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

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.

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

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

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.

About the Centre for Quantum Technologies (CQT)

The Centre for Quantum Technologies (CQT) in Singapore brings together physicists, computer scientists and engineers to do basic research on quantum physics and to build devices based on quantum phenomena. Experts in this new discipline of quantum technologies are applying their discoveries in computing, communications, and sensing.

CQT is hosted by the National University of Singapore. The Centre also has staff at the Agency for Science, Technology and Research, Nanyang Technological University, Singapore, and the Singapore University of Technology and Design. With some 200 staff and students, it offers a friendly and international work environment

Learn more about CQT at www.quantumlah.org

Job Description

The Centre for Quantum Technologies (CQT) at the National University of Singapore (NUS), and the French-Singaporean international laboratory (Majulab), are seeking a talented postdoctoral fellow to conduct theoretical and numerical investigations on Kardar-Parisi-Zhang (KPZ) physics in quantum systems.

The KPZ equation, introduced in 1986 to describe the growth of rough surfaces, has since become a captivating area of research due to its remarkable universality. The project entails studying three quantum platforms where recent studies have shown signatures of KPZ physics: random quantum circuits, Anderson localization, and exciton-polariton condensate, as detailed in [Nahum et al., PRX 2017; Mu et al., PRL 2024; Fontaine et al., Nature 2023]. All three systems are subject to random fluctuations in their many-body degrees of freedom: (i) in the growth of entanglements in quantum circuits, (ii) in the wavefunction fluctuation of an Anderson localized system, and (iii) in the phase of a driven-dissipative condensate.

Despite being completely different, these systems are strikingly connected by KPZ physics. By following upon this unique cross-platform connection, one has the opportunity to discover new properties in each of these systems that could not have been envisaged otherwise. In this position, the fellow's primary focus will be on the latter two platforms and interact closely with another fellow dedicated to the first platform.

Job Requirements

The candidate should possess a solid academic track record and some prior experience in quantum disordered systems, quantum transport, many-body physics, quantum information, quantum fluids, or cold atoms. Proficiency in numerical simulations is essential.

The appointee will join CQT under the supervision of a group of researchers including Profs., Kwek Leong-Chuan, Hui Khoon Ng, Jiangbin Gong, Gabriel Lemarié, Maxime Richard, and Christian Miniatura. The candidate will actively contribute to all aspects of the group's operation, including co-supervising interns and PhD candidates. Salary will be competitive and commensurate with the candidate's work experience. Applicants are required to submit a detailed CV. Positions will initially be offered for 12 months with possible extension by another 12 months. The position is available from June 2024 and will remain open until filled. Shortlisted applicants should also arrange for three letters of reference.

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.

Responsibilities

TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including San Jose, Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo.

Why Join Us

Creation is the core of TikTok's purpose. Our platform is built to help imagination thrive. This is doubly true of the teams that make TikTok possible.

Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.

To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.

At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.

Join us.

About The Team:

The mission of the TikTok Eng-AI Innovation Center is to explore cutting-edge AGI technologies, including but not limited to LLM, multi-modal LLM (video/image/audio/text/code), etc., to let machine better understand user creations on Tiktok platform. Regarding to video/image/audio/text, enhanced content understanding can bring better user experience of searching, recommendation, and can more accurately identify and defend internet abuse and fraud on our platform. Regarding to code, our developed LLM aims to automatically re-organize/optimize Tiktok codebase, and make the code/coding become more accessible for Tiktok engineers.

The main job directions include:

- Drive core technology development for large language model code direction, continuously optimizing code comprehension, reasoning, and generation capabilities.

- Focus on improving code comprehension, reasoning, and generation capabilities in real-world production codebases, improving TikTok service code performance and privacy compliance.

- Explore Code Agent capabilities suitable for actual business production environments, and improve TikTok R&D efficiency.

Qualifications

Minimum Qualification

- PhD degree required, with top artificial intelligence conference papers (NeurIPS, ICML, ICLR, CVPR, ACL, OSDI, NSDI, SC and SigMOD, etc.) in machine learning (ML), computer vision (CV), natural language processing (NLP) and other fields.

- Programming skills, data structure and algorithm skills, proficient in C/C++ or Python programming language, candidates with awards in ACM/ICPC, NOI/IOI, Top Coder, Kaggle and other competitions are preferred.

- Research experience in the field of machine learning, especially in large language models (LLMs) and generative artificial intelligence.

Preferred Qualifications

- Excellent problem analysis and solving skills, and passionate about solving challenging problems.

- Passionate about technology, good communication skills and teamwork spirit.

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

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.

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.

Work hours: Monday - Friday, office hours

Location: Redhill, Kay Siang

Contract period: 1 year contract

Job scope:

• To support research and evaluation projects on offender rehabilitation by:
• Collecting and analyzing data
• Developing surveys and conducting interviews
• Presenting findings and writing reports
• Other duties such as supporting the preparation of the Annual Report and preparing statistics on client profiles, may be assigned where necessary

Requirements:

• Degree
• Good analytical skills
• Proficiency in Excel and SPSS, is preferred
• Experience with data analysis and/or conducting qualitative analysis will be advantageous
• Only Singaporeans

Interested candidate please click "APPLY" to begin your job search journey and submit your CV directly through the official PERSOLKELLY job application platform - GO Mobile

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Summary of Role:
The candidate in this role is responsible for planning the supply of spare/maintenance/consumable parts to maintain optimum inventory levels (consumables, spares, etc.) and ensure the efficient running of the center. His other roles are being ISO certified and working on End Users Certifications (EUC).

Essential Responsibilities include:

• Plan and schedule Spare parts requirements based on demand plan/material requirement requests from Fabs.
• Regularly review inventory levels for specific categorization of materials.
• Regular monitoring of critical materials to ensure uninterrupted manufacturing.
• Coordinate with warehouse/logistics to ensure accurate inventory levels and stock availability.
• Publish essential spare parts metrics/KPIs to management on a timely basis.
• Derive the material requirement plan based on the master production schedule to procure and source.
• Good Knowledge of Inventory management.
• Oversee the department R&M/Chemicals, etc. stores – upkeep with house-keepings, periodic cycle counts.
• Maintain the inventory database, ensuring timely and accurate recordings.
• In charge of day-in-day-out logistics operations.
• Coordinate with and on the movement of materials.
• Must work closely with operation teams on the center's logistic needs.
• Ensure to adhere to zero safety requirements.
• Work on continuous improvement program in logistics operations.
• Ability to work in a multi-task environment.
• Providing day-to-day operations in FAB production material planning, inventory management, and procurement.
• Planned and monitored production schedule in the high-mix, low-volume environment (HMLV).
• Collaborate across departments in the planning process to plan and purchase materials requirements and meet the production plan effectively.
• Follow through with the orders from the start till delivery and ensure that goods are delivered on time.
• Ability to work in a multi-task environment.

Other Responsibilities:

• Perform all activities safely and responsibly and support all Environmental, Health, Safety & Security (EHS) requirements and programs.
• Support ISO certification and across suppliers' EUC requirements
• Support internal audit program by conducting ISO9001/TS16949 audits, gap analysis, and corrective action implementation
• Research best practices and conduct benchmarking related to QMS processes, methods, and tools
• Based upon the overall Quality System performance, identify critical systems or processes where quality improvements are required, initiate projects or activities to analyze, evaluate and propose solutions to address the problem and improve performance

Required Qualifications:

• Minimum of 5 years of professional experience in procurement, consulting, program management, and supply chain & inventory
• Direct experience in pricing and contract negotiations, supplier relationship management, business strategy, contract manufacturing/outsourcing, and continuous process improvement
• Communicate complex information clearly and concisely.
• Develop and maintain collaborative business relationships with stakeholders and align ISO/EUC requirements for the program.
• Interact with all levels of the organization.
• Perform in a very fast-paced environment.

Summary of Role:
The candidate in this role is responsible for planning the supply of spare/maintenance/consumable parts to maintain optimum inventory levels (consumables, spares, etc.) and ensure the efficient running of the center. His other roles are being ISO certified and working on End Users Certifications (EUC).

Essential Responsibilities include:

• Plan and schedule Spare parts requirements based on demand plan/material requirement requests from Fabs.
• Regularly review inventory levels for specific categorization of materials.
• Regular monitoring of critical materials to ensure uninterrupted manufacturing.
• Coordinate with warehouse/logistics to ensure accurate inventory levels and stock availability.
• Publish essential spare parts metrics/KPIs to management on a timely basis.
• Derive the material requirement plan based on the master production schedule to procure and source.
• Good Knowledge of Inventory management.
• Oversee the department R&M/Chemicals, etc. stores – upkeep with house-keepings, periodic cycle counts.
• Maintain the inventory database, ensuring timely and accurate recordings.
• In charge of day-in-day-out logistics operations.
• Coordinate with and on the movement of materials.
• Must work closely with operation teams on the center's logistic needs.
• Ensure to adhere to zero safety requirements.
• Work on continuous improvement program in logistics operations.
• Ability to work in a multi-task environment.
• Providing day-to-day operations in FAB production material planning, inventory management, and procurement.
• Planned and monitored production schedule in the high-mix, low-volume environment (HMLV).
• Collaborate across departments in the planning process to plan and purchase materials requirements and meet the production plan effectively.
• Follow through with the orders from the start till delivery and ensure that goods are delivered on time.
• Ability to work in a multi-task environment.

Other Responsibilities:

• Perform all activities safely and responsibly and support all Environmental, Health, Safety & Security (EHS) requirements and programs.
• Support ISO certification and across suppliers' EUC requirements
• Support internal audit program by conducting ISO9001/TS16949 audits, gap analysis, and corrective action implementation
• Research best practices and conduct benchmarking related to QMS processes, methods, and tools
• Based upon the overall Quality System performance, identify critical systems or processes where quality improvements are required, initiate projects or activities to analyze, evaluate and propose solutions to address the problem and improve performance

Required Qualifications:

• Minimum of 5 years of professional experience in procurement, consulting, program management, and supply chain & inventory
• Direct experience in pricing and contract negotiations, supplier relationship management, business strategy, contract manufacturing/outsourcing, and continuous process improvement
• Communicate complex information clearly and concisely.
• Develop and maintain collaborative business relationships with stakeholders and align ISO/EUC requirements for the program.
• Interact with all levels of the organization.
• Perform in a very fast-paced environment.

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.

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.

Role & Responsibilities

First-year Analyst role within the Research & Strategy team. Primary function is to support the fund’s Portfolio Managers. Key aspects of the role:

• Keeping abreast with currency, equity and fixed income trends and valuation and market moving events (including geopolitical events)
• Analysing economic data in all Asian and G10 markets to formulate trade ideas
• Econometric models and Quantitative statistical analysis are also utilized
• Regular interaction with external sell-side research and economists
• Python proficiency

1. Apply technical expertise in quantitative analysis, data mining, economics & financial markets knowledge to perform economic modelling and event studies using Python
2. Development and back-testing of systematic trading strategies across different asset classes (FX, Equities, Fixed Income) using statistics libraries from Python and in-house proprietary software
3. Design and implementation of algorithms and automated tools using Python for web-scraping, data cleaning, and data visualization purposes
4. Build new libraries for analytics by writing clean and maintainable code

Basic Qualifications

• Highly motivated self-starter who has an individual passion for financial markets
• Keen understanding of macroeconomic, fixed income, currency and equity markets
• Strong, confident communication and interaction skills
• On top of strong academic qualifications, quantitative finance qualifications or academic courses will be valued
• Prior fund management internship experience is preferred
• Besides strong Excel skills, Programming/Coding is REQUIRED (Python, C++) and able to use Bloomberg
• Fluency in Business Mandarin is a must

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.

• Deliver high standard of nursing care to our renal patients.
• Perform initiation of dialysis, patient and machine monitoring during dialysis, and termination of the dialysis procedure.
• Nursing intervention to avoid complications, decreasing the need for hospitalisations.

Requirements:

• SNB Registered
• Diploma in Nursing with relevant working renal experience.

If you are keen to apply for the position, kindly email your detailed resume in MS Word to [email protected]

Please note that only shortlisted candidates will be notified.

For more job opportunities, please visit our website at www.recruit-expert.com

EA Licence: 19C9701

Registration: R1326740

Chugai Pharmabody Research Pte. Ltd. (“CPR”) was established in Singapore as a wholly-owned subsidiary of Chugai Pharmaceutical Co., Ltd (Chugai), a member of Roche group, in January 2012 and started operations on July 2, 2012. Located at Biopolis in Singapore, it aims to generate new antibody drugs based on Chugai’s proprietary antibody engineering technologies, such as recycling antibody®, sweeping antibody®, bispecific antibody, various Fc engineered antibodies, and other new antibody engineering technologies that are under development.

Senior Research Support Officer in Research Support Unit

Facility Management:

• Establish short term (1 – 3 years) and long term (5 years and above) facility management plan to be in line with company’s business continuity plan.
• Establish the facility monitoring system in cooperation with external vendors.
• Conduct facility management, such as repair works and maintenance works, in cooperation with external vendors.
• Arrange the relocation of lab and equipment in line with research activities.
• Schedules and oversees the use of space, resources, and lab/equipment in line with research activities.

Requirements:

• General degree with minimum 8 years of facility management experience in the life science industry.
• Business proficiency in Japanese Language is a must to liaise with Japanese speaking colleagues and clients.
• Proficient in Microsoft Office Applications such as Word, Powerpoint, Excel, Outlook, Forms etc.

Interested applicants are invited to apply with their detailed resume, qualifications, availability, current and expected salary.

For more information regarding our Company, you may refer to our website at:

http://chugai-pharmabody.com/

We regret that only short-listed candidates will be notified