research standards.
• Perform research operations and administration duties such as the preparation of grant, ethics review applications, manuscripts, reports, and other relevant documentation of study-related matters.
• Perform other administrative and basic project management support to the research projects, as assigned by the Director/Principal Investigator.
• Function as an effective, dynamic team player as part of the wider CoSM team.

Appointments will be made on a 12-month contract basis with the possibility of extension.

Qualifications

The applicant must:

1. Hold a bachelor’s degree in disciplines related to any of the following:A highly numerate subject (engineering, mathematics, physics, statistics, econometrics, computer science, operational research, or similar).
   Environmental and climate sciences.
   Public health and health services research.
   Demonstrate a keen interest in sustainability, energy systems, climate change, and/or health services and public health.
   Be highly numerate, analytical, and be willing to work with complex datasets.
   Be a proficient user of Microsoft Office, including Excel (use of functions, data tables, pivot tables, statistical analysis, data visualization, macros, etc.).
   

Qualifications

1. Be willing to undertake further training in relevant data collection and modelling techniques.
   Be a team player with an ability to work independently.
   Be resourceful, adaptable, and meticulous.
   Have excellent command of spoken and written English, with strong interpersonal and communication skills.
   

Additional Skills

1. The ideal applicant should also:Have experience working in sustainability, energy systems, life cycle analysis, and/or health services research.
   Demonstrate knowledge of LCA databases (e.g. Ecoinvent, OpenLCA, SimaPro, GABI) and carbon accounting standards (e.g., GHG Protocol, ISO 14044, ISO 14040, ISO 14067, PAS2050 etc.).
   Demonstrate ability to critically appraise academic literature and life cycle assessments published in various forms (including industry reports)
   Demonstrate knowledge of statistical computing, data science, data modelling, or data visualization languages and software (e.g., PowerBI, Python, R, SAS, SPSS, SQL, Tableau, etc.).
   

Application

Remuneration will be commensurate with the candidate’s qualifications and experience. Informal enquiries are welcome and should be made to Lee Hui Shuang, at [email protected].

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

The team of Prof Loh Kian Ping invites application for a postdoctoral fellow/research fellow working in condensed matter physics and two dimensional (2-D) materials devices.

Requirements

The candidate should have a PhD in Physics and should have worked in clean room as well as familiar with

1. the lithography of nanodevices, i.e. hall bar, field effect transistors and/or
2. CVD growth of ultrathin 2D materials
3. Dry transfer and stacking of 2D materials

The candidate should have a strong track record in 2-D material growth by CVD, publishing in the area of quantum topology physics concerning 2-D materials, or in the spintronics (spin Hall effect) of 2-D materials. The candidate should be adept at using low temperature, magnetic field transport system.

An attractive renumeration package will be offered for suitable candidate (research fellow) with a strong record in 2-D condensed matter physics and who has good publication record.

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 Electrical and Computer Engineering (ECE) Department at the National University of Singapore (NUS) is seeking qualified applicants for the position of Research Fellow to join our team and contribute to our ongoing research projects related to thermal management of flexible electronics. You will play a key role in designing and fabricating flexible electronic devices, with a specific focus on solving challenges related to overheating and heat dissipation.

Responsibilities:

• Design and fabricate integrated thermal management system for flexible electronics devices, including RF devices.
• Conduct thermal simulations to identify potential thermal issues and optimize the heat dissipation capabilities of the devices.
• Develop and implement innovative thermal management materials, structures, and approaches to address overheating challenges in flexible electronics.
• Explore and evaluate new materials for efficient heat transfer, storage, and dissipation in flexible electronic devices.
• Collaborate with interdisciplinary team members to integrate thermal management solutions into the overall device design and fabrication process.
• Perform experimental characterization of thermal properties and performance of flexible electronic devices using appropriate measurement techniques and equipment, including IR thermal imaging and thermal reflectance system.

We offer a competitive salary commensurate with qualifications and experience, along with a stimulating research environment and access to state-of-the-art facilities. This is a full-time position with an initial contract duration of 12 months, with potential for renewal based on performance and funding availability.

To apply, please submit your application materials, including a cover letter and curriculum vitae.

Review of applications will begin immediately and continue until the position is filled.

Qualifications

Candidate should meet at least 4 criteria from the following list:

• PhD Degree in Electrical Engineering, Chemistry, Materials Science, or a related field with a focus on flexible electronics and thermal management.
• Strong background in thermal management of electronic devices.
• Proficiency in thermal simulation software for analyzing and optimizing thermal performance.
• Knowledge of thermal management techniques and strategies for flexible electronics, including heat dissipation mechanisms and materials.
• Experience in developing and characterizing novel materials for heat transfer, storage, and dissipation in electronic devices.
• Familiarity with experimental techniques for thermal characterization, such as thermal imaging and thermal reflectance.
• Strong problem-solving skills and ability to think critically about thermal management challenges in flexible electronics.
• Excellent written and verbal communication skills, with the ability to present research findings effectively.
• Track record of research publications in reputable scientific journals.
• Open to Fixed Term Contract.

Job Description:

We are looking for an Investment Research Intern to join our investment team. This role is perfect for fresh graduates or undergraduate students who are eager to dive into investment research (e.g. style factors), financial data analysis, and uncover its unique characteristics compared to other industries. The ideal candidate will have a passion for financial investment research (in stocks and futures), data and portfolio performance analysis, an analytical mindset, and a keen interest in the financial sector. We are seeking candidates with strong analytical skills, problem-solving abilities, and programming experience, particularly in maintaining and refining existing Python code.

Responsibilities:

• Assist in conducting investment research (e.g. factor research) using Python and/or spreadsheets.
• Utilize statistical methods and/or visualisation techniques to present findings clearly and compellingly.
• Support the investment team in preparation of presentation materials for internal discussions.
• Maintain and update existing data cleansing, investment portfolio construction and performance analysis codes written in Python.

Requirements:

• Currently pursuing or recently completed a degree in (Quantitative) Finance, Economics, Statistics, Computer Science, or a related field.
• Strong analytical abilities, data manipulation skills, and a passion for working with data.
• Proficiency in Python, preferably with a focus on writing structured, class-based code.
• Self-motivated, eager to learn, and enthusiastic about new technologies.
• Experience in SQL is a plus.

Additional Notes:

• This internship offers a great opportunity to gain hands-on experience in financial data analysis and contribute to impactful projects.
• You will have the chance to work with seasoned investment professionals, gaining valuable insights and experience in the financial industry.
• The internship period will be for 3 months with a possible 3-month extension based on performance outcomes.

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 staff would lead at least one project under supervision of the Principle Investigator (PI).

• The scope of the project is on biomass valorization for either aviation fuel production or transformation into advanced materials.
• Develop a well justified approach to achieve a goal, once a problem statement and/or a research scope is defined by the PI and the staff.
• Executive the plan experimentally and interpret the data critically.
• Report to the PI proactively and take the initiative to propose changes to the plan when the project faces a technical challenge.
• Draft manuscripts and attend conferences to publicize the project findings.
• Support other team members and train junior colleagues.
• Draft research proposal together with the PI.

Qualifications

A well-qualified candidate should:

(1) be passionate about research;

(2) have a Bachelor’s degree in Chemical Engineering, Chemistry, or a similar/equivalent discipline;

(3) be an expert of chemical conversion of natural and synthetic polymers;

(4) command both spoken and written English at professional level;

(5) be a good team player;

(6) excellent publication record in related areas.

Responsibilities:

• Be fully responsible for health and environmental control, safety meeting and to ensure a safe working environment at workplace.
• Enforce & maintain high level of safety awareness and consciousness in the workplace.
• Review & Implement HSE policy and guidelines, safety management system for the company.
• Conduct regular site inspection to ensure compliance at all times.
• Familiar with all workplace safety and health matters, including WSH Act, COP & etc.
• Recommend, implement & carry out safety training programmes for workers.
• Work closely with site operating staff on all safety and health issues.
• Supervise, inspect and rectify any unsafe workplace.
• All other duties of WSHO.

Job Requirements:

• Candidate must possess Diploma / Degree in related field.
• Possess a valid registration with MOM as Workplace Safety and Health Officer (WSHO).
• At least 3 years of relevant experience in building construction.
• Knowledge of construction process & activities.
• Possess good leadership & communication skills.

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

Research Fellow (postdoc) positions in the Department of Chemical and Bimolecular Engineering at National University of Singapore (NUS).

The primary objective of this position is to foster a profound design principle towards novel, efficient and robust electrochemical reactors for the efficient conversion of CO2/CO into liquid fuels. The key is to prevent the electrolyte flooding while maintaining the CO2 reduction efficiency.

The research fellow is required to help in guiding young students, visiting scholars, and assisting the establishment of larger research applications and facilitating initiatives with respect to sharing and developing infrastructure for electrocatalysis research within NUS.

Job Requirements

Applicants must hold a PhD (or other equivalent degrees) in chemical engineering, chemistry, materials science or other relevant related field. Experience with electrocatalysis, or similar chemistries, is considered advantageous. Experience with material characterization techniques like SEM/EDS, TEM, STEM, XRD, XAS, XPS, FTIR, and Raman will also be highly considered. Since cross disciplinary work is essential for the success of this project, it is considered positive if the candidate can demonstrate experience in similar work environments.

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 Engineer position is open in the research group of A/P Wang Xinchao, at the Department of Electrical and Computer Engineering, National University of Singapore (NUS). The Research Engineer will work closely with the Principal Investigator (PI) on one or more research projects. The candidate will join the research team in the areas of Deep Learning and Vision Applications.

The successful candidate is required to:

• Contribute to Dialogue, Speech Signal Processing and Machine Learning algorithms.
• Contribute to Image Processing and Machine Learning algorithms.
• Contribute to the implementation of Automatic Speech Recognition framework and development of systems.
• Contribute to the implementation of machine learning framework and development of image processing systems.
• To advance the knowledge, to publish in leading journals and conferences.
• To prepare and meet the project deliveries and milestones.

Qualifications

• Recognised degree in Bachelor / Master in Electrical Engineering, Computer Science or Computer Engineering
• Strong programming skills in one of the programming languages: C / C++, Matlab, Python
• Have prior project related experience
• Good team player and be able to work independently.
• Strong organizational, writing and interpersonal communications.
• Meticulous, able to work well under pressure and commitment to meet tight deadlines
• 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 Institute for Functional Intelligent Materials (I-FIM) is seeking a researcher to investigate the application of scientific machine learning algorithms to develop an equation of state for dynamical systems out of equilibrium, with a focus on polymers under elongational flow. The role involves analysing large datasets from simulations and experiments to uncover patterns that traditional models may miss, aiming to enhance predictive capabilities for polymer behaviour. The work will be undertaken in collaboration with experts in algorithm development and experimental data collection and analysis. Additionally, the researcher will study the extension of developed framework to model multi-pendulum systems, exploring complex dynamics relevant to robotics and climate science. Findings will be disseminated through peer-reviewed journals, and the developed code will be made publicly available on GitHub.

Job Requirements

• Development of in the loop optimisation processes
• Ability to develop custom or apply state-of-the-art computer vision algorithms (CNN, AE, etc)
• Data cleaning, augmentation and dimension reduction
• Ability to work with common Python ML libraries (scikit-learn, tensorflow 1 & 2, pytorch), develop custom neural networks and implement classification and regression algorithms
• Interdisciplinary collaboration with researchers and scientists from different academic backgrounds
• Experience working in organic laboratories
• Knowledge of working with microfluidics platforms

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

The Research Assistant 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 machine learning.

Qualifications

• A Bachelor’s degree with Honours in a relevant area; 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

The National University of Singapore invites applications for Research Assistants to join our projects in the Department of Diagnostic Radiology, Yong Loo Lin School of Medicine. Our projects are primarily focused on exploring the role of neuroimaging in the clinic, facilitated by quantitative analysis including machine learning, with a focus on neurodegenerative diseases (e.g. Alzheimer's and Parkinson's disease), with a small focus on brain tumor imaging. The title of the current major project is <Development of a data-driven imaging biomarker for Alzheimer's disease>. The main objective of our ongoing research is to develop and validate data-driven imaging biomarkers to predict the prognosis of Alzheimer's disease dementia in elderly individuals by harmonizing established Alzheimer's disease research datasets and retrospective local institutional datasets.

The primary responsibilities of the Research Assistant will revolve around data management and administrative tasks, as described below:

Key Responsibilities

Database management and basic analysis:

- Download and integrate imaging and other non-imaging data into our research database.

- Perform basic neuroimaging processing and analysis using our existing R / Python pipeline. The role could extend to pipeline customization if the RA shows an interest and aptitude for image analysis work.

- The role could extend to basic statistical analysis and machine learning tasks using pre-built code, under the guidance of the PI and AI expert research staff, if the RA shows interest and aptitude for the above tasks.

Administrative tasks:

- Assist with ethical application processes for access to public datasets such as UK Biobank, ADNI, etc. and ensure compliance with institutional/university IRB procedures.

- Provide general administrative and secretarial support to the project, such as coordinating meetings, procurement, etc.

Assist in the preparation of scientific documents:

- Conduct literature searches, assist in the preparation of manuscripts, grant proposals/reports, and other scientific documents under the direct supervision of the PI.

Qualifications

Interested candidates should: (a) Have an undergraduate degree with good grades or a Master's degree in life sciences, engineering, or related fields; preferably, but not required, with some experience in dry lab or imaging research (b) Have basic programming skills in R and Python (ability to use code written by others under guidance) (c) Have fluent oral & written communication skill (d) Demonstrate the ability to work independently and as part of a team, and show investigative tendencies and attention to detail.

Compensation will be commensurate with the candidate's qualifications and experience. Only shortlisted candidates will be contacted.