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

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

We regret that only shortlisted candidates will be notified.

Job Description

Research Engineer position in the Department of Materials Science and Engineering at National University of Singapore (NUS).

With a strong focus on industrial projects, we are developing our exciting technologies beyond the lab scale. We are seeking a talented and experienced individual with expertise in material chemistry and chemical engineering to join us.

As a Research Engineer, you will contribute to industry project focusing on scaling up our electro-metallurgical battery recycling technology from lab to pilot scale. Your major focus will be developing a process to synthesize precursor materials (pCAM) with extracted metals from spent battery materials.

• Lead pCAM synthesis processes at the R&D and pilot scale by working in collaboration with engineering team.
• Able to establish process design and synthesis rules to obtain precursors with optimal composition, interfacial properties, crystal structure, particle size, morphology, and electrochemical characteristics.

Qualifications

1. Bachelor or Master in Materials science and engineering, Chemical engineering, Material chemistry, or any relevant field.
2. Minimum of 2 yrs experience in MHP, pCAM synthesis (precipitation, crystallization).
3. Prior experience in process development and piloting new technologies is highly preferred.
4. Experience with material characterization techniques like SEM/EDS, ICP, XRD, FTIR.
5. Strong analytical skills and experience in data analysis and interpretation.
6. Highly motivated, detail-oriented, and able to work independently as well as part of a team in a fast-paced academic 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

One postdoc position is available at the Surface and Interface Lab in Prof. CHEN WEI’s group, National University of Singapore. The successful candidate will work with Prof CHEN Wei on Interface Engineering for artificial neuromorphic electronics under a project on “Interface Controlled 2D Devices and Solid-State Batteries".

This project aims to advance the field of photon-modulated organic electrochemical transistors (OECTs), with a particular focus on photon-modulated electrochemical doping systems for flexible OECTs. This research is critical for advancing OECT-based circuits in bioelectronics, wearable electronics, and artificial neuromorphic electronics (e.g., optoelectronic synapses). A postdoctoral researcher is sought to contribute to this cutting-edge research, which lies at the intersection of organic semiconductors, materials science, and electrochemistry. The successful candidate will engage in the synthesis of channel-layer materials, the investigation of photoresponsive mechanisms and interfacial electrochemical processes, as well as the development of flexible organic optoelectronic synapses for applications in physiological signal monitoring and related fields.

Qualifications / Discipline:

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

Skills:
- Excellent English writing and communication skill, team management skill (help PI to lead a small research team with 1-2 master students).
- Experience in synthesizing organic semiconductor materials and characterizing OECTs, complemented by a strong background in structural characterization techniques such as TEM, SEM, AFM, XRD, UV-Vis, and GC-MS.
- Proficiency in surface science techniques, including XPS, UPS, and NAP XPS, is required.
- Practical experience with electrochemical analysis techniques is necessary, along with the ability to proficiently operate a range of electrical testing equipment, including semiconductor parameter analyzers, cyclic voltammetry devices, and probe stations.
- Proficiency in EPR spectroscopy, with a focus on analyzing organic radicals involved in both electrochemical and photochemical processes. Additionally, experience in studying ions and their behavior in these reactions is required.
- A strong background in computational chemistry, including hands-on experience with density functional theory (DFT) calculations, and the capability to independently design and perform related tasks.

Experience:
- Proficiency in the fabrication processes of organic electrochemical transistors (OECTs) is essential, along with a comprehensive understanding of solid-state electrolytes, such as ionic liquid gels and hydrogels.
- Candidates should also have in-depth knowledge of organic radicals and their behavior in electrochemical environments, as well as extensive research experience in charge transfer mechanisms between organic molecules, with a focus on their roles in electrochemical and optoelectronic systems.

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

We are seeking a motivated and skilled Research Fellow to contribute to cutting-edge research in the field of phage biology, focusing on bacteria from the human microbiome under the guidance of A/Prof Yann Boucher at the Singapore Centre for Environmental Life Sciences Engineering (SCELSE). The candidate will lead experimental phage projects, design and execute research strategies, and play a pivotal role in advancing the understanding of bacteriophage dynamics in human and environmental microbiomes.

Key Responsibilities:

• Lead research projects focusing on phages targeting bacteria within the human microbiome.
• Develop, implement, and manage experimental plans under the guidance of the Principal Investigator.
• Conduct molecular microbiology experiments, analyze data, and troubleshoot experimental issues.
• Prepare progress reports, present findings in lab meetings, and contribute to research discussions.
• Write, edit, and submit high-quality manuscripts for peer-reviewed publication.

Qualifications

Education: Ph.D. in Molecular Microbiology, Microbial Ecology, or a closely related field, with a strong emphasis on phage research.

Technical Expertise:

• Hands-on experience in phage research, including phenotypic analysis, sequencing, and genomic studies.
• Proficiency in molecular microbiology techniques, such as DNA/RNA extraction, PCR, cloning, and bacterial culture.

Research Skills:

• Familiarity with experimental evolution studies and genomic taxonomy.
• Experience with bioinformatics tools for sequencing data analysis is an advantage.

Professional Attributes:

• Highly organized, detail-oriented, and capable of managing multiple projects.
• Demonstrates independent judgment, strong problem-solving skills, and the ability to deliver quality work within tight deadlines.
• Excellent teamwork and interpersonal skills, with the ability to collaborate effectively in a multidisciplinary research environment.

You will grow your career at NEA’s Environmental Health Institute (EHI), where you will design and conduct field and laboratory research to assess and mitigate bioaerosol exposure concerns in the built environment. Key areas of focus include bioaerosol science, indoor air quality, and environmental transmission of airborne diseases. You will contribute to the development of national environmental public health policies and work with stakeholders to translate scientific findings into policy and operations. As a member of the NEA/EHI family, you will have numerous opportunities for personal development, not only in science, but also in other areas such as leadership, management and communication.

Job Requirements:

• Excellent knowledge of bioaerosol and indoor air quality management. BLS2 and BSL3 trained is preferred.
• Experience in designing and leading lab experiments on bioaerosols and study various airborne microbiome (including sampling, laboratory analysis, and data analysis)
• Experience in data analysis/statistical analysis
• Possessing a valid Class 3 driver’s licence and willingness to drive NEA’ car to field sites is preferred
• Capacity for systems thinking and inclination for trans-disciplinary science
• Strong interest in public health research, policy, and operations
• Excellent organisational, analytical, communication, and interpersonal skills
• Able to multi-task and work independently in a fast-paced environment
• Open to developmental opportunities.

Applicants will be updated on the status of their applications within 4 weeks of the closing date of this job posting.

As part of the shortlisting process for this role, you may be required to complete a medical declaration and/or undergo further assessment.

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 successful candidate will work with Dr. Tian Chong on organic synthesis under a project on Bridging Chemistry and Biology: synthesis, structure, and properties of Mechanically Interlocked Peptides (MIPs).

The main responsibilities of the position include:

• Research tasks (90%): to carry out research to design and synthesize rotaxanes via novel active template strategies.
• Laboratory safety/ordering (10%): to aid in ordering and maintaining lab supplies, create and review standard operating procedures and risk assessments, assemble reagents, chemicals and media that are needed for experiments.

Qualifications

Qualifications / Discipline:

• PhD of Science required with major in Organic Chemistry. Candidate with strong background in organic synthesis and excellent record of publication is preferred.

Skills:

1. Have an excellent understanding of chemistry.
2. Have expertise in multi-step synthesis.
3. Communicate well in English in writing and in oral and visual presentations.
4. Show an ability to work supportively in a laboratory environment.

Experience:

• Experience in organic synthesis and spectroscopic techniques for compound characterization.

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 Fellow 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 Fellow will be responsible for working closely with the Principal Investigator to conduct research focused on improving the safety of large language models (LLMs) using explainable methods.

Only shortlisted candidates will be notified.

Job Requirements

• A PhD degree in Computer Science or related field
• Experience in research and good publication record
• Strong programming skills

We are looking for a motivated bioinformatics specialist who is keen on studying how microbes contribute to common skin diseases such as eczema and acne. Our lab is focused on leveraging new technologies to better study microbial populations and their impact on human health. We have extensive experience in metagenomic analysis in clinically or commercially important contexts such as uncovering distinct microbial communities in households affected by paediatric eczema (PMID: 35318044) and revealing the microbial basis of body odour in teenagers (PMID: 30497517). We are now focusing on applying various -omics capabilities to larger sized disease cohorts to understand how microbial pathways and biomarkers change with disease progression and treatment. The successful candidate will have the opportunity to work in a highly interdisciplinary environment, with unique access to next-generation sequencing technologies and a wide range of samples. Project findings will have direct applications to ongoing and new microbiome research projects in the lab, particularly in skin diseases.

The Nagarajan Lab is based in the Genome Institute of Singapore (GIS) which is the national flagship program for genomic sciences in Singapore with a mission to use genomics to improve public health and national prosperity. Singapore is a highly cosmopolitan city-state at the cross-roads of Asia with one of the highest standards of living in the world. The GIS provides an internationally competitive remuneration package and relocation assistance.

Requirements:

• Bachelors degree in Computational Biology, Computer Science, Data Science, or a related field.
• Strong analytical and programming skills (Python, R, UNIX environment etc).
• Familiarity with Bioinformatics tools for RNA seq analysis and pipeline building will be useful.
• Interest in exploring biological questions and some course work in statistics is preferable.

How To Apply: Please e-mail your curriculum vitae and contact details of referees to Niranjan Nagarajan ([email protected]) and Minghao Chia ([email protected])

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

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The Centre on Asia and Globalisation (CAG) at the Lee Kuan Yew School of Public Policy, National University of Singapore (NUS) invites applications for the position of Visiting Senior Research Fellow. This visiting appointment seeks candidates with an established academic record and an international reputation in the fields of economic, social, and political issues on China-India relations.

The candidate will contribute to extending and enhancing CAG’s research on China-India relations, including re-establishing workshops and dialogues on China-India relations. The successful candidate will also be working with the Asia Research Institute of NUS to prepare an Encyclopedia of China-India relations since antiquity.

The candidate will conduct independent, in-depth, and publishable research on issues in his/her expertise and contribute to the Centre’s agenda on international relations in general, and China-India relations in particular.

The candidate is expected to initiate and organize research projects, workshops, conferences, and other research events. S/he should be able to reach out to publishers and actively engage with academia, policy practitioners, and media and business leaders, as well as apply for external grants.

In addition, s/he is expected to play a role in coordinating with other researchers and contribute to the broader intellectual life of the centre.

Qualifications

• A distinguished academic record with a PhD in a relevant field.
• An international reputation for excellence in research on economic, social, and political issues on China-India relations.
• A strong publication record in books and reputable academic journals.
• Demonstrated ability to engage with diverse audiences and contribute to academic and public discourse.

A highly motivated postdoctoral research fellow is sought for Dr. Sampath’s laboratory in A*STAR Skin Research Labs, Singapore. This group focuses on exploring and developing RNA therapeutics for various epithelial disorders, including proinflammatory skin conditions and cancer. Delineating the underlying molecular mechanisms and visualizing these interactions, the objective is to identify specific targets and develop targeted therapeutics.

Key Responsibilities:

The successful candidate will work on a couple of these projects, which involves 1. Design and development of an innovative strategy (RNAi-based) for therapeutic intervention of the target gene. 2. Evaluate the efficacy of the pharmaceutical composition by in-vitro assays, ex vivo and in vivo model systems.

Job Requirements:

• PhD in Cell Biology or Molecular Biology
• At least one first-author publication in an international peer-reviewed journal
• Experience in RNA work advantageous.
• Highly motivated.
• Willingness and ability to develop new skills.
• Excellent oral, written communication and organizational skills.
• Ability to work independently as well as collaboratively in a team environment.

A highly motivated postdoctoral research fellow is sought for Dr. Sampath’s laboratory in A*STAR Skin Research Labs, Singapore. This group focuses on exploring and developing RNA therapeutics for various epithelial disorders, including proinflammatory skin conditions and cancer. Delineating the underlying molecular mechanisms and visualizing these interactions, the objective is to identify specific targets and develop targeted therapeutics.

Key Responsibilities:

The successful candidate will work on a couple of these projects, which involves 1. Design and development of an innovative strategy (RNAi-based) for therapeutic intervention of the target gene. 2. Evaluate the efficacy of the pharmaceutical composition by in-vitro assays, ex vivo and in vivo model systems.

Job Requirements:

• PhD in Cell Biology or Molecular Biology
• At least one first-author publication in an international peer-reviewed journal
• Experience in RNA work advantageous
• Highly motivated.
• Willingness and ability to develop new skills.
• Excellent oral, written communication and organizational skills.
• Ability to work independently as well as collaboratively in a team environment.

Primary Responsibility

•Defining requirements for exercise and health-tech projects.

•Assist in Project Management.

•Developing exercises for the elderly consumers.

•Developing health-tech product for elderly consumers.

•Perform data analytics for efficacy of intervention methods.

Secondary Responsibility

•Assist in designing and collaboration with sports science researchers.

•Assist in designing and collaboration with health-tech researchers.

Requirement

•Sports Science degree of diploma.

•Familiar with running projects and exercise programs. Preferably for elderly subjects.

•Must have interest in a total system development.

•Problem solving skillset is a must.

Benefits

•Work in a dynamic pace and product rich environment.

•Able to work with and experience best-of-breed software design and implement experts.

•Abundance of deep-tech learning experience.

Project Overview

The AMR IRG is an interdisciplinary community of biologists, engineers, and clinicians from MIT and Singapore, sharing a state-of-the art research facility and united by a commitment to providing a supportive intellectual environment where students and staff can learn, grow, and contribute to solving a pressing societal problem.

The objective of this project is to advance the field of RNA analysis by developing and implementing innovative analytical tools. These tools will be used in a comprehensive study of all forms of RNA -- the ribonucleome -- and the >170 RNA modifications -- the epitranscriptome -- in disease pathobiology, host-pathogen interactions, biomarker development, and therapeutic target discovery.

Responsibilities

The Research Engineer will plan and conduct experiments with the aim of studying the roles of RNA modifications in human immunue diseases. The candidate will work primarily on cell culture, RNA isolation, and chromatography-coupled mass spectrometry analysis. As part of this work, the candidate will prepare results for publication, be a liasion with the AMR IRG community, work with external collaborators, and develop strong experimental and communication skills.

Requirements

• B.S. or M.S. in biochemistry, molecular & cell biology, bioengineering, chemical engineering, or a related field.
• Experience in cell culture, RNA extraction, high-performance liquid chromatography or mass spectrometry are prefered. Strong proficiency in oral and written communication in English. Ability to work well with others and as part of a team.

To apply, please visit our website at: https://portal.smart.mit.edu/careers/career-opportunities

Interested applicants are invited to send in their full CV/resume, cover letter and list of three references (to include reference names and contact information). We regret that only shortlisted candidates will be notifie

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.

Research Fellow

We are seeking to recruit a Postdoctoral Fellow (Research Fellow). A person with background in molecular biology, cell culture, imaging and data analysis (including modelling and python programming) and has theoretical background on actin are encouraged to apply.

The MBI and NUS provide state-of-the-art facilities dedicated to microfluidics, high-resolution imaging, and cell culture that will support the fellow in training, setup, and execution of the project, and the successful candidate will have the opportunity to work closely with talented and motivated research staff, interdisciplinary PIs, and clinician scientists.

Qualifications

1. PhD in molecular cell biology or relevant biomedical disciplines. Candidates in the process of completing their PhDs in the relevant disciplines may also apply.
2. Competence in molecular biology, biochemistry, cell culture, and confocal microscopy.
3. Experiece in image analysis, photomanipulation and bioinformatics are highly desired.
4. Excellent communication and organizational skills
5. Highly motivated to work both independently and as a team member

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

We have openings for talented scientists who are ready to take up a leadership role in our group and to spearhead new initiatives and provide supervision and guidance to junior members of the team.

You will be part of a well-funded initiative to create quantum networks of superconducting circuits mediated by telecom photons. Your job could include the following subjects:

• Leading the design and fabrication of superconducting qubits that resist to moderate magnetic fields
• Spearheading the development and fabrication of chips that combine superconducting circuits and integrated photonics
• Exploring novel fabrication methods to couple rare-earth ions in solid-state with integrated optics and superconducting circuits
• Measuring quantum correlations between microwave photons at cryogenic temperature and telecom photons at room temperature

You will also work closely with the Principal Investigator to develop future experimental goals and shape the general research direction of the group. There will also be ample opportunity to explore your own ideas and participate in grant-writing processes. We aim to provide you a challenging and supportive environment to perfect your research leadership skills and get ready for your next career step!

ABOUT THE GROUP

Qove Laboratory is led by Assistant Professor Steven Touzard and located at the National University of Singapore. The lab is funded by the prestigious NRF Fellowship. Our group works on a large range of quantum technologies, with currently an emphasis on remotely entangling superconducting qubits with telecom photons to form long-range quantum networks.

To know more, go to https://qovelab.com

Qualifications

Postdoc applicants should have proven research experience and have a strong interest in quantum technologies. Furthermore, a PhD in Experimental Physics or Engineering is required, as well as knowledge on quantum optics measurement, optical fiber equipment, as well as cryogenic equipment. Ideally you received your PhD working on superconducting circuits, spin defects in solid-state, integrated optics or quantum optics experiments.

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

We are looking for a research fellow for the project on ultraprecision fabrication of functional components with additive manufacturing and micro-scale surface treatment. The candidate is required to conduct design and manufacture of the bespoke fixtures and tooling for post-processing of the 3D-printed geometries to meet the industrial requirements. He/she will also be responsible for reporting and coordinating with our stakeholders and writing technical papers.

Qualifications

Interested applicants are required to possess a PhD degree. He/she should have a good understanding in

1. Ultraprecision machining technology with excellent hands-on experience;
2. A solid background of micro-/nano-scale material removal processes and mechanisms with a good track record of publications;
3. Experienced in metal additive manufacturing and its post-processing methods; and
4. Mechanical and non-mechanical surface treatment and finishing techniques.

Contract Period:

• 2 Jan 2025 to 31 Dec 2025 (12 Months) + 1 Year Optional renewal by school.

Deployment:

• Mondays to Fridays: 8.30am to 2:00pm, inclusive of 0.5hr lunch break
• Service not required on Saturdays, Sundays and gazetted public holidays

Scope of Works:

1. Assist teachers in the preparation of teaching and learning resources and specimens needed.
2. Assist in the preparation of resources for science practical examinations.
3. Maintain all live specimens and laboratory equipment.
4. Conduct periodic stock-taking on laboratory supplies in science laboratory and advise Science HOD / LH on stock level
5. Conduct daily cleaning of the Life Science and Physical Science laboratories.

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

We are looking for a Research Fellow who will be responsible for designing and implementing next generation communication and networking technologies and protocols.

Responsibilities:

• Design and develop communication and networking protocols related to resource allocation, channel access, security related protocols for 5G/6G environments;
• Perform analysis and simulations to validate designs;
• Assists with the editing and preparation of manuscripts, reports and presentations;
• Participate in presentations and demos for exhibiting work at appropriate events

Qualifications

Requirements

• PhD in Electrical Engineering, Computer Science or a related field;
• Programming experience and knowledge of machine learning would be a plus;
• Possesses research background with ability to read and understand methodologies in research papers;
• A good team-player;
• 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

This position focuses on the deep learning inspired understanding of the responses of slopes to extreme draught-heavy rainfall climate. The selected Research Fellow is required to:

• Investigate the coupled multi-phase responses of slopes.
• Unveil the responses of slopes under periodic extreme drought-heavy rainfall.

Job Requirements

• Possess a PhD degree with related job experience.
• Having physical modelling experience.
• Good at coupled multi-physics modelling.
• Good written and spoken communication and able to present results.
• 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

Research Fellow position is open in the research group of Assistant Professor Zhao Lin, at the Department of Electrical and Computer Engineering, National University of Singapore (NUS).

The Research Fellow will work closely with the Principal Investigator (PI) on theories and applications of learning-based control. The project will investigate and develop both deep reinforcement learning algorithms and conventional robust adaptive control methods, to develop safety-critical learning-based control algorithms that leverage the advantages of both model-based and model-free methods. In particular, the developed algorithms will be demonstrated through robust control of drones.

The initial appointment duration is 12 months, which can then be extended based on an evaluation at the end of the initial appointment.

The candidates will be responsible for conducting theoretical research and algorithm development. The candidates are expected to help the PI supervise junior PhD students as well.

The candidates should have a Ph.D. degree from a reputable university, with expertise in robust adaptive control, reinforcement learning theory, collision-avoidance trajectory optimization, etc.

A successful candidate should have a solid mathematical background (such as in calculus, linear algebra, optimization, etc.). Strong publication records in leading journals and conferences are required.

Qualifications

• Possess a Ph.D. Degree in either Electrical Engineering or strictly related (e.g., Mathematics, Computer, Communication, Mechanical, or Information Engineering).
• Have substantial research experiences in robust adaptive control, reinforcement learning, learning-based control, model predictive control, etc.
• Possess a strong academic record proved through coursework (especially math-intensive courses) and projects during his/her undergraduate and doctoral studies.
• Strong publication records in leading journals and conferences are highly valued
• Excellent communication skills as he/she is required to publish and present results at conferences and journals independently.
• Have well-established analytical and problem-solving skills, as documented by publications that are relevant to the field of reinforcement learning and control for robotics applications.
• Activity performed in world-class research environments is highly valued.

HYCOMBS Project is seeking a highly motivated and talented Research Fellow to join the project, a research initiative focused on advancing combustion science and technology for gas turbines and internal combustion engines in Singapore.

The successful candidate will be based in Singapore and contribute to Work Package 2.1, “Laminar H2/NH3 flames”, led by Dr. Ducruix and Dr. Minesi.

HYCOMBS PROJECT

HYCOMBS: Hydrogen and Ammonia Combustion in Singapore

In the future, Singapore may be importing renewable energy in the form of hydrogen (H2) or ammonia (NH3). These zero-carbon fuels will require the development of new gas turbines (GTs) and internal combustion engines (ICE) used in power generation, aviation, and maritime propulsion.

This project focuses on the combustion fundamentals of hydrogen, ammonia, their blends, and their blends with hydrocarbon fuels. The knowledge acquired in HYCOMBS will enable the penetration of zero-carbon fuels in the Singapore energy system and this will benefit Singaporean industries and residents.

Read more about the HYCOMBS project here.

DESCRIPTION

The HYCOMB project aims to develop a deeper understanding of hydrogen/ammonia combustion phenomena and improve the efficiency, stability, and environmental sustainability of gas turbines and internal combustion engines. As a Postdoctoral Researcher in WP2.1, you will play a key role in deploying advanced diagnostics to study laminar H2/NH3 flames, a crucial step towards understanding combustion instability and pollutant formation.

Responsibilities

• Design, develop, and operate a burner for laminar flame experiments, compatible with high-frequency diagnostics
• Conduct experiments on steady and pulsated laminar H2/NH3 flames using spontaneous emission of radicals (OH*, NH*) and laser absorption spectroscopy of stable species (NH3, H2O, N2O)
• Modulate injection conditions to induce controlled fluctuations of velocity, which will drive the oscillation of heat release, pollutant formation, and other quantities of interest
• Measure local flow conditions using Particle Image Velocimetry (PIV) to correlate flame behavior with flow strain
• Collaborate with other partners to implement laser absorption spectroscopy in other rigs and validate kinetic schemes and simulations (WP1)
• Contribute to the development of laser absorption spectroscopy diagnostics for online detection of combustion efficiency, ammonia slip, and N2O pollutant emissions

EXPERIENCE & QUALIFICATIONS

Requirements

• Ph.D. in Combustion Science, Physics, Chemistry, or a related field
• Strong background in experimental combustion, flame diagnostics, and data analysis
• Experience with optical diagnostics (ideally laser-induced fluorescence and absorption spectroscopy, but not required)
• Excellent communication and teamwork skills, with the ability to collaborate with international partners
• Fluency in English (written and spoken)

Desirable Qualifications

• Knowledge of combustion kinetics and modeling
• Experience with particle image velocimetry (PIV) or other flow measurement techniques

FURTHER INFORMATION & CONTACT

Salary range: SGD 6,900 – SGD 10,000 (depending on suitability and experience)

• A 3-year postdoctoral research position
• Visit in laboratoire EM2C (France) for a training on optical diagnostics
• The opportunity to work on a cutting-edge, interdisciplinary project with international partners
• Access to state-of-the-art experimental facilities and diagnostics in Singapore
• Collaboration with leading researchers in the field of combustion science
• Opportunities for professional growth, networking, and publication in top-tier journals

Workplace address: The applicant will be a CNRS@CREATE appointee (CREATE Campus, CREATE Tower, 1 Create Way #08-01 Singapore 138602), and work on CREATE Campus.

To apply, please submit your CV, a cover letter outlining your research experience, and contact information for two academic references. Applications will be reviewed until the position is filled: [email protected] and [email protected]

Job Description:

We are seeking a highly skilled and motivated Research Officer specializing in AI and spatial multi-omics to join our cutting-edge research team. This role focuses on advancing cancer immunotherapy (IO) for Asian-prevalent tumors through the integration of Generative AI techniques and spatial multi-omics data analysis. This position offers a unique opportunity to address critical challenges in immunotherapy, such as the identification of effective biomarkers and an in-depth understanding of the tumor microenvironment.

Key Responsibilities:

1. Multi-Omics-IO Classifier Development: Develop and validate a classifier to integrate IO biomarkers identified from the multi-omics analyses, benchmarked against conventional markers (e.g., PD-1/PD-L1).

2. AI Model Development: Create AI models for virtual staining to visualize gene expression and multi-omics biomarkers.

3. Collaboration & Reporting: Collaborate with pathologists, immunologists, and AI researchers to ensure robust, clinically relevant model development. Prepare reports, presentations, and manuscripts for publication.

Requirements:

• Bachelor degree in AI/ML, or a related field with a strong focus on imaging and deep learning.
• Technical Skills: Expertise in AI techniques and experience in omics data analysis.
• Strong programming skills in Python or R, with experience in deep learning frameworks (e.g., PyTorch, TensorFlow).
• Domain Knowledge: Familiarity with cancer immunotherapy and biomarker development.
• Analytical Skills: Proven experience in developing and evaluating complex machine learning models, especially for biomarker discovery and clinical applications.
• Collaboration & Communication: Excellent interpersonal and communication skills to work effectively within a multidisciplinary team of scientists, clinicians, and technical staff.
• Preferably with experience with virtual staining, explainable AI, and histopathological analysis. A track record of publications in high-impact journals and presentations at scientific conferences. Prior experience in developing and applying AI models in healthcare or clinical settings is a plus.

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

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The 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 Machine Learning and Security.

Only shortlisted candidates will be notified.

Job Requirements

• A Bachelor’s degree with Honours in a relevant area; and
• Experience in research
• Excellent programming skills

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

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

We regret that only shortlisted candidates will be notified.

Job Description

Join our physician-led cutting-edge metabolomics lab as a Bioinformatics Expert and help us make an impact in the world of precision medicine.

We are a dynamic research lab at the forefront of metabolomics, dedicated to advancing knowledge in metabolic pathways, biomarker discovery, and personalized healthcare. Our interdisciplinary team collaborates with both Singapore based and global institutions. We offer opportunity to work on innovative projects with a collaborative team and a patient-centric focus with access to state-of-the-art facilities and resources.

Main Duties and Responsibilities

Key Responsibilities:

• Develop and implement data extract, transform, and load (ETL) pipelines for metabolomics data (mainly LC-MS/MS based metabolomics).
• Perform data integration from multi-omics platforms (genomics, transcriptomics, proteomics).
• Apply statistical and machine learning techniques (preferably explainable models) for biomarker discovery in large clinical dataset.
• Maintain and update databases and in-house analytical tools for metabolite identification and pathway analysis.
• Lead or significantly contribute to successful collaboration in clinical cohort research.
• Derive clinically actionable insights from data patterns.
• Collaborate with biologists, chemists, and clinicians to interpret results and publish findings.

Admin:

• Assist the professor in writing grants & manuscripts for higher impact journals.
• Assist with ethics submissions.
• Attend meetings with the primary investigator and team members.
• Liaise with multi-national collaborators for commercialization and validation of our discoveries.

Qualifications

The applicant Must:

• Ph.D. or Master’s in Bioinformatics, Computational Biology, or related field.
• Proficiency in R, Python, and/or bioinformatics tools for metabolomics.
• Ability to build custom applets/scripts for data analysis.
• Ability to thoroughly explore large data sets (up to ~PB scale), derive hypotheses, and adjust analysis dynamically.
• Experience in database query (e.g. KEGG, Ensemble, HMDB, wikipathway).
• Awareness of data standards for clinical research and statistical analysis (e.g. EQUATOR Network)
• Strong analytical and communication skills.
• Experience in and/or knowledge of medical data, clinical processes or trials
• Experience in constructing clinical risk prediction models for biomarker research will be a plus.
• Experience in translating conceptual algorithms to implementable code will be a plus.
• At least 2 years of relevant research experience and prior publications will be preferred.

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 Fellow in the Department of Computer Science, School of Computing (SoC). SoC 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 Fellow will work to develop secure, isolated hardware platforms (for small, IoT-style systems) while maintaining efficiency and performance. This is done through the development of novel designs that enable isolation and security, even in the presence of shared hardware resources. He/she should possess experience or interest in at least one of the following research areas:

• Hardware and Systems Security
• Computer Architecture
• Energy Efficient SoC Design
• Simulation Methodologies (Cycle-level Microarchitecture Simulation)

Qualifications

• A PhD degree in a relevant area
• Good publication record
• 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 the position of Research Associate in the Department of Computer Science, School of Computing (SoC). 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 largescale experimental systems and improving the wellbeing 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 Associate will be responsible for working closely with the Principal Investigator on one or more research projects. He/she should possess relevant experience in Machine Learning and Security.

Only shortlisted candidates will be notified.

Job Requirements

• Master’s degree in Computer Science or related field
• At least 2 years of research experience
• Excellent programming skills