Who are we?

We are the University of Cambridge presence in Singapore called Cambridge CARES, sponsored by the NRF CREATE program CAM.CREATE. CARES also hosts industry-funded and other agencies funded projects. Our team is comprised of world-class scientists and engineers working in a vibrant, fast-paced environment with great opportunities forknowledge and skills development.

CARES is leading a new project “Sustainable Manufacture of Molecules and Materials (SM3)”, funded by NRF CREATE programme within the Decarbonisation Grand Challenge. SM3project is a collaboration with NTU, NUS, CARES & the University of Cambridge and EPFL. The broad aim of the project is to develop novel approaches and technologies for fully de-fossilised routes to complex functional molecules and molecular materials. The project will explore novel chemical transformations for conversion of net-zero feedstocks to building blocks typically used in pharma, agrochem and other end applications. The project will also explore novel synthetic methods for conversion of the building blocks into end-use functional molecules. Novel synthesis technologies (photoelectrochemistry, sonochemistry, mechanochemistry, etc), as well as advanced research methods (AI, chemoinformatics, high-throughput synthesis) and process metrics (LCA and technoeconomic analysis) are included in this large project.

Who are we looking for?

The Gaunt group are looking for passionate and creative scientist to join our team as postdoctoral researchers in synthetic chemistry based in Cambridge Centre for Advanced Research and Education in Singapore, and closely integrated with the Gaunt group @ the University of Cambridge. The successful candidate will join the dynamic and collaborative research group of Professor Matthew Gaunt, working at the forefront of cutting-edge synthetic methodologies and their applications (https://www.thegauntgroup.com/).

The synthetic chemist at CARES will be supervised by Prof. Gaunt and will join a “Synthesis Team” of the larger SM3 project, which will involve close collaboration with Profs. Ming Joo KOH (NUS) and Shunsuke CHIBA (NTU). The “Synthesis Team” will be supported by the “AI team”, co-led by Profs. Philippe Schwaller (EPFL), Alexei Lapkin and Markus Kraft (Cambridge/CARES).

Position Overview: As a postdoctoral researcher, you will be involved in designing and developing catalytic activation modes that lead to new synthetic transformations. Synthetic chemists are uniquely placed to leverage catalytic systems to design reactions that control structure and function at a molecular level in all types of bioactive complex molecules. We are looking for experts in synthetic chemistry who are interested in taking on new challenges and exploiting their experience to explore new areas of catalyst-controlled reactivity that lead to an expansion of accessible chemical space.

What skills do you have?

We are looking for passionate and creative scientists to work as part of a collaborative team. Excellent organisational and interpersonal skills are required to ensure success in liaising with a large and diverse research team. Essential requirements include: Ph.D. in Organic Chemistry, Strong background in synthetic organic chemistry, and Demonstrated track record of high-quality research.

When is the position available and for how long?

The position is available from January 2025 for 1 year in the first instance and up to 4 years in total.

What can we offer you?

· A stimulating working-environment with friendly, highly motivated colleagues.

· Opportunities to develop and implement new ideas in a creative environment.

· A competitive salary in line with your skills and experience.

· A one-year contract in the first instance, extendable following satisfactory performance.

· A comprehensive medical insurance cover as part of your employment.

Please apply by uploading your CV and academic transcript to https://jobs.swagapp.com/jobs/cambridge-cares-research-fellow-chemist-synthetic-chemistry-for-sm3-mg. Please note that this post is mainly based in the CREATE Tower at NUS University Town, Singapore. Informal enquiries could be sent to the academic lead of the project: Prof. Matthew Gaunt ([email protected]).

Who are we?

We are the University of Cambridge presence in Singapore called Cambridge CARES, sponsored by the NRF CREATE program CAM.CREATE. CARES also hosts industry-funded and other agencies funded projects. Our team is comprised of world-class scientists and engineers working in a vibrant, fast-paced environment with great opportunities forknowledge and skills development.

CARES is leading a new project “Sustainable Manufacture of Molecules and Materials (SM3)”, funded by NRF CREATE programme within the Decarbonisation Grand Challenge. SM3project is a collaboration with NTU, NUS, CARES & the University of Cambridge and EPFL. The broad aim of the project is to develop novel approaches and technologies for fully de-fossilised routes to complex functional molecules and molecular materials. The project will explore novel chemical transformations for conversion of net-zero feedstocks to building blocks typically used in pharma, agrochem and other end applications. The project will also explore novel synthetic methods for conversion of the building blocks into end-use functional molecules. Novel synthesis technologies (photoelectrochemistry, sonochemistry, mechanochemistry, etc), as well as advanced research methods (AI, chemoinformatics, high-throughput synthesis) and process metrics (LCA and technoeconomic analysis) are included in this large project.

Who are we looking for?

We are looking to fill a vacancy of a Research Fellow with a PhD in a relevant field of Computer Science / Chemical Engineering / Chemistry, who combines strong ML/AI expertise with chemical knowledge.

What skills do you have?

The ideal candidate should be skilled in Python programming, experienced with LLMs and chemical reaction databases, and capable of handling reaction data analysis. They should be able to work across disciplines and have a track record of published research.

When is position available and for how long?

The position is available from January 2025 for 1 year in the first instance and up to 4 years in total.

What can we offer you?

· A stimulating working-environment with friendly, highly motivated colleagues.

· Close interaction with the home group of lead academic at EPFL

· Opportunities to develop and implement new ideas in a creative environment.

· A competitive salary in line with your skills and experience.

· A one-year contract in the first instance, extendable following satisfactory performance.

· A comprehensive medical insurance cover as part of your employment.

Please apply by uploading your CV and academic transcript to https://jobs.swagapp.com/jobs/cambridge-cares-research-fellow-data-scientist-chemical-engineering-for-sm3-ps. Please note that this post is mainly based in the CREATE Tower at NUS University Town, Singapore. Informal enquiries could be sent to the academic lead of the project: Professor Philippe Schwaller ([email protected]).

Who are we?

We are the University of Cambridge’s presence in Singapore, Cambridge CARES. Our activities are sponsored by the National Research Foundation’s CREATE programme. Our first research programme, the Cambridge Centre for Carbon Reduction in Chemical Technology (C4T), is a collaboration between the University of Cambridge, Nanyang Technological University and the National University of Singapore.

Our team is comprised of world-class scientists and engineers working in a vibrant, fast-paced environment with great opportunities for knowledge and skills development.

The project:

In the context of the multi-partner project HYCOMBS (https://www.cares.cam.ac.uk/research/hycombs/), which is part of Singapore’s CREATE investment in Decarbonisation (https://www.nrf.gov.sg/files/Media_Release_CREATE_Decarbonisation_Challenge_with_ANNEX_A__B_final.pdf), a large number of positions have become available to research hydrogen and ammonia combustion.

The project is a collaborative effort between CARES, CNRS, NTU, NUS, NTNU (National Technical University of Norway) and Tohoku University (Japan). All the positions are held in Singapore and will normally last 2 years in the first instance, with the possibility to extend if funding is available. The successful candidate will be working under the academic supervision of one of the project’s partners depending on the particular skills and interests of the researcher. Short stays in Japan, France and Norway for working in the partner laboratories are envisaged for some of these positions. In the first instance, your application will be reviewed by CARES and re-directed to the appropriate institution and Primary Investigator.

CARES: www.cares.cam.ac.uk

Tohuku University: https://www.ifs.tohoku.ac.jp/eng/

CNRS: https://www.cnrsatcreate.cnrs.fr/

NTNU: https://www.ntnu.edu/ept

NUS: https://cde.nus.edu.sg/me/

NTU: https://www.ntu.edu.sg/mae

Who are we looking for?

We are seeking highly motivated combustion researchers to work in the following areas:

1) Kinetics: (i) Experiments with flow reactors and laminar flames. The successful applicant will be skilled in analytical combustion chemistry systems such as gas chromatography and laser detection; (ii) Development of detailed and reduced chemical mechanisms. Experience in combustion chemistry modelling is needed.

2) Laminar and turbulent flame fundamentals: (i) Experiments with laminar pulsed and turbulent swirl flames. Skills in flame rig design, laser diagnostics and optical methods for flames are needed. (ii) Modelling with combustion Computational Fluid Dynamics (DNS, LES), with experience in the fundamentals of turbulent combustion, CFD and massively-parallel computations.

3) High-pressure combustion: Experiments and simulations for reciprocating engines and gas turbines. For the experimental positions, the successful candidate must be skilled in optical diagnostics, engine combustion, swirl combustion, fluids handling and data analysis. For the modelling positions, experience in CFD of engines or gas turbine combustors is a prerequisite.

4) Detonations and ignition risk analysis with CFD. The position involves high-order CFD methods for capturing detonations and turbulent flow analysis for ignition. The successful candidate must be experienced with CFD.

What skills will you need?

All positions require a PhD or equivalent research experience in a combustion topic relevant to the above areas, strong motivation to work in a multi-national collaborative team, and extensive experience with report writing, journal publications, and presentations to academic and industrial settings. Connections with industry are part of the project so the researchers will have the opportunity to collaborate with industrial R&D. The experimental positions need strict adherence to Health & Safety protocols and experience in developing experimental facilities at a professional level.

What can we offer you?

· A stimulating working environment with friendly, highly motivated colleagues

· A competitive salary in line with your skills and experience

· Comprehensive medical insurance coverage as part of your employment

Please note this post is mainly based in the CREATE Tower at NUS University Town, Singapore.

How to apply?

Please apply by uploading your CV and academic transcript to https://jobs.swagapp.com/jobs/cambridge-cares-research-fellow-mechanicalchemical-engineer-for-hycombs. If you have any questions, please feel free to reach out to the HR team at [email protected].

Sequential has developed the world’s first at-home skin test, that deeply analyses your skin genetics and skin microbiome. Giving you a complete picture of what you’re born with (genetics) and the environment you are in (the microbiome). https://www.sequentialskin.com/.

We have a great opportunity for a laboratory technician role to join Sequential team.The core functions of this role are to assist in the daily operation of our Molecular Biology team. These functions include performing accurate molecular-based testing, develop and validate molecualr assays.

Key duties include:

• Assist in conducting laboratory experiments related to skin microbiome analysis, including sample collection, DNA extraction, and microbial culture.
• Support senior researchers in performing molecular techniques such as qPCR, DNA sequencing, and microbiome analysis.
• Help in managing and maintaining laboratory equipment and inventory.
• Contribute to data collection, organization, and initial analysis.
• Maintain accurate and detailed laboratory records.
• Provide support in preparing reports, documentation, and presentations.
• Stay updated on basic microbiome and molecular biology techniques.

Qualifications:

• Diploma or Bachelor’s degree in Microbiology, Biotechnology, Molecular Biology, or a related field.
• Familiarity with basic laboratory techniques such as pipetting, sample handling, and microbiology protocols.
• Strong organizational skills and attention to detail.
• Eagerness to learn and work in a team-oriented environment.
• Basic computer skills for data entry and record-keeping.

Experience

• Hands-on experience on performing DNA-based test, e.g. DNA extraction, PCR and qPCR.
• Practical knowledge of basic microbiological handling techniques is highly preferred.

Attributes

• Aseptic techniques to avoid the potential for contamination are a must.
• Good time management skills are a must, in order to keep up with the pace of a busy production environment.
• Proven ability to work efficiently without close supervision.
• Act with integrity at all times and maintain a high standard of work.
• Willing to learn and have a “can-do attitude”.
• Able to take initiative, and work in a fair and responsible way.
• Can communicate clearly and effectively across multiple teams.

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 Assistant Professor Andrea Phua’s lab on a range of projects, primarily “ Investigating a transcriptional role of primary cilia in striatal neural computation mediating cognitive flexibility”.

The main responsibilities of the position include:

• Performing confocal fluorescence microscopy experiments
• Conducting computational image processing and analyses
• Establishing and executing technical workflows for brain tissue processing in visualizing spatial protein and gene localization

Qualifications

The candidate should hold a Bachelor’s or Master’s degree in Bioengineering, Biomedical engineering, Biochemical Engineering or a related field.

Skills:

• Strong interest in neuroscience research, with motivation to pursue further academic training in the field
• Excellent time and resource management skills
• Excellent written and interpersonal communication skills
• Ability to work well with interdisciplinary colleagues

Experience:

• Demonstrated track record in confocal fluorescence microscopy and associated super-resolution techniques
• Proficient in image processing techniques (e.g. deconvolution, denoising) to enhance image resolution and quality for visualization and quantification
• Experience in implementing machine learning techniques for automated detection and quantification of events in microscopy images is required
• Familiarity with immunofluorescence and RNA-FISH techniques
• A good foundation in biostatistics, with the ability to apply statistical methods to analyze experimental data will be necessary
• Some experience in microfluidic device fabrication will be a plus

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 researcher position is available to carry out world-class research on developing flexible electronic materials and devices. The research works include the preparation and characterization of flexible and devices, data analysis, preparation of technical reports and manuscripts, and supervising junior researchers.

Qualifications

The successful candidate is expected to possess a PhD degree in materials science and engineering or related discipline. The candidate should have solid knowledge and research achievements inpolymer electronics. He/she should have hand-on research experience in the preparation and characterization of conductive polymers or semiconductive polymers.

Research Engineer

As part of National Semiconductor Translation and Innovation Center (NSTIC), the candidate will be involved in the photonic device fabrication based on Silicon-based material platforms (Silicon-on-Insulator, Silicon Nitride, Germanium (Ge), and SiGe), Lithium Niobate, and III-V semiconductor materials. The candidate will work closely with multidisciplinary team with diverse expertise.

Responsibilities

• Develop, design, and optimize integration flow for Silicon Nitride-based and Lithium Niobate-based photonic devices, including lithography, etching, deep-trench, and dicing.
• Design of experiments (DOE) for different process integration flows.
• Liaise between design, fabrication, and testing teams to ensure smooth process integration and device fabrication.
• Metrology, data analysis, and documentation
• Present and discuss experimental data to the team

Qualifications

• Degree in Electronics Engineering, Microelectronics, Physics, or equivalent.
• Experiences in semiconductor industry, preferably in silicon photonic processes.
• Good critical thinking and problem-solving ability.
• Able to work with cross-functional team, with good communication/presentation skill.
• Able to work in a fast-paced and collaborative environment

Research Engineer

As part of National Semiconductor Translation and Innovation Center (NSTIC), the candidate will be involved in the development of heterogeneous integration process for realizing multi-functional photonic devices. The candidate will work closely with multidisciplinary team with diverse expertise.

Responsibilities

• Develop, design, and optimize die-to-wafer bonding process employing III-V semiconductor material, Lithium Niobate on Insulator (LNOI), and Si-based material platforms.
• Design of experiments (DOE) for various Die-to-Wafer (D2W) bonding methodologies.
• Liaise between design, fabrication, and testing teams to ensure smooth process integration and device fabrication.
• Metrology, data analysis, and documentation
• Present and discuss experimental data to the team

Qualifications

• Degree in Electronics Engineering, Microelectronics, Physics, or equivalent.
• Experience in semiconductor industry is preferred. Those with strong familiarity with wafer-to-wafer and die-to-wafer bonding process may be considered for a senior position.
• Good critical thinking and problem-solving ability.
• Able to work with cross-functional team, with good communication/presentation skill.
• Able to work in a fast-paced and collaborative environment

Research Engineer

As part of National Semiconductor Translation and Innovation Center (NSTIC), the candidate will be involved in the development of heterogeneous integration process for realizing multi-functional photonic devices. The candidate will work closely with multidisciplinary team with diverse expertise.

Responsibilities

• Develop, design, and optimize die-to-wafer bonding process employing III-V semiconductor material, Lithium Niobate on Insulator (LNOI), and Si-based material platforms.
• Design of experiments (DOE) for various Die-to-Wafer (D2W) bonding methodologies.
• Liaise between design, fabrication, and testing teams to ensure smooth process integration and device fabrication.
• Metrology, data analysis, and documentation
• Present and discuss experimental data to the team

Qualifications

• Degree in Electronics Engineering, Microelectronics, Physics, or equivalent.
• Experience in semiconductor industry is preferred. Those with strong familiarity with wafer-to-wafer and die-to-wafer bonding process may be considered for a senior position.
• Good critical thinking and problem-solving ability.
• Able to work with cross-functional team, with good communication/presentation skill.
• Able to work in a fast-paced and collaborative 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 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.

A Research Assistant position is available in the Single-Molecule Biophysics Lab at the Mechanobiology Institute. The Research Assistant will assist in the research of the team by contributing to building and maintaining magnetic tweezers instruments and training other group members to use them. He or she will also share the workload of single-molecule manipulation experiments. Primary responsibilities will include:

• Building, testing, and maintaining magnetic tweezers instrument
• Share workload on single-molecule studies of mechanosensing proteins

Qualifications

1. Minimal Bachelor’s degree, college background in Physics;
2. Capable of building fluorescence microscopes independently;
3. Extensive undergraduate research experience related microscope building and optics.
4. Skillful in Labview and MatLab programming.
5. Skillful in imaging analysis and imaging correlation analysis.
6. Experiences in DNA and protein biochemistry as well as single-molecule manipulation

Research Engineer

As part of National Semiconductor Translation and Innovation Center (NSTIC), the candidate will be involved in the photonic device fabrication based on Silicon-based material platforms (Silicon-on-Insulator, Silicon Nitride, Germanium (Ge), and SiGe), Lithium Niobate, and III-V semiconductor materials. The candidate will work closely with multidisciplinary team with diverse expertise.

Responsibilities

• Develop, design, and optimize integration flow for Silicon Nitride-based and Lithium Niobate-based photonic devices, including lithography, etching, deep-trench, and dicing.
• Design of experiments (DOE) for different process integration flows.
• Liaise between design, fabrication, and testing teams to ensure smooth process integration and device fabrication.
• Metrology, data analysis, and documentation
• Present and discuss experimental data to the team

Qualifications

• Degree in Electronics Engineering, Microelectronics, Physics, or equivalent.
• Experiences in semiconductor industry, preferably in silicon photonic processes.
• Good critical thinking and problem-solving ability.
• Able to work with cross-functional team, with good communication/presentation skill.
• Able to work in a fast-paced and collaborative environment

Computational Systems Biology deals with mathematical formulation adopted on a computational platform to analyse experimental biological datasets. Here, the candidate with work with multidisciplinary team members to develop a computational model of a microbial system under variable experimental conditions.

The highly motivated and experienced candidate will drive a project in optimizing sustainable food production through a microbial chasis. The candidate will have an opportunity to learn and innovate on deep learning -based flux analysis.

Responsibilities:

• Set up computational pipeline, code in python, and conduct relevant bioinformatics analysis
• Communicate progress, research findings, and implications to stakeholders
• Draft documentation, manuscripts, and slides

Requirements:

• Bachelor or Master in Bioinformatics, Computer Biology, Molecular Biology, or related field.
• Experience in preprocessing and analyzing RNASeq and/or meta-transcriptomics data
• Coding or scripting experience in any language
• Be a self-starter, detailed orientated, and with a growth mindset
• Proficient in python programming and the usage of its interactive notebook
• Have experience in applying flux balance analysis
• Have interest in, or a basic understanding of microbial biology
• Have an interest in post-graduate studies

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.

The NeuroPhenomics Lab is dedicated to the profound exploration of brain tumor biology, focusing particularly on key driver mutations like IDH1 and IDH2. These mutations significantly contribute to the development of aggressive malignant gliomas by altering chromatin structure and genome methylation, thus influencing tumor evolution. Beyond this, our lab is committed to identifying other genetic alterations with potential clinical relevance.

We are currently seeking a Research Officer who is passionately interested in translational cancer research. The ideal candidate should have a robust background in biochemistry, with a preference for experience in protein engineering and antibody work.

Job Requirements:

• A Bachelor"s or Master"s degree in Biology, Biochemistry, or Biochemical Engineering.
• In-depth knowledge of PCR and molecular cloning.
• Experience with proteins and antibody engineering is preferred.
• Proficiency in wet lab techniques.
• Strong teamwork abilities; leadership experience is highly desirable.
• Ability to work independently with a proactive approach.
• A positive and eager attitude toward learning, coupled with responsibility and excellent organizational skills.
• Advanced skills in critical thinking, communication, and building interpersonal relationships.

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

An exciting opportunity has arisen for a highly motivated Research Associate to join the multidisciplinary CDU team to work on the design, implementation of programs, and leading research teams and assisting CDU Principal Investigators in research related to child development.

Job Responsibilities:

Undertake a variety of research-related activities including but not limited to:

• The design, planning, and execution of research projects using quantitative, and qualitative methods.
• Coordination and project management activities.
• Contributing to the writing of research reports, peer-reviewed publications and proposals.
• Dissemination activities at internal and external meetings and conferences.
• Working closely with the team lead, cross-disciplinary research teams and local and/ or international collaborators.
• Working closely with children, families, and stakeholders from across the early childhood sector.
• Supervision of research students, interns and research assistants where required.

Qualifications

• Master's Degree in Psychology/Behavioral Science/Developmental Psychology/Education/Public Health or a related discipline.
• Research experience demonstrating cross-disciplinary integration.
• Keen interest in the area of early child development and/or health behaviours.
• A strong grounding in quantitative, qualitative and/or behavioural research methods and data analysis.
• Evidence of peer-reviewed publications
• A team player with an ability to work independently
• Excellent command of spoken and written English
• Highly motivated, proactive, and goal-oriented
• Experience working with children and/or families and an interest in applied research is an asset for this position.

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 Liujun Zou on physics under a project on Exploring novel quantum many-body states.

The main responsibilities of the position include:

Doing theoretical research, giving seminars, attending conferences, writing papers, etc.

Qualifications/Requirements

• Qualifications / Discipline: Outstanding achievement and promising potential in physics.

• Skills: All necessary skills in theoretical physics.

• Experience: Outstanding achievement in theoretical physics.

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 Nutritionist will be responsible for developing and implementing nutritional programs, conducting research, and analyzing data to support our health initiatives. This role requires a strong background in nutrition science and proficiency in data management and analysis tools.

Key Responsibilities

• Develop and implement personalized nutrition plans for clients based on their health needs and goals.
• Conduct nutritional assessments and provide evidence-based dietary recommendations.
• Collect, manage, and analyze nutritional data using various data management tools and software.
• Interpret data to identify trends and insights that can improve nutritional programs and outcomes.
• Collaborate with healthcare professionals, researchers, and other stakeholders to support nutritional research projects.
• Prepare detailed reports and presentations on nutritional findings and recommendations.
• Stay updated with the latest research and advancements in nutrition science and data analysis techniques.
• Educate clients and the community on nutrition and healthy eating habits through workshops, seminars, and written materials.

Qualifications

• PhD degree in Nutrition, Dietetics, or a related field.
• Certification as a Registered Dietitian Nutritionist (RDN) or equivalent.
• Proven experience in data management and analysis, preferably in a healthcare or research setting.
• Proficiency in data analysis software (e.g., SPSS, SAS, R) and data visualization tools (e.g., Tableau, Power BI).
• Strong analytical skills with the ability to interpret complex data sets.
• Excellent communication and interpersonal skills.
• Ability to work independently and as part of a multidisciplinary team.
• Strong organizational skills and attention to detail.

Preferred Qualifications

• Knowledge of statistical methods and research design.
• Experience in public health nutrition or community nutrition programs.

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 (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 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 at least one of the following research areas:

• Artificial Intelligence and Machine Learning
• Computer Vision
• Algorithms
• Circuits and Systems
• Programming Languages & Software Engineering

Only shortlisted candidates will be notified.

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 the position of Research Assistant 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 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 at least one of the following research areas:

• Computing Systems
• Programming Languages & Software Engineering

Job Requirements

• A Master’s degree in Computing; and
• Experience in research of LLM inference and training acceleration systems.
• Experience in paper and publications in LLM.

We are looking for a talented and ambitious candidate to join our team in developing next-generation quantum sensors. The position will focus on modeling the dynamics and fabricating cryogenic components for the superconducting levitation of ferromagnetic particles.

This levitated, freely precessing particle forms a system of correlated spins, capable of rapidly averaging out quantum uncertainty. By harnessing this system, we aim to develop quantum sensors with sensitivities that exceed the standard quantum limit.

This position is based in the Quantum Innovation Centre (Q.Inc) and Institute of Materials Research and Engineering (IMRE). The successful candidate will contribute to a range of innovative activities, including:

Key Responsibilities:

• Modeling the dynamics of the levitated particle
• Microfabrication of the particle, silicon pocket, and superconducting materials
• Learning to operate a dilution refrigerator

Job Requirements:

• Bachelor's or master’s in physics, Applied Physics, Precise Instrumentation, or related fields
• Past experience in the job activities listed above is preferred, but a strong willingness to learn is sufficient. Trainings will be provided.
• Strong motivation for multidisciplinary research
• Prior experience in superconductivity and/or quantum sensing is highly preferred
• Basic programming skills (e.g., Python, MATLAB)
• Mechanical design
• Ability to work as a team and communicate effectively

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.

Location: Singapore
Department: Research & Development (R&D)
Reports to: Chief Executive Officer (CEO)
Employment Type: Full-Time

KEY Responsibilities:

1. Research & Innovation:

• Lead research initiatives focused on underwater robotics, including navigation, machine learning algorithms, and sensor integration.
• Drive innovation to enhance the performance, autonomy, and efficiency of Roverclean and future robotic products.
• Stay ahead of industry trends, emerging technologies, and advancements in underwater robotics.

2. Product Development:

• Oversee the development and improvement of Alicia Bots’ underwater robotic systems.
• Collaborate with cross-functional teams, including software, mechanical, and electrical engineers, to ensure seamless integration of robotics solutions.
• Evaluate technical feasibility and scalability of proposed robotic solutions.

3. Team Leadership:

• Build, mentor, and lead a high-performing team of robotics engineers and researchers.
• Foster a collaborative and innovative work environment.
• Provide technical guidance and ensure team alignment with company goals.

4. Strategic Planning:

• Develop and execute a long-term R&D strategy for underwater robotics in alignment with company objectives.
• Define research priorities, set milestones, and monitor project timelines and deliverables.

5. Collaboration & Partnerships:

• Build strategic partnerships with academic institutions, research labs, and technology partners.
• Represent the company at industry conferences, workshops, and technical forums.

6. Technical Documentation:

• Ensure accurate and thorough technical documentation for all research projects and product developments.
• Prepare technical papers, reports, and patents where applicable.

Qualifications & Experience:

Education:

• Bachelor's or Master’s in Robotics Engineering, Mechanical Engineering, Electrical Engineering, or a related field with a focus on underwater systems or marine technology.

Experience:

• Minimum 5-10 years of experience in underwater robotics research or robotics product development.
• Proven track record of leading R&D teams and delivering successful robotic systems or projects.
• Experience with underwater navigation systems, sonar technologies, and AI/ML integration in robotic systems.
• Previous experience in the maritime, offshore, or defense industries is preferred.

Technical Skills:

• Proficiency in robotics control systems, underwater communication systems, and sensor technologies.
• Strong programming skills in languages like C++, Python, or ROS (Robot Operating System).

Soft Skills:

• Strong leadership and mentoring abilities.
• Excellent problem-solving and analytical thinking skills.
• Effective communication and interpersonal skills.
• Ability to work collaboratively across departments and international teams.

What We Offer:

• Competitive salary and performance-based incentives.
• A dynamic and innovative work environment.
• Opportunities for professional growth and technical leadership.

Exposure to cutting-edge maritime technologies and global industry leaders.

We are seeking a highly motivated and skilled Bioinformatician to join our team. As a new team working at the intersection of synthetic biology, genomics and machine learning, we seek to develop innovative approaches in advancing the field of bioinformatics and protein structure using large language models. The ideal candidate will have a strong background in computational biology, programming, and a keen interest in protein structure and language models. If you are passionate about unraveling the mysteries of biological systems using computational methods, we encourage you to apply.

Job Responsibilities:

• Develop and implement state-of-the-art algorithms and models for protein structure prediction and analysis.
• Utilize deep learning frameworks such as PyTorch and TensorFlow to design and train novel protein language models.
• Collaborate with interdisciplinary teams to integrate bioinformatics methods into biological research projects.
• Analyze and interpret high-throughput biological data, including next-generation sequencing and structural biology data.
• Contribute to the development of software tools and pipelines for protein structure prediction and analysis.
• Stay updated with the latest advancements in bioinformatics, machine learning, and protein structure prediction methods.

Job Requirements:

• Bachelor/Master's degree in Bioinformatics, Computational Biology, Computer Science, or a related field.
• Strong programming skills in Python and experience with deep learning frameworks such as PyTorch and TensorFlow.
• Proficiency in molecular visualization software, preferably PyMOL, for protein structure analysis.
• Demonstrated interest in protein structure and protein language models, with a focus on applying computational methods to solve biological problems.
• Familiarity with natural language processing and language models is a significant advantage.
• Excellent problem-solving skills and the ability to work independently and collaboratively in a team-oriented environment.
• Effective communication skills and the ability to present complex findings to both technical and non-technical audiences.
• Previous research experience in bioinformatics, computational biology, or related fields is highly desirable.

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.

At NUS Singapore, our people are the driving force behind our success. We pride ourselves on fostering a vibrant and inclusive community of talented individuals from diverse backgrounds.

When you join NUS, you become part of a community of passionate individuals who are dedicated to driving innovation and change in education, research, and service. Our culture of inclusivity and entrepreneurship means that you’ll have the freedom to explore your ideas and make a meaningful impact. Your career at NUS is more than just a job - it’s a transformative experience that will shape your personal and professional growth.

Explore the link provided to learn additional details about the available job opportunity:

https://careers.nus.edu.sg/job/Visiting-Research-Professor%2C-Computer-Science/27367-en_GB/?st=C46AA6953DC27D5F35BF9F6B74E233D838219CFD

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 Professor Barbaros Oezyilmaz at the Graphene Lab, National University of Singapore.

The main responsibilities of the position include:

1. Project and Grant Management: Support the Principal Investigator (PI) in tracking budget utilization, manpower allocation, and procurement to ensure projects are on track. Oversee research and industry projects, including planning, compliance, and reporting. Assist with grant proposal preparation, submission, and tracking.

2. Business Development: Develop and evaluate business proposals, negotiate industry collaboration agreements, and actively foster partnerships to drive research applications and commercialization.

3. Industry and Academic Engagement: Serve as a coordinator for industry and academic discussions, facilitate collaborative meetings, and take an active role in engaging with industry stakeholders to build and sustain strategic partnerships.

4. IP Portfolio Management: Manage the lab's intellectual property portfolio, track inventions, support patent applications, and liaise with the university’s technology transfer office.

Qualifications/Experience

• Qualifications / Discipline: A Master’s degree or Bachelor’s degree in a relevant field such as:

- Engineering (e.g., Materials Science, Mechanical, or Electrical Engineering)

- Science (e.g., Physics, Chemistry, or a related discipline)

- Business Administration or Management (especially if emphasizing industry collaboration and business development)

• Experience:

1. At least 2–3 years of experience in research project management, business development, or related roles.

2. Familiarity with managing grants, budgets, and compliance with funding regulations.

3. Experience in academic or industry collaboration settings.

4. Fluent in spoken and written English. Experience in Business English will be an advantage.

We are seeking a highly motivated and skilled Bioinformatician to join our team. As a new team working at the intersection of synthetic biology, genomics and machine learning, we seek to develop innovative approaches in advancing the field of bioinformatics and protein structure using large language models. The ideal candidate will have a strong background in computational biology, programming, and a keen interest in protein structure and language models. If you are passionate about unraveling the mysteries of biological systems using computational methods, we encourage you to apply.

Job Responsibilities:

• Develop and implement state-of-the-art algorithms and models for protein structure prediction and analysis.
• Utilize deep learning frameworks such as PyTorch and TensorFlow to design and train novel protein language models.
• Collaborate with interdisciplinary teams to integrate bioinformatics methods into biological research projects.
• Analyze and interpret high-throughput biological data, including next-generation sequencing and structural biology data.
• Contribute to the development of software tools and pipelines for protein structure prediction and analysis.
• Stay updated with the latest advancements in bioinformatics, machine learning, and protein structure prediction methods.

Job Requirements:

• Bachelor/Master's degree in Bioinformatics, Computational Biology, Computer Science, or a related field.
• Strong programming skills in Python and experience with deep learning frameworks such as PyTorch and TensorFlow.
• At least 5 years of relevant experience
• Proficiency in molecular visualization software, preferably PyMOL, for protein structure analysis.
• Demonstrated interest in protein structure and protein language models, with a focus on applying computational methods to solve biological problems.
• Familiarity with natural language processing and language models is a significant advantage.
• Excellent problem-solving skills and the ability to work independently and collaboratively in a team-oriented environment.
• Effective communication skills and the ability to present complex findings to both technical and non-technical audiences.
• Previous research experience in bioinformatics, computational biology, or related fields is highly desirable.

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

• Act as a Finance Business Partner to the designated Research Centre/ Institutes within the cluster and provide strategic support to its management and budget holders by proactively monitoring financial activities and financial reporting specific to the Institutes, and clearly communicating results of the analyses.
• As a team leader supporting Cluster lead in leading and managing the research finance cluster.
• Provide financial and business advisories to the Institutes that are critical to the decision-making purposes and ensure compliance with University’s financial policies and procedures, and funding agencies’ terms & conditions / guidelines.
• Foster and maintain a regular working relationship within the Institutes, central shared services teams, and other functional partners.

Duties & Responsibilities:

Financial Management and Oversight

• Lead a team of 3-4 staff (direct and indirect), where applicable
• Ensure smooth day-to-day financial operations of the Research Centre (RCE) / Institutes (RICs) within the cluster, including exercising financial control over budget expenditure, revenue collection and financial reporting.
• Drive the annual budget and forecast exercises by coordinating all movements of budget, ensuring timely submission of budgets to central teams.
• Participate in strategic meetings and budget planning sessions with the Institutes’ management, providing valuable financial insights to aid decision-making.
• Partner closely with Institutes to guide cost-efficiency initiatives and offer expertise in implementing resource optimization strategies, leading to a reduction in operational expenses.
• Analyse Institutes’ financial positions and funding status, offer insights and recommendations for periodic reporting to the Institutes’ management for decision-making processes.
• Prepare and present financial performance reports to the Institutes’ Governing Board/ Strategic Board, etc, ensuring clarity and accuracy of information.

Grant and Fund Management

• Partner closely with Institutes (as host institution) for effective grant administration, provide financial guidance throughout the grant lifecycle and facilitate budget allocation for various projects and funding sources, to enhance the host institute’s financial stability and research pursuits.
• Collaborate with budget owners to manage grants / funds and proactively identify issues for timely solutions and ensure optimal utilisation of funds.
• Ensure full understanding and compliance with the terms and conditions of the grants as predetermined in the signed letter of awards / agreements.
• Oversee grant claim statements preparation and timely submission to funding agencies, including liaison with auditors and fulfilment of audit requirements, and prompt response to queries for a smooth and timely audit fieldwork.
• Work collaboratively with the Institutes’ stakeholders and central shared services teams during financial year-end closing and grants’ closing activities to ensure all legitimate transactions are properly recorded and all financial reports are accurately prepared.

Governance, Controls and Compliance

• Ensure compliance with related tax filing matters including GST, withholding tax and taxable benefits for personal claims.
• Timely perform Risk Control Matrix (RCM) testing and address anomalies to mitigate financial risks, and ensure certification sign-off by Institute’s HOA before the financial year’s closing deadline.
• Liaise with internal auditors on all internal audit matters, where required.
• Coordinate and oversee the annual fixed assets verification exercise of the designated Institutes. Work collaboratively with Institutes’ stakeholders to ensure compliance with the verification procedures and maintain accurate records of fixed assets.

Leadership

• Drive strategic planning efforts, outlining objectives, strategies and key performance indicators (KPIs) to ensure the team’s success.
• Make critical decisions and provide guidance to the team in complex situations, considering broader implications.
• Identify talent gaps. Mentor and coach team members on leadership, problem-solving and strategic thinking.
• Guide the team through changes, effectively managing transitions and ensuring team members are aligned with new strategies or initiatives.
• Represent the cluster in cross-cluster meetings and strategic discussions, advocating for team needs and accomplishments.

Process Improvement and Stakeholder Communication

• Proactively engage with Institutes’ stakeholders to understand their needs, challenges and goals.
• Provide guidance and updates to stakeholders on finance policies, guidelines and procedures, as and when required.
• Identify opportunities to develop guidelines and streamline financial processes for operational efficiency and resource optimization.
• Lead change initiatives such as projects, system implementation and other assignments as may be directed from time to time.
• Undertake ad-hoc tasks as requested by Institutes or assigned by Cluster lead.

Qualifications

• Accounting Degree/ACCA or equivalent with at least 10 years of relevant working experience
• Exposure to grant budgets, funding agencies’ regulations and financial compliance requirements in a research or education environment will be advantageous
• Technically competent with up-to-date knowledge of accounting / audit standards and practices
• Ability to quickly learn and grasp the implications of terms and conditions for each managed grant
• Highly stakeholder service-focused and strong in communication skills with the ability to build positive working relations and work collaboratively with people at all levels
• Highly analytical with exceptional problem-solving and organisational skills
• Self-motivated individual and able to work with minimal supervision in a dynamic environment with competing demands for resources
• A keen sense of ownership and accountability, and act with a sense of urgency to meet tight deadlines
• Proficient in using MS Office and has relevant experience in SAP accounting system and flexibility to adapt new software applications, where applicable