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 under a project on Spin triplet superconductivity in van der Waals heterostructures.

Applicants should have a Ph.D. degree in Physics, Material Science, Nanoscience and Nanotechnology, or related disciplines and strong background in low-temperature device physics. The successful candidate will be working in state-of-the-art research environment and receive internationally competitive salary packages.

Our group has extensive experience in the fabrication and characterization of van der Waals heterostructures based on magnetic and superconducting layered materials. To support our ongoing work, we are looking for a new team member with extensive experience in low-temperature magneto-transport measurements. The candidate is expected to do research on spin triplet generation and characterization by introducing an additional layer of a magnetic semiconductor into existing heterostructures to realize spin mixing.

The main responsibilities of the position include:

1. Design and development of magnetic tunnel junction or spin valve.
2. Nano fabrication (e.g., stacking of van der Waals heterostructures, e-beam lithography, nano deposition) in clean room.
3. Low-temperature electrical characterization of superconductors/semiconductors.

Qualifications

• Qualifications / Discipline:

1. Ph.D. degree in Physics, Material Science, Nanoscience and Nanotechnology, or related disciplines

2. Excellent English communications

• Skills:

1. Nanofabrication

2. Low-temperature measurement

3. Device physics

• Experience:

1. More than 4-year experience in clean room environment

2. More than 2-year experience in graphene or other related 2D materials

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.

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

AI Singapore (AISG) is a national AI programme launched by the National Research Foundation (NRF) to anchor deep national capabilities in Artificial Intelligence (AI).

The programme office is hosted by the National University of Singapore (NUS) and brings together all Singapore-based research institutions and the vibrant ecosystem of AI start-ups and companies developing AI products to perform use-inspired research, grow the knowledge, create the tools, and develop the talent to power Singapore's AI efforts.

AI Singapore (AISG) is seeking a highly organized and detail-oriented individual to join our team as a Research Assistant. The Research Assistant will collaborate with researchers, engineers, and external stakeholders to facilitate the research, evaluation and deployment processes involved in research projects.

Duties and Responsibilities

In this role, you will:

• Participate in the full research to deployment pipeline and help conceptualize, develop research experiments, and then implement the systems to execute these experiments.
• Work with a team and interact closely with both the academic researchers and the industry partners.
• Attend reading groups and seminars, master research techniques and engineering practices, and design research tools and experimental testbeds.
• Apply state-of-the-art AI algorithms, explore new solutions, and build working prototypes. You will also learn to deploy the systems and solutions at scale.

Qualifications

An ideal candidate should have the following:

• A Bachelor’s or Master’s degree in AI, computer science, or related disciplines including Engineering Systems;
• Strong system-building skills and keen interests in working with emerging technologies and frameworks;
• Solid background in AI and machine learning, preferably with at least 1-year of experience;
• Past experiences in:

- Open-source DevOps tools and software as a service solutions;

- Development and implementation of AI and machine learning algorithms;

- Related work at an academic research lab

• Good written and verbal communications skills;
• A willingness to learn and experiment with novel ideas and new domains.
• Interest or prior work in social data science and online trust and safety. Experience in areas such as user behaviour analysis, content moderation, misinformation detection, or platform security will be highly advantageous.

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

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

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

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

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

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

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

Qualifications

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

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

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

We regret that only shortlisted candidates will be notified.

Job Description

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

The main responsibilities of the position include:

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

Qualifications

Qualifications / Discipline:

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

Skills:

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

Experience:

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

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for the position of Research Fellow in the Department of Computer Science, School of Computing. The School of Computing is strongly committed to research excellence in all its dimensions: Searching for fundamental results and insights, developing novel computational solutions to a wide range of applications, building large-scale experimental systems and improving the well-being of society. We seek to play an active role both internationally and locally in the core and emerging areas of Computer Science and Information Systems.

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

Only shortlisted candidates will be notified.

Job Requirements

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

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

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

We regret that only shortlisted candidates will be notified.

About the Centre for Quantum Technologies (CQT)

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

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

Learn more about CQT at www.quantumlah.org

Job Description

The Centre for Quantum Technologies (CQT), National University of Singapore is looking for researchers and engineers to develop next generation quantum computers based on trapped ions. There are multiple positions available at different levels with a diverse set of expertise. This program is funded under the National Quantum Processor Initiative, a flagship program under the National Quantum Office Singapore. The aim of the program is to develop a full stack quantum processor based on Yb-Ba ions. This program brings together the unique capabilities of the existing ion trap groups in CQT expertizing on these two-ion species to explore scalability of the system.

The Centre for Quantum Technologies is a pioneering quantum centre in the world offering a diverse research culture at the intersection of three different fields namely, theoretical, experimental Physics and computer science. We offer competitive salary and enriching intellectual experience in a city state known for its forward outlook. This program also allows strong collaboration with leading academic and industrial groups within and outside the country.

The team members will work to build electronics to control the ion trap quantum processor. That includes digital design, RF and microwave sources and low noise analog / digital front end. The ideal candidate should have practical experience in at least one of the following fields and desire to cross the boundaries and learn relevant skills.

The successful candidate will be involved in all stages of the development cycle: collaborate with other team members to define the technical requirements, design, manufacturing, testing and integration of the prototype into the control system.

Job Requirements

We are looking for several electrical engineers to join the small team of scientists and engineers working on the next generation of the ion trap quantum processor. The candidate should have:

• Bachelor or Master degree in electronics, electrical engineering or related fields;
• At least 1-2 years of experience in electronics design is preferred;
• Experience in programmable digital logic design using Verilog or VHDL, digital signal processing, and familiarity with control theory;
• Design and characterisation of low noise electronics for the analog front end, good understanding of the noise sources in electronic circuits;
• Design and implementation of the RF electronics circuits.

We are seeking candidates for the position of Research Officer for the Circular Bioeconomy team, part of the Biotransformation Group at the Singapore Institute of Food and Biotechnology Innovation (SIFBI). The Circular Bioeconomy team performs Research & Development in biotechnological approaches to waste valorisation, alternative protein and carbon-reduction. The mission is to provide biotechnological solutions for achieving Singapore?s ambitious goals of Zero Waste, Food Security and Net Zero emissions.

Job Description:

• Perform laboratory experiments for Circular Bioeconomy projects, such as microbial isolation, flask fermentation, bioreactor fermentation and analysis using assays, analysers, chromatography and quantitative PCR.
• Plan experimental work in close collaboration with supervisor. More experienced candidates will have greater independence in planning, executing and trouble-shooting their own work.
• Analyse, organise and summarise experimental results for reporting to supervisor. More experienced candidates will have greater freedom in interpreting, evaluating and reporting results to stakeholders.
• Maintain laboratory and equipment in good and productive order, such as purchasing consumables, organising and tidying lab, maintaining equipment and writing SOPs.
• Uphold high safety and integrity standards, complying with all HSEP (Health, Safety and Environmental Protection) rules and regulations, as well as SIFBI internal rules.

Job Requirements:

• Bachelor's degree in food science or Life Sciences, such as Biotechnology.
• Previous work or internship experience with laboratory work is preferable.
• Experience and preference for hands-on experimental work in a laboratory.
• Experience with microbiological and aseptic techniques. Experience with fermentation and bioreactors is advantageous.
• Experience with analytical techniques such as biochemical assays, spectroscopy and chromatography. Experience with PCR techniques is advantageous.
• Experience with software tools such as MS Office, Teams, MatLab, MiniTab, and various proprietary scientific soft wares such as for biotechnological and analytical equipment.
• The ideal candidate is passionate about science and sustainability, self-motivated, organised, detail-oriented, and has excellent communication and teamwork skills.

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.

Job Description

This is a full-time on-site role for a Research and Development Manager at Coval Technologies in Singapore. The Research and Development Manager will be responsible for leading R&D projects, managing research teams, and overseeing project execution. They will provide team leadership and contribute to the development of innovative nano coating technologies.

Qualifications

• A minimum of 10 years' experience with track record in formulating / developing new coating products with commercial release.
• Experience working with solvent-based paint chemistry
• Leadership abilities
• Experience in paint additive chemistry
• Project Management expertise
• Experience in industrial coating performance standards such as ISO, ASTM., etc.
• Strong analytical and problem-solving skills
• Excellent communication and interpersonal skills
• Ability to drive innovation and creativity in a team setting
• Experience in nanotechnology or surface coatings is a plus
• Advanced degree in Chemistry, Materials Science, or related field preferred

Job description

gTech Ads is responsible for all support and media and technical services for customers big and small across our entire Ad products stack. We help our customers get the most out of our Ad and Publisher products and guide them when they need help. We provide a range of services from enabling better self help and in-product support, to providing better support through interactions, setting up accounts and implementing ad campaigns, and providing media solutions for customers business and marketing needs and providing complex technical and measurement solutions along with consultative support for our large customers. These solutions range from bespoke and customized ones for our customers to scalable support for millions of customers worldwide. Based on the evolving needs of our ads customers, we partner with Sales, Product and Engineering teams within Google to develop better solutions, tools, and services to improve our products and enhance our client experience. As a cross-functional and global team, we ensure our customers get the best return on investment with Google and we remain a trusted partner.

Qualifications

Job responsibilities

• Lead data science aspects of client engagements in the area of marketing effectiveness and marketing portfolio management with deep knowledge of Machine Learning (ML) and statistics.
• Collaborate with customers to unpack their problems and identify the best statistical techniques that can solve the problem and own the development of modeling framework.
• Engage stakeholders to assess data and model readiness and be able to scale a proof-of-concept to a larger solution.
• Work with customers and internal teams to translate data and model results into tactical and strategic insights that are actionable for decision-making. Co-present to and work with clients to integrate recommendations into business processes.
• Collaborate with Product/Engineering teams to increase and optimize capabilities of our Applied Data Science team, employing methods which create opportunities for scale, proactively helping to drive innovation.

Minimum qualifications

• Bachelor's degree, or equivalent practical experience.
• 1 year of experience in a Data Science field.

Preferred qualifications

• Master's degree in Statistics, Mathematics, Bioinformatics, Economics, another quantitative field, or equivalent practical experience.
• Experience with data extraction and modeling tools (SQL, Python).
• Experience delivering insights from AI/ML and statistical solutions to clients, including problem scoping/definition, modeling and interpretation.
• Experience with statistical software (such as Python, R or MATLAB) and database languages (such as SQL) with understanding of Artificial Intelligence/Machine Learning (AI/ML).
• Understanding of the statistical algorithms typically used in Marketing Analytics.

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 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 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 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 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 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 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

Professor Rachel Zhang and Jean Zeng are seeking a qualified Research Assistant to support data-driven academic projects. Responsibilities include data collection, cleaning, aggregation, advanced econometric analysis, and assisting with research papers and reports. Candidates must have a master’s degree in Economics, Statistics, Data Science, or a related field, with strong coding skills (Python, R, or Stata) and expertise in econometric methods. Prior experience in research, statistical modeling, and data visualization is preferred. To apply, send a cover letter, CV, and a sample of your coding or analysis work.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

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

The Research Engineer (RE) will work closely with the Principal Investigator (PI) on visual navigation foundation model for mobile robots, exploration using reinforcement learning control, learning-based control, etc. The RE will develop and train algorithms that enable intelligent and robust autonomous navigation in unseen environments. Hardware experiments will be carried out to test and demonstrate the applications of the developed algorithms.

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

The candidates should have a Master’s degree from a reputable university, with expertise in robot learning, reinforcement learning, and aerial robotics.

A successful candidate should have a solid mathematical background (such as in calculus, linear algebra, ODE/PDE, optimization, real analysis, probability theory, stochastic process, etc). Strong publication records in leading journals and conferences of the relevant fields, and practical hands-on experience in applying visual foundation models to real mobile robots are required.

Qualifications

• Possess a master’s degree in Computer Engineering/Science or strictly related (e.g., either Electrical Engineering, Mathematics, Communication, Mechanical, etc.)
• Have research experiences in computer vision, vision foundation model, control theory, reinforcement learning.
• Possess a strong academic record proved through coursework (especially math-intensive courses) and projects during his/her undergraduate and master’s studies.
• Proficient in C++ or Python. Familiar with machine-learning tools and packages. Familiar with various 3D simulation environments for quadrotor simulations. Familiar with ROS and quadrotor control algorithms.
• Have well-established analytical and problem-solving skills, as documented by publications that are relevant to the field of robot navigation, reinforcement learning control for robotics applications.
• Excellent communication skills as he/she is required to publish and present results at conferences and journals independently.
• Activity performed in world-class research environments is highly valued.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

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

The Research Engineer (RE) will work closely with the Principal Investigator (PI) on visual navigation foundation model for mobile robots, exploration using reinforcement learning control, learning-based control, etc. The RE will develop and train algorithms that enable intelligent and robust autonomous navigation in unseen environments. Hardware experiments will be carried out to test and demonstrate the applications of the developed algorithms.

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

The candidates should have a Master’s degree from a reputable university, with expertise in robot learning, reinforcement learning, and aerial robotics.

A successful candidate should have a solid mathematical background (such as in calculus, linear algebra, ODE/PDE, optimization, real analysis, probability theory, stochastic process, etc). Strong publication records in leading journals and conferences of the relevant fields, and practical hands-on experience in applying visual foundation models to real mobile robots are required.

Qualifications

• Possess a master’s degree in Computer Engineering/Science or strictly related (e.g., either Electrical Engineering, Mathematics, Communication, Mechanical, etc.)
• Have research experiences in computer vision, vision foundation model, control theory, reinforcement learning.
• Possess a strong academic record proved through coursework (especially math-intensive courses) and projects during his/her undergraduate and master’s studies.
• Proficient in C++ or Python. Familiar with machine-learning tools and packages. Familiar with various 3D simulation environments for quadrotor simulations. Familiar with ROS and quadrotor control algorithms.
• Have well-established analytical and problem-solving skills, as documented by publications that are relevant to the field of robot navigation, reinforcement learning control for robotics applications.
• Excellent communication skills as he/she is required to publish and present results at conferences and journals independently.
• Activity performed in world-class research environments is highly valued.