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

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 a Research Fellow in the Department of Medicine, Yong Loo Lin School of Medicine.

Main duties and responsibilities

The Research Fellow (RF) will be responsible to, and work closely with, the Principal Investigator (PI) and study team members to successfully deliver research outcomes pursued in several nationally funded projects:

Ischaemic stroke and cardiovascular diseases, focused on biomarker discovery and validation using preclinical vascular and animal models. A key focus of the work is to understand the reasons why strokes occur and how to identify high-risk individuals for more intensive interventions. This work leverages on a well-phenotyped repository of samples from stroke patients who have been meticulously characterized by whole-exome sequencing, RNA-seq and proteomics and outcomes collected in patients who were followed for more than 10 years.

Qualifications

The applicant should:

1. Have a good PhD degree in life sciences, biomedical sciences, biochemistry or bioengineering from a well-recognized university.
2. Experience with immunohistochemistry, molecular biology, microscopy techniques and computational analytical methods will be considered favorably.
3. Able to work independently and in a team, and must have good interpersonal and communication skills.
4. Possess good organizational skills for project planning, data analysis, manuscript preparation and grant applications.
5. Possess good understanding and knowledge of statistical methods using either R, Stata, Python or SPSS softwares.

Appointments will be made on a yearly contract basis with a good likelihood of extension.

Remuneration will be commensurate with the candidate’s qualifications and experience.

Only shortlisted candidates will be notified.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The Experimental Marine Ecology Laboratory (EMEL) within the Department of Biological Sciences at the National University of Singapore is seeking to appoint an exceptional candidate to the position of Postdoctoral Research Fellow to work on a major new project “Multifunctional and Adaptive Green-Grey Shorelines (MAGGShore)”. This interdisciplinary research aims to test strategies to enhance the ecological functioning of artificial shorelines.

The main responsibilities of the position include:

• Examine ecological processes on seawalls at multiple scales
• Identify suitable species and protocols for transplantation
• Develop and test new enhancement unit designs
• Coordinate with sister sub-projects
• Prepare research manuscripts, reports and presentations
• Mentor graduate and undergraduate students

Applicants should have completed a PhD in marine biology or ecology.They should have a history of publications consummate with their career stage. Research skills including leadership, excellent statistical and analytical skills, outstanding writing abilities, and the capacity to work within a diverse group of ecologists and marine scientists, are desirable. Candidates with experience in hard intertidal systems, ecological engineering, and nature-based solutions will be given priority.

Qualifications

PhD in Marine Biology or Ecology

Skills:

• Experimental design and analysis (including expertise in R)
• Strong written and interpersonal communication skills
• Excellent time and resource management
• Certified and experienced scuba divers would be preferred

Experience:

• Ability to conduct experimental work in field, lab, and aquaria
• Experience working with intertidal invertebrates
• Familiarity with nature-based solutions/ecological engineering
• Publication record consummate with career stage

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 Experimental Marine Ecology Laboratory (EMEL) within the Department of Biological Sciences at the National University of Singapore is seeking to appoint a Research Assistant to work on a major new project “Maximizing the beneficial environmental effects of tropical hybrid shorelines (MaxBETH)”. This interdisciplinary research aims to determine how hybrid coastal protection systems can be implemented at large scales in Singapore as well as assessing the challenges and benefits of up-scaling and identifying the effects of hybrid shorelines on biophysical processes.

The main responsibilities of the position include:

• Assist in administrative work to support the project
• Carry out intertidal and subtidal biodiversity surveys
• Coordinate with sister projects
• Prepare research manuscripts, reports, and presentations

Qualifications

Applicants should have completed a Masters degree or equivalent in biology, marine biology, ecology, geography, environmental studies, or other similar discipline. We may also consider applicants with Segrees in Engineering, Architecture, or Landscape Design. The candidates should have a strong passion for marine-related research. Research skills including species identification, statistical analysis, writing abilities, as well as the capacity to work within a diverse group of ecologists and marine scientists, are desirable. Candidates with previous first-authored ecological publications will be given priority.

Hold a bachelor’s and/or master’s degree in biology, marine biology, ecology, geography, environmental studies, or other similar discipline. We may also consider applicants with degrees in engineering, architecture, or landscape design.

Skills

• Experimental design and analysis (including expertise in R)
• Strong taxonomic and identification abilities
• Strong written and interpersonal communication skills
• Excellent time and resource management

Experience

• At least three years’ experience in a related field
• Ability to conduct experimental work in field, lab, and aquaria
• Familiarity with nature-based solutions/ecological engineering
• Evidence of published research would 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 a Research Assistant in the Department of Medicine, Yong Loo Lin School of Medicine.

Main duties and responsibilities

The Research Assistant will be responsible to, and work closely with, the Principal Investigator (PI) and his study team to successfully deliver research outcomes in the areas of ageing, stroke and cardiovascular diseases.

Familiarity and experience with molecular, cell biology, staining, advanced microscopy techniques, and computational analytical methods will be considered favorably.

Preference will be given to candidates who are able to analyse omics data and with familiarity with statistical softwares including SPSS or R.

Responsibilities also include the day to day management of laboratory operations such as procurement, preventive maintenance of equipment and laboratory safety.

Qualifications

The applicant should:

1. Have a good degree in life sciences, biomedical sciences, biochemistry, or equivalent from a well-recognized university, with a minimum of 2 years experience.
2. Able to work independently and in a team, and must have good interpersonal and communication skills
3. Possess good organizational skills
4. Have knowledge of common computer applications, e.g. MS office, PowerPoint, Excel, SPSS, “R”, Stata etc

Appointments will be made on a yearly contract basis with the possibility of extension.

Remuneration will be commensurate with the candidate’s qualifications and experience.

Only shortlisted candidates will be notified.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

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

The successful candidate will work with Associate Professor John S. Ascher on environmental modeling of mosquito vectors and stinging wasps and bees and other insects of importance for public and environmental health under the CNRS@CREATE, SPACE project.

The main responsibilities of the position include:

Working with the appointment PI to validate as fit for use an existing specimen and community science dataset of insects of importance for public and environmental health, especially mosquitoes and stinging wasps. The appointee will then conduct species distribution modeling based on an existing pipeline already established for bee research and documented in a publication. The candidate will start with highest priority mosquito species such as Aedes albopictus and other well known species of public health importance will move on to other species as time allows.

Qualifications

MSc or equivalent level qualification in Biological Sciences required.

Skills:

The candidate must be familiar with environmental modelling and SDMs using software such as R and MaxEnt. Preferably this includes ability to address spatial biases.

Experience:

Experience with entomology, specimen and other databases, and coding in R for environmental modelling desirable.

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 project aims to investigate the performance of cementitious materials and 3D printed concrete against ballistic and blast loadings. The researcher will be required to cast and fabricate the various cementitious materials and 3D printed concrete, prepare the logistics and perform the relevant ballistic and blast tests. He/she will also be required to set up the numerical models in commercial FE software (e.g. LS Dyna), validated against experimental data, to understand the mechanisms in resisting the high impact loadings for the various cementitious materials.

Job Requirements

• The research fellow should have a PhD degree in a relevant field, with experience in the following areas:

- 3D concrete printing;

- Laboratory ballistic tests;

- Design of blast tests for concrete specimens;

- FE simulations of blast loading on concrete structures.

• Strong written and spoken communications 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 (postdoc) positions in the Department of Chemical and Biomolecular Engineering at National University of Singapore (NUS).

The primary objectives of these two positions are to foster a profound design principle towards novel, cost-effective electrocatalysts and reactors for the efficient conversion of CO2/CO into liquid fuels. Furthermore, these roles will involve exploring the potential for synergizing biochemistry and electrochemistry, with the overarching goal of enhancing selectivity and efficiency in the conversion of CO2 into multi-carbon products. Extensive state-of-the-art infrastructures for materials synthesis and physical characterizations are established at the Department.

The research fellows are required to help in guiding young students, visiting scholars, and assisting the establishment of larger research applications and facilitating initiatives with respect to sharing and developing infrastructure for electrocatalysis research within NUS.

Job Requirements

The applicants must hold a PhD (or other equivalent degrees) in chemical engineering, chemistry, materials science or other relevant related field. Experience with electrocatalysis, or similar chemistries, is considered advantageous. Experience with material characterization techniques like SEM/EDS, TEM, STEM, XRD, XAS, XPS, FTIR, and Raman will also be highly considered. Since cross disciplinary work is essential for the success of this project, it is considered positive if the candidate can demonstrate experience in similar work environments.

Postdoctoral Scientist position

A postdoctoral scientist position is available immediately in the laboratory of Dr. Leslie Beh at IMCB.

The Beh lab seeks to develop cutting-edge CRISPR-Cas technologies to uncover the biological functions of RNA modifications. Dysregulation of these modifications has been linked to cancer, neurological disorders, and metabolic disease. We will determine the mechanisms by which RNA modifications and CRISPR-Cas systems operate by drawing upon diverse techniques, including protein engineering, biochemical reconstitution, genomics, and cell-based experiments. Successful applicants can expect close mentorship in a collaborative environment, with an emphasis on developing scientific knowledge and individual career goals. More information about can be found at (https://www.behlab.org/).

Requirements:

• Ph.D. in Life Sciences / Biomedical Sciences
• Experience in biochemistry and/or structural biology, particularly in protein-RNA or protein-DNA interactions.
• in vitro reconstitution of enzymatic activity using cell extracts or purified proteins
• Recombinant protein purification from bacterial and insect cells
• Genuine interest in pursuing a research-based career.
• Strong work ethic, with excellent organizational and communication skills

Preferred experience:

• Mammalian cell culture
• NGS library generation and data analysis
• Prior roles in lab management

Postdoctoral Scientist position

A postdoctoral scientist position is available immediately in the laboratory of Dr. Leslie Beh at IMCB.

The Beh lab seeks to develop cutting-edge CRISPR-Cas technologies to uncover the biological functions of RNA modifications. Dysregulation of these modifications has been linked to cancer, neurological disorders, and metabolic disease. We will determine the mechanisms by which RNA modifications and CRISPR-Cas systems operate by drawing upon diverse techniques, including protein engineering, biochemical reconstitution, genomics, and cell-based experiments. Successful applicants can expect close mentorship in a collaborative environment, with an emphasis on developing scientific knowledge and individual career goals. More information about can be found at (https://www.behlab.org/).

Requirements:

• Ph.D. in Life Sciences / Biomedical Sciences
• Experience in biochemistry and/or structural biology, particularly in protein-RNA or protein-DNA interactions.
• in vitro reconstitution of enzymatic activity using cell extracts or purified proteins
• Recombinant protein purification from bacterial and insect cells
• Genuine interest in pursuing a research-based career.
• Strong work ethic, with excellent organizational and communication skills

Preferred experience:

• Mammalian cell culture
• NGS library generation and data analysis
• Prior roles in lab management

We are seeking a highly motivated and skilled Research Officer to join our team. The successful candidate will be responsible for implementing and optimizing algorithms for the generation of synthetic RNAs. This role involves a strong emphasis on computational biology, algorithm development, and the application of machine learning techniques to simulate RNA sequences and structures.

Key Responsibilities:

• Develop, implement, and optimize algorithms for generating synthetic RNA sequences with specific properties.
• Collaborate with cross-functional teams to integrate these algorithms into our synthetic biology platform.
• Analyze large datasets to validate the accuracy and efficiency of generated synthetic RNAs.
• Work closely with experimental biologists to design in silico RNA sequences that can be tested in the lab.
• Contribute to the development of software tools that assist in the design and simulation of synthetic RNAs.
• Stay updated with the latest research and technological advancements in the field of RNA biology and synthetic biology.
• Document research findings and present them at internal meetings and external conferences.

Requirements:

• A Master or Bachelor degree in Computational Biology, Bioinformatics, Synthetic Biology, Computer Science, Statistics, or a related field.
• Strong programming skills in languages such as Python, R, or C++.
• Experience with RNA sequence analysis, algorithm development, or machine learning is preferred.
• Familiarity with RNA secondary structure prediction and synthetic biology principles is a plus.
• Ability to work independently as well as collaboratively in a multidisciplinary research environment.
• Excellent problem-solving skills and attention to detail.
• Strong communication skills, both written and verbal.

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

This job provides you with the opportunity to develop skills in collecting primary data as well as handling large datasets, data analysis, and causal inference. It is a good opportunity to learn and build your skills in fieldwork and data analysis. If you are interested in a future career in data analytics or graduate studies in economics, this research assistantship will also give you the relevant training and exposure.

This is a full-time position from June 2025 on a one-year renewable contract.

In accordance with the terms of the project funding, applicants with Singapore citizenship and permanent residence will be preferred.

Job Responsibilities

The Research Assistant (RA) will assist Professor Ivan Png in applied microeconomic research. Duties include compiling data from primary and secondary sources, analysis and programming, algebraic analysis, reviewing research, and writing. Current projects include the productivity of foreign workers and taxi drivers (https://bizfaculty.nus.edu.sg/productivity/)

Qualifications and Skills

• Honours degree in economics, business, or related discipline.
• Skilled in programming and statistics.
• Willing to work independently, in the field and office.

More Information

Please apply with subject "NUS full-time RA [Your name]" and with your transcript and resume (please label your attachments as [YourName]_ [Transcript/Resume]).

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 job provides you with the opportunity to develop skills in collecting primary data as well as handling large datasets, data analysis, and causal inference. It is a good opportunity to learn and build your skills in fieldwork and data analysis. If you are interested in a future career in data analytics or graduate studies in economics, this research assistantship will also give you the relevant training and exposure.

This is a full-time position from June 2025 on a one-year renewable contract.

In accordance with the terms of the project funding, applicants with Singapore citizenship and permanent residence will be preferred.

Job Responsibilities

The Research Assistant (RA) will assist Professor Ivan Png in applied microeconomic research. Duties include compiling data from primary and secondary sources, analysis and programming, algebraic analysis, reviewing research, and writing. Current projects include the productivity of foreign workers and taxi drivers (https://bizfaculty.nus.edu.sg/productivity/)

Qualifications and Skills

• Honours degree in economics, business, or related discipline.
• Skilled in programming and statistics.
• Willing to work independently, in the field and office.

More Information

Please apply with subject "NUS full-time RA [Your name]" and with your transcript and resume (please label your attachments as [YourName]_ [Transcript/Resume]).

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 – which is the top ranked university in Asia – is recruiting full-time Practice Track faculty staff at the Associate Professor or Professor ranks for the Saw Swee Hock School of Public Health (SSHSPH).The Practice Track is a non-tenurable track, open to scholar-practitioners with professional skills and expertise in industry to complement the existing teaching and research expertise of the University. At first and subsequent reappointment, the contract offered may range from 1 to 5 years.

New faculty members may be eligible for subsidised university accommodation, in addition to an attractive salary and benefits package.

The successful candidate will be expected to contribute to education, faculty development, and service, and complement the research efforts of the Faculty/School where appropriate. In particular, the successful candidate will be expected to contribute significantly to the School’s Master programme and public health practice-related research collaborations with the Ministry of Health Singapore and other stakeholders in Singapore’s health system. They are also expected to contribute significantly to the outreach activities of the School. These include executive education and collaboration with relevant institutions which will enhance the reputation of the Faculty/School.

Researchers active in one or more of the following areas are particularly encouraged to apply:

• Economic evaluation of public health interventions and/or health technologies;
• Comparative effectiveness analysis including systematic review, meta-analysis, and analysis of real-world evidence;
• Economic theories to support healthcare resource allocation or priority setting.

Qualifications

• At least 6 or more years’ of practice experience at a senior level in a managerial, professional or specialist role with demonstrated leadership in the profession;
• Track record of leading and completing high-impact public health-practice related projects;
• Ability to generate and maintain an independent stream of research funding;
• Ability to teach public health courses at both undergraduate and graduate levels;
• Ability to work in multidisciplinary teams;
• Ability to work with culturally diverse populations.

Responsibilities

Responsibilities include:

• Administrative leadership and teaching in the Master programme;
• Graduate student advising;
• Contributing to policy/community development in the field of public health;
• Establishing an independent research agenda through extramural funding.

More Information

To apply, please submit a cover letter specifying your research and/or teaching interests and experience, your curriculum vitae, names and contact details of 3 references.

For more information on NUS please visit: www.nus.edu.sg. For more information about the Saw Swee Hock School of Public Health please visit www.sph.nus.edu.sg.

Please note that only shortlisted candidates will be contacted.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

We are looking for a Research Engineer who will be responsible working on a project on cyber security and privacy issues for IoT and cyber-physical systems.

Responsibilities:

• Design and develop techniques that detect attacks on IoT/CPS;
• Perform analysis and simulations to validate designs;
• Implementation and development of demos;
• Assists with the editing and preparation of manuscripts, reports and presentations;
• Participate in presentations and demos for exhibiting work at appropriate events

Qualifications

Requirements

• BEng/BSc/BTech in Electrical Engineering, Computer Science or a related field;
• Programming experience and knowledge of cyber security 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

We are looking for a Research Engineer who will be responsible working on a project on cyber security and privacy issues for IoT and cyber-physical systems.

Responsibilities:

• Design and develop techniques that detect attacks on IoT/CPS;
• Perform analysis and simulations to validate designs;
• Implementation and development of demos;
• Assists with the editing and preparation of manuscripts, reports and presentations;
• Participate in presentations and demos for exhibiting work at appropriate events

Qualifications

Requirements

• BEng/BSc/BTech in Electrical Engineering, Computer Science or a related field;
• Programming experience and knowledge of cyber security 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

Senior Testing Engineer

As part of IME’s Photonics & Sensors Department, the candidate will take lead for the development of various testing capability for advanced photonics, including but not limited to chip-level and wafer-level testing of optical devices and electro-optical devices. You will work closely with an excellent multidisciplinary team working on advanced photonics.

Responsibilities:

• Develop various photonics testing capabilities for both chips and wafers, including design and building of measurement setups
• Optimize data acquisition and analysis process to improve test efficiency, e.g. automation of measurement processes for wafer-scale testing and corner analysis
• Perform chip-scale and wafer-scale data collection for OE, EO and OO devices
• Manage photonics laboratory including facilities management, health and safety, equipment calibration, inventory and stocktake
• Take on procurement duties for laboratory equipment and consumables
• Prepare technical presentations for internal meetings

Qualifications:

• Bachelor’s degree in Physics, Electronic/Electrical Engineering or equivalent
• Experience in optical/photonics device testing
• Experience in experimental data acquisition and analysis
• Critical thinking and problem solving ability
• Strong skills in communication and providing technical presentations
• Values teamwork and fostering a collaborative spirit
• Skillset in programming or instrument automation is a plus

The Signature Research Programme in Neuroscience and Behavioural Disorders (NBD) is focused on understanding the structure and function of the nervous system, and the neural mechanisms underlying human neurological, psychiatric and ophthalmological disorders.

The Laboratory of Neural Stem Cells, led by Professor Hongyan Wang, is dedicated to understanding molecular mechanisms of brain development. Utilizing Drosophila, mouse, and human brain organoids as model systems, our research focuses on elucidating to neural stem cell proliferation, differentiation, and regeneration, as well as their implications in neurodevelopmental disorders (Science Advances 2024, Nature Communications 2024, PLOS Biology 2024, Cell 2024, Developmental Cell 2023, 2010, 2011). Prof. Wang, an EMBO Associate Member, is an internationally recognised leader in the field of neural stem cells.

This position represents an exceptional opportunity to gain experience in cutting-edge biomedical research within a friendly, collaborative, and supportive laboratory environment. For further details, please visit the Wang Lab website: https://www.duke-nus.edu.sg/directory/detail/hongyan-wang.

The selected candidate will perform a variety of research activities which include planning, organising and conducting research studies within the overall scope of a research project under the supervision of the Principal Investigator or his/her designate, including but not limited to the following: -

• Independently carry out the design and execution of experimental research required by the research component of the project.
• Write and review research papers, present research outcomes, conceptualise new ideas and develop plans for independent research which could have a considerable influence and impact on the relevant field attracting research funding.
• Provide support for external grant/protocol development, study design and management of research activities.
• Contribute to occasional educational / instructional activities and project management.
• Provide guidance and mentorship to undergraduate / medical students and research assistants.
• Maintain optimal experiment progress in the laboratory or in the research work undertaken.
• Perform other related duties incidental to the work described therein.

Job Requirements

• PhD Biological Science or related disciplines.
• Have a high level of motivation and a keen interest in neural stem cells.
• Proven track record in the form of high impact publications.
• Demonstrated capability of research independence progressively.
• Possess strong writing and critical thinking skills, as well as good communication and presentation skills.
• A team player who is able to prioritise, multi-task and work collaboratively in a diverse workforce.

We regret that only shortlisted candidates will be notified.

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

This job provides you with the opportunity to develop skills in collecting primary data as well as handling large datasets, data analysis, and causal inference. It is a good opportunity to learn and build your skills in fieldwork and data analysis. If you are interested in a future career in data analytics or graduate studies in economics, this research assistantship will also give you the relevant training and exposure.

This is a full-time position from June 2025 on a one-year renewable contract.

In accordance with the terms of the project funding, applicants with Singapore citizenship and permanent residence will be preferred.

Job Responsibilities

Qualifications

• Master's degree in economics, business, or related discipline.
• Skilled in programming and statistics.
• Willing to work independently, in the field and office.

More Information

Please apply with subject "NUS full-time RA [Your name]" and with your transcript and resume (please label your attachments as [YourName]_ [Transcript/Resume]).

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

The Candidate will be working on dynamic modelling and simulation of the powertrain of a full electric tug vessel, mainly using MATLAB/Simulink. The simulation models will be used to investigate the steady state and transient behaviour of the ship’s electric propulsion system.

Key Responsibilities

• Development of dynamic models of the ship’s electrical propulsion system including energy storage systems.
• Investigate steady-state and transient behaviours of an all-electric ship’s electrical system in various operational scenarios.
• Carry out mission-specific electrical power consumption analysis
• Electrical propulsion and ESS design optimization.
• Any other duties as assigned by the supervisor.

Job Requirements

• Bachelor's Degree or above in the areas of Electrical Engineering, Mechanical Engineering or Marine Engineering
• Other relevant disciplines are welcome to apply
• Background in programming languages and related research project experience is ideal

A Research Officer position is available in Dr. Anand Andiappan Lab at the Singapore Immunology Network (SIgN). The RO position is to support the research work of the team that focuses on studying the role of immune system in eczema and allergies. The candidate will work on primary cells from cohorts and cell culture systems towards understanding immune pathophysiology of disease. Additional work involves cellular and stimulation assays with flow cytometry and FACS analysis along with imaging by confocal microscopy, and associated data analysis with statistical tested.

Job Duties:

• Managing safety in the lab
• Creating SOPs and lab risk assessments
• Maintaining lab inventories
• Perform other lab administrative duties and operations such as ordering and tracking lab budget
• Experience with human and mouse blood/tissue sample handling and processing (e.g. isolation of specific immune cell population) and knowledge of immune cell biology is encouraged
• Experience with flow cytometry analysis for different immune cell population and functional immune assays will be an advantage

Job Requirements:

• Degree in Immunology, Life sciences, Biomedical sciences, Molecular Biology, Biotechnology or equivalent
• Preferably with experience in molecular biology techniques, immunology, cancer cell biology, cell culture and flow cytometry
• Precise, detailed-oriented and able to follow complex protocols
• Willing to learn new experimental procedures and troubleshoot assays
• Good team player with good interpersonal skills
• Good spoken and written communication skills
• Candidates are expected to be highly motivated to work in research and able to perform tasks independently.

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.