1,268 Research Roles jobs in Singapore

Senior Research Fellow/Research Fellow (Computational Sciences/Aerospace Engineering/Operations Research)

The Air Traffic Management Research Institute (ATMRI) is seeking to hire a Senior Research Fellow / Research Fellow to develop artificial intelligence methods and machine learned models to improve the performance, reliability and safety of air traffic system's operations in the face of increasing demand for air travel and inherent uncertainties (for e.g. weather and delays) in the air traffic management (ATM) system.

Key Responsibilities:

• Conduct research in artificial intelligence methods and machine learned models.
• Collect and analyze air traffic data related to the project.
• Develop optimization algorithm and models for air traffic management.
• Run simulations and perform visualization and data analysis.
• Develop prototypes and intelligent tools for air traffic flow management.
• Assist Principal Investigator with project management and lead/mentor research team.
• Communicate and collaborate effectively with industrial and academic partners.

Job Requirements:

• PhD degree in Computational Sciences/aerospace engineering/Operations Research/related field.
• A minimum of 2 years of post-doc experience in the domain of Air Traffic Management.
• Strong publication record in top journals (SCI Q1) and peer-reviewed ATM conferences.
• Strong theoretical background in machine learning, computational intelligence and optimization
• Strong programming skills in Python, C++, MATLAB
• Excellent English writing and communication skills
• Able to work independently and be a team player.
• Able to multitask between project and research tasks.

We regret that only shortlisted candidates will be notified.

The Cognitive Neuroimaging Centre (CoNiC) is one of the NTU's strategic shared research facilities, serving the NTU research community and other partnering institutions. It focuses on exploring the structure and functions of the

human brain, with particular emphasis on both normal and pathological cognitive processes. Located in the Experimental Medicine Building on NTU's main campus, CoNiC is equipped with state-of-the-art neuroimaging and brain monitoring technologies. These include a Siemens Prisma 3T MRI scanner, a Siemens 0T mock scanner, an Elekta Triux MEG system, as well as EEG, fNIRS, TMS and other neuroimaging modalities.

As a strategic shared research facility, CoNiC places strong emphasis on service quality, operational excellence and scientific integrity. With growing demand and increasing complexity in neuroimaging research, it continues to play a key role in advancing both basic and clinical research.

We seek a Research Fellow with strong hands-on expertise in designing and conducting neuroimaging experiments, proficient in image processing and programming paradigms. The successful candidate will contribute to ongoing

multidisciplinary research and play an active role in developing novel methodologies and harmonising protocols across studies. In addition to supporting research projects, the candidate will provide data analysis services to users,

facilitate collaborations across disciplines and contribute to the continuous enhancement of CoNiC's shared facility capabilities. This role is critical to enabling high-impact, collaborative neuroimaging research across NTU and external institutions while supporting the operational and scientific success of the centre. The role is based across both the Experimental Medicine Building (EMB) at NTU's main campus and the Clinical Sciences Building (CSB) at the Novena campus. Flexibility to work at either site, depending on project and operational requirements, is essential.

Key Responsibilities:

• Design, plan and conduct experiments using structural and functional MRI, EEG, fNIRS and other neuroimaging modalities
• In coordination with the Assistant Director, develop and optimise imaging protocols for the users by designing paradigms and tasks for functional MRI studies
• Perform image analysis and postprocessing using neuroimaging softwares such as S.P.M, CONN, BrainVoyager, EEGlab and NIRSlab, etc
• Apply programming skills in E-Prime, MATLAB, PsychoPy and Python for stimulus presentation and data analysis
• Conduct statistical analysis using software such as SPSS, R or Python to support data interpretation and research findings
• Collaborate with and provide technical support to Principal Investigators in experimental design, data processing and grant proposal development, in consultation with the Assistant Director
• Guide and mentor students (PhD, URECA, scholarly projects and attachments) and train staff in neuroimaging data acquisition and analysis
• Contribute to CoNiC's mission by developing new methodologies, harmonising protocols and implementing best practices across projects
• Conduct independent research and publish findings in peer-reviewed scientific journals
• Prepare technical documentation, progress reports, assist with grant applications and support patent-related submissions where applicable
• Ensure quality assurance, validation of analysis pipelines and compliance with safety and research standards
• Support troubleshooting and contribute to planning future technology upgrades
• Participate in initiatives aimed at enhancing CoNiC's infrastructure and research productivity through acquisition of advanced hardware and software tools
• Undertake any other duties as assigned by the Centre Director and Assistant Director

Job Requirements:

• PhD in Computer Science, Cognitive Neuroscience, Life Sciences, Engineering or a related field
• Minimum 3 - 5 years of hands-on experience in neuroimaging research, particularly in MRI/EEG/fNIRS data acquisition, postprocessing and analysis
• Proven expertise in MRI postprocessing pipelines, experience with other modalities (e.g., MEG, EEG, fNIRS, TMS) is an added advantage
• Proficiency in programming languages and tools relevant to neuroimaging (MATLAB/Python) is essential
• Familiarity with neuroimaging software packages such as S.P.M, CONN, BrainVoyager, EEGlab and NIRSlab
• Working knowledge of experiment design and stimulus presentation software such as PsychoPy, E-Prime or equivalent
• Experience in handling and analysing high-dimensional neuroimaging datasets with strong statistical and computational skills
• Demonstrated ability to work independently and collaboratively across disciplines in a research setting
• Excellent written and oral communication skills for reporting, documentation and scientific dissemination
• Ability to lead and manage multiple projects and deliver results under tight deadlines with attention to detail
• Strong interpersonal skills and a proactive attitude toward supporting researchers and mentoring junior team members
• Willingness to learn new imaging techniques and continuously upskill in emerging neuroimaging technologies
• Willingness to work across both NTU's main campus (EMB) and the Novena campus (CSB), depending on project requirements

We regret to inform that only shortlisted candidates will be notified.

Established in 2010, the Energy Research Institute @ NTU () is a pan-university research institute that focuses on systems-level research for tropical megacities. It performs translational research that covers the energy value chain from generation to innovative end-use solutions, motivated by industrialisation and deployment. has multiple Interdisciplinary Research Programmes which focus on translational Research, Development & Deployment which focus on specific area of the energy value chain, and a number of Living labs and Testbeds which facilitate large scale technology deployment enabling validation and demonstration of real-world applications.

For more details, please view

This joint research project is between Nanyang Technological University (NTU) and Imperial College Global Singapore (IGS). The objective of the research is to overcome the challenges related to the use of ammonia in solid oxide fuel cells (SOFCs) so that SOFCs can effectively use the energy potential of ammonia and maintain a high level of performance and durability in the long term.

We are looking for Research Fellow/Senior Research Fellow to perform the research activities in the project. The role will focus on development of direct ammonia solid oxide fuel cells.

Key Responsibilities:

• Literature review of SOFCs and the preparation methods
• Synthesis, fabricate and evaluate the performance of SOFCs using ammonia as a feedstock
• Perform material characterization of the SOFC cells
• Perform studies to understand the fundamental mechanism and reactions in the SOFCs
• Prepare reports and presentations for meetings, progress reports and conferences
• Any other tasks as requested by the Investigator

Job Requirements:

• PhD in engineering or relevant discipline
• Demonstrated strong knowledge in the field of solid oxide fuel cells with publications in scientific journals
• Preferably with experience in fabricating solid oxide fuel cell stack
• Able to work independently to achieve the research milestones and tasks given
• Good proficiency in English for research purposes

We regret to inform that only shortlisted candidates will be notified.

The Continental-NTU Corp Lab is a strategic research collaboration between NTU and Continental, focusing on developing technically advanced solutions in the areas such as sustainable materials engineering, artificial intelligence, advanced communications and cybersecurity capabilities for future urban mobility applications. We aim to develop innovative solutions that can be commercialized into products and services for Continental through close collaboration with its business units.

In this job opening, we are seeking a highly motivated and visionary researcher to join our team focused on heterogeneous integration and security of chiplet-based IC systems. This role involves research and development in chiplet-based architectures, aiming to demonstrate secure intelligent computing platforms outperforms traditional compute platforms. We invite applicants to join us as a Research Fellow or Senior Researcher (full-time). You will be part of the Continental-NTU Corporate Lab research team.

Key Responsibilities:

• Conduct cutting-edge research to hetero-design / chiplet-based systems, with a focus on security of components and interconnects across chiplets.
• Focus on new IC design concepts for embedded ARM and RISC-V architectures.

• Investigate various aspects of system design, including:

• Topology exploration, routing algorithms, protocol and flow control design

• Chiplet oriented and interposer design strategies, SiP and chiplet architecture
• Fault tolerance, robustness and reliability
• Functional / Cryptographic agility in hardware
• Prototype and design new architectural innovations, including chiplet oriented architectures and NoC (Network-on-Chip) enhancements with a focus on long-term security, integrated hardware security functions, hardware root-of-trusts (RoT) and cryptographic agility
• Knowledge and/or experience in using some of tools such as Xilinx Vivado, Cadence Virtuoso, Synopsys, etc.
• Contribute to long-term research strategy, white papers, and vision documents.
• Publish high-quality research in top-tier conferences and journals

Job Requirements:

• PhD or equivalent in Electrical Engineering, Computer Engineering, Computer Science, or a closely related field.
• Strong background in IC front-end design, interconnection networks and security architectures is a must.

• Demonstrated research expertise in one or more of the following areas:

• IC Front-end Design, Chiplet design, Heterogeneous Integration

• Cryptographic Hardware Engineering
• System-level modelling and simulation
• Proven publication record in relevant peer-reviewed venues.
• Excellent analytical, problem-solving, and system-level thinking skills.
• Strong verbal and written communication skills, and the ability to work both independently and collaboratively in a cross-disciplinary team

We regret that only shortlisted candidates will be notified.

Company description:

The National University of Singapore is the national research university of Singapore. Founded in 1905 as the Straits Settlements and the Federated Malay States Government Medical School, NUS is the oldest higher education institution in Singapore

Job description:

Job Description

The candidate will work at the Centre for Advanced 2D Materials (CA2DM) at the National University of Singapore (NUS) in a highly international and multidisciplinary environment with state-of-the-art equipment and facilities, contributing to exciting advances at the intersection of biochemistry, materials science, and sensor technology. is looking for a highly motivated and skilled Research Fellow (Senior Research Fellow) with a strong background in electrochemical sensor development. The ideal candidate will have expertise in sensor fabrication, analytical chemistry, and electrochemical techniques, with a focus on applications in biomedical diagnostics, including hormone detection and point-of-care systems. The position requires a proactive professional with a wide vision from the academy through the industries.

The key responsibilities include

• Design, fabricate, and characterize electrochemical sensors, including surface functionalization and performance testing (selectivity, sensitivity, reproducibility, and shelf life)
• Perform laboratory validation using appropriate analytical methods and tools
• Apply advanced electrochemical techniques such as Chronoamperometry (CA), Open Circuit Potential (OCP), Cyclic Voltammetry (CV), Differential Pulse Voltammetry (DPV), Square Wave Voltammetry (SWP), and Electrochemical Impedance Spectroscopy (EIS)
• Contribute to the development of sensors for hormone detection, with an emphasis on cortisol and related biomarkers
• Collaborate with multidisciplinary teams to integrate sensors into point-of-care diagnostic platforms
• Analyze and interpret experimental data, and prepare technical reports, publications, or presentations
• Utilize analytical methods (LC-MS, commercial assay kits) when appropriate and evaluate their performance in conjunction with custom sensor systems
• Assess sensor performance under real-world or simulated clinical conditions

Qualifications and Requirements

• Internationally-recognized PhD in Biotechnology, Chemistry, Biomedical Engineering, Materials Science, or a related field
• In-depth knowledge and proven hands-on experience in electrochemical sensor development and analytical method validation
• Strong background in analytical chemistry and electrodeposition techniques
• Familiarity with clinical biomarkers and diagnostic workflows
• Experience with hormone detection, particularly cortisol, is highly desirable
• Excellent analytical and communication skills, with the ability to work effectively in a collaborative, interdisciplinary environment
• Experience using commercial assay kits is a plus
• Knowledge of sensor deployment in real-life conditions is preferred
• Excellent chemical laboratory/safety practices
• Strong written and verbal communication skills in English
• Publication record in relevant peer-reviewed journals
• Knowledge of regulatory standards for diagnostic devices
• Previous experience working in translational research or industry setting

The position is available for one year with a possible extension to two years or more. The salary and position depend on previous experience and academic degrees.

More Information

Location: Kent Ridge Campus

Organization: Centre for Advanced 2D Materials

Department: Experimental Group

Job requisiton ID: 30306

Company description:

The National University of Singapore is the national research university of Singapore. Founded in 1905 as the Straits Settlements and the Federated Malay States Government Medical School, NUS is the oldest higher education institution in Singapore

Job description:

Job Description

The Yong Loo Lin School of Medicine (NUS) is recruiting a full-time Senior Research Fellow/ Research Fellow (1 year contract, renewable)

Purpose of the post

The National University of Singapore invites applications for Senior Research Fellow/ Research Fellow ( for the Metabolic Liver Disease Lab in the Department of Medicine, Yong Loo Lin School of Medicine. This role explores functional genomic methods to understand better the molecular mechanisms of metabolic dysfunction-associated fatty liver disease (MAFLD). The Post Doc Scientist will have the opportunity to collaborate with various teams across the School of Medicine, including pathologists, hepatologists, and data scientists. The candidate should demonstrate technical experimental excellence as well as the capacity to lead the research team regarding research projects aimed at producing clinically translational applications.

Job Description

• Assist PI incoordinating and leading multiple wet lab projects, proposing research directions and meeting key project milestones.
• Assist PI to facilitate research team development, optimization, and validation of in vitro mammalian cell based assays that are related to metabolic diseases (such us cell culture, RNA/protein extraction qPCR, western blotting and other metabolic-related assays)
• To perform other related duties, incidental to the work described herein (such as conduct data analysis, ensure the validity and reliability of data, maintain accurate and complete records of all findings, present findings to colleagues)
• Assist PI with writing for ethics/grant application.
• Assist PI with organising and publishing findings in high impact academic journals of good reputation.

Qualifications

• • A PhD with 3 years relevant post-doctoral experience.
• Understanding of the molecular/cellular basis of MAFLD, obesity and T2D, e.g., lipid metabolism dysregulation, insulin resistance, inflammatory pathways) are desired.
• Experience in handling 2D and 3D cell cultures such as hepatocytes, adipocytes or skeletal muscle cells is essential.
• Molecular Biology skills (RNA/protein extraction, qPCR, western blotting, IF) is essential.
• Cell line and clinical data multi-omics familiarity (e.g. transcriptomics, proteomics analysis) is a strong plus.
• Experience with gene perturbation tools, such as siRNA, shRNA and CRISPR/Cas9 is a strong plus.
• Experience working with murine models is a strong plus.
• Excellent writing, communication and presentation skills in English.
• Highly organized and skills in working independently and creatively to solve experimental problems within time constraints.
• Ability to oversee research directions for multiple projects and work in a multidisciplinary team.

Applicants should send the following documents by email to and please mention "Application for Senior Research Fellow -Metabolic Liver Disease Lab" in your email subject

Cover letter highlighting relevant experience and career goals

Curriculum Vitae, containing details of three named referees

A complete NUS Personal Data Consent for Job Applicants (the form is available at NUS Personal Data Consent for Job Applicants)

More Information

Location: Kent Ridge Campus

Organization: Yong Loo Lin School of Medicine

Department : Medicine

Employee Referral Eligible: No

Job requisition ID : 30222

The Lee Kong Chian School of Medicine (LKCMedicine) trains doctors who put patients at the centre of their exemplary care. The School, which offers both undergraduate and graduate programmes, is named after local philanthropist Tan Sri Dato Lee Kong Chian. Established in 2010 by Nanyang Technological University, Singapore, in partnership with Imperial College London, LKCMedicine aims to be a model for innovative medical education and a centre for transformative research. The School’s primary clinical partner is the National Healthcare Group, a leader in public healthcare recognised for the quality of its medical expertise, facilities and teaching. The School is transitioning to an NTU medical school ahead of the 2028 successful conclusion of the NTU-Imperial partnership to set up a Joint Medical School. In August 2024, we welcomed our first intake of the NTU MBBS programme, that has been recently enhanced to include themes like precision medicine and Artificial Intelligence (AI) in healthcare, with an expanded scope in the medical humanities. Graduates from the five-year undergraduate medical degree programme will have a strong understanding of the scientific basis of medicine, with an emphasis on technology, data science and the humanities.

The Research Institute for Cancer Prevention, Screening and Early Detection has recently been established at the Lee Kong Chian School of Medicine. It aims to be a leading Asian institution in clinical translational research and education for cancer prevention and early detection. The initial areas of research focus relate to precision cancer prevention including the development and validation of risk prediction models; and clinical implementation research of targeted screening and behavioural interventions to increase cancer screening relevant to an individual’s cancer risk profile. The Institute works closely with Primary Care and Family Medicine at LKC Medicine, given the Institute’s focus on the role of primary care in cancer prevention and detection.

Key Responsibilities:

Support the conduct of a feasibility study in primary care of using polygenic risk scores to tailor cancer screening.

Research, data analysis and interpretation

• Support the development of trial specific materials including genomic risk communication reports
• Support patient recruitment, delivery of interventions and follow-up of study participants
• Data collection, analysis and interpretation of quantitative and qualitative data
• Project management, ensuring study deliverables, reports and publications are completed punctually according to study and grant timelines
• Support the preparation of reports, presentation and manuscripts for publication in peer reviewed publication and lay statement

Administration

• Ensure all work processes met the ethical standards of the University, Singapore Good Clinical Practice Guidelines and other applicable regulatory and ethical requirements

Collaboration and communication

• Work effectively with key stakeholder groups, including patients, clinicians and clinic staff to achieve project and program outcomes
• Contribute to grants, manuscripts, reports, reviews, abstracts, posters and oral presentations with collaborators
• Assist in communications with institutional review board staff regarding ethics applications, amendments and reports
• Work collaboratively with Theme PI to develop and achieve research outputs

Key Competencies and Requirements:

• PhD degree in health services research, implementation science or a related discipline e.g. medicine, nursing, allied health, genetic counselling, public health, social sciences.
• Experience in health services or implementation research, preferably in primary care setting
• Design of research projects using a range of methods
• Competent in using software packages including Word, Excel, PowerPoint, statistical packages, NVivo
• Familiarity with primary care settings in Singapore and/or internationally

Leadership competencies:

• Ability to build rapport and influence stakeholders at all levels
• Ability to work collaboratively in a fast-paced environment.

We regret to inform that only shortlisted candidates will be notified.

Research Fellow position is immediately available at the Anti-microbial Resistance Research Laboratory located at Singapore General Hospital Singapore.

We are seeking a highly motivated postdoctoral researcher with experience in bacterial molecular biology, DNA/RNA sequencing and computational biology.  The successful candidate will lead research projects in computational pipeline for omics data from Genomics, Transcriptomics and Proteomics integrated with antibiotic pharmacodynamics data. This includes the genomic analysis of clinically relevant carbapenem-resistant bacteriastrains for clinical management.

In this position, the individual will participate in ongoing research projects, recommend and implement technical innovations to develop and drive the data analysis pipeline.  Innovative mindset, problem solving abilities, and interaction with other scientific staff are crucial traits in these staff.

Responsibilities:

· Apply advanced statistical and computational methods to analyse large dataset of genomics or antimicrobial resistance profiles.

· Develop and establish bioinformatics pipelines for transmission epidemiology and genetic context of relevant resistance genes.

· Drive and manage ongoing research projects.

Job Requirements:-

· PhD in relevant areas of computational biology, molecular biology, microbiology and pharmacology etc.

· Experience in Gram-negative bacteria transcriptomics, genomics sequencing and proteomics is a plus.

· Candidate experienced in computational software with advanced computer skills for data processing and statistical analysis.

· Contribute to grant writing, manuscript preparation and other dissemination activities such as presentations at local and international meetings.

· Excellent organization and communication skills, written and oral.

· Great team player.

Company description:

The National University of Singapore is the national research university of Singapore. Founded in 1905 as the Straits Settlements and the Federated Malay States Government Medical School, NUS is the oldest higher education institution in Singapore

Job description:

Job Description

We are looking for a capable and motivated Research Fellow to join our research on integrated photonics. This project aims to develop integrated optical transceiver components on emerging material platforms to meet growing AI-driven data demands. More specifically, we will develop high-speed modulators and frequency comb sources on the thin-film lithium niobate and lithium tantalate platforms.

This position will be hosted by Assistant Professor Di ZHU's group in the Department of Materials Science and Engineering at the National University of Singapore (NUS). Successful candidates will be involved in, but not limited to, the following activities:

• Design, fabricate, and measure integrated electro-optic and nonlinear optical device

• Assist in mentoring graduate students

• Regularly disseminate research results through reports, presentations, and manuscripts

Qualifications

• Ph.D. degree (completed or soon to be completed) in Physics, Applied Physics, Material Science and Engineering, Electrical Engineering, or other relevant areas

• Knowledge in optics and microwave engineering

• Experience in nano/micro-fabrication is highly desired

• Programming skills (e.g., Python, Matlab)

• Ability to work as a team and communicate effectively

More Information

Location: Kent Ridge Campus

Organization: College of Design and Engineering

Department : Materials Science and Engineering

Employee Referral Eligible: No

Job requisition ID : 30358