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. A major research thrust is the synthesis and investigation of artificially engineered heterostructures of quantum materials synthesized by molecular beam epitaxy (MBE) with strong electron correlations which allow new emergent states to be created at the interface.

Requirements

The candidate should have a PhD in Physics and have experience in operating

1. Angle resolved photoemission spectrometer, and the collection and interpretation of results arising
2. Experience in the molecular beam epitaxy growth of 2D topological materials
3. UHV-scanning tunnelling microscopy/Q plus AFM

The candidate should have a strong track record in surface physics or condensed matter physics.

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

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.

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

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

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

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 mdclyw@nus.edu.sg or Ms Winnie Chong at winniec@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

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. A major research thrust is the synthesis and investigation of artificially engineered heterostructures of quantum materials synthesized by molecular beam epitaxy (MBE) with strong electron correlations which allow new emergent states to be created at the interface.

Requirements

The candidate should have a PhD in Physics and have experience in operating

1. Angle resolved photoemission spectrometer, and the collection and interpretation of results arising
2. Experience in the molecular beam epitaxy growth of 2D topological materials
3. UHV-scanning tunnelling microscopy/Q plus AFM

The candidate should have a strong track record in surface physics or condensed matter physics.

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 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.

A qualified candidate will be self-motivated with strong technical and analytical skills as well as possess practical and hands-on approach to engineering control in the areas of metrology management

Responsibilities:

• Recipe creation and optimisation for new R&D applications requirement.
• Preventive and corrective maintenance planning cum execution and vendor management.
• To take charge of new tools technical assessment and tender creation (equipment cum process application startup) and service contract tender set-up
• Drive continuous improvement projects (CIP) to achieve better measurement repeatability (MSA, GR&R, SPC etc).
• To set-up appropriate process and product control plan and out of control action plans (OCAP)
• Provide technical training to related staff on best-known practices in terms of application metrology recipe creation.

Requirement:

• Diploma/Bachelor degree in Electrical and Electronics, Material, Physics or Chemical engineering
• Minimum 3~5 years of hands-on semiconductor experience (preferably in metrology application and equipment maintenance)
• Possess computer soft ware skills (i.e. JMP, Minitab, SQL, Visual basic, etc)
• Knowledge in problem solving and quality control skills (i.e. LEAN 6sigma, RCA, DOE, etc)

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

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 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.

As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT.

The primary responsibility of this role is to deliver on an industry innovation research project where you will be part of the research team to develop a first-of-its kind AI-assisted integrated NDT verification system for reusability of structural steel with accuracy of ±10% at confidence level of 95%. The key innovation is to use AI to analyse a bigger data set and build a multi-parameter machine learning (ML) model that integrate the complex mechanical properties obtained from DT and the electric/magnetic permeability data obtained from NDT to predict the critical material characteristics of reusable steels.

Key Responsibilities

• Participate in and manage the research project with Principal Investigator (PI), Co-PI and the research team members to ensure all project deliverables are met.
• Undertake these responsibilities in the project:
  1. Establishing test result database: Conducting both DTs and NDTs on the same samples to create a comprehensive dataset for AI model development, managing data collection processes on-site at the collaborator’s factory, and ensuring the accuracy and integrity of the collected data.
  2. Developing statistical model: Utilizing DT results to develop statistical models for estimating mechanical characteristics based on normal distribution and analyzing statistical data to support model development.
  3. Developing and verifying the AI model: Developing various regression models and evaluate their feasibility and suitability, conducting model fitting and verification phases using training and test datasets and ensuring the selected model meets the accuracy criteria (±10% at 95% confidence) for individual mechanical characteristics and overall classification results (grade determination).
  4. Validation of the method: Implementing the proposed method and AI model in test bedding cases, measuring the impact of the method in terms of time and cost savings and developing implementation guidelines based on validation results.
• Carry out Risk Assessment, and ensure compliance with Work, Safety and Health Regulations.
• Coordinate procurement and liaison with vendors/suppliers.
• Work independently, as well as within a team, to ensure proper operation and maintenance of equipment.
• Publish research findings in peer-reviewed journals and present at conferences.
• Assist in the preparation of project reports, proposals, and documentation.

Requirements

• Have relevant competence in the areas of structural engineering, material science, statistics and programming basics.
• Have a degree in Civil Engineering, Mechanical Engineering or Material Science. Possessing a Master’s or PhD degree will be advantageous.
• Knowledge of AI / ML and common ML programming languages will be advantageous.

Key Competencies

• Able to build and maintain strong working relationships with people within and external to the university.
• Self-directed learner who believes in continuous learning and development
• Proficient in technical writing and presentation
• Possess strong analytical and critical thinking skills
• Show strong initiative and take ownership of work
• Able to carry out data preprocessing, develop statistical and regression models.
• Possess knowledge of the mechanical properties of structural steel and factors affecting its performance
• Able to prioritize tasks, meet deadlines, and manage multiple responsibilities.

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.

School Janitor / Cleaner @ Buona Vista

Location: Walking distance from Buona Vista MRT

Responsibilities:

• Perform daily cleaning tasks to maintain the cleanliness and hygiene of the school premises.
• Ensure all areas, including classrooms, restrooms, and common areas, are cleaned and sanitised according to established standards.
• Empty trash bins and dispose of waste appropriately.
• Assist with maintaining inventory of cleaning supplies and equipment.

Requirements:

• Prior experience in cleaning or housekeeping preferred.
• Ability to work independently and efficiently.
• Strong attention to detail and commitment to cleanliness and hygiene.
• Good communication skills and the ability to work well within a team.
• Must be reliable, punctual, and trustworthy.

Benefits:

• Attractive salary package
• Friendly and supportive work environment

To apply, please contact us via WhatsApp +65 6222 3233. We look forward to hearing from you!

Note: Only shortlisted candidates will be contacted for an interview.