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

• Design and synthesis of organic functional materials with persistent luminescence
• Design and synthesis of organic functional materials for theranostic applications
• Design and synthesis of nanomaterials for theranostic applications
• Cellular and bacteria studies to evaluate fluorescent probes
• Responsible for conducting high quality research, writing academic papers and collaboration with other researchers

Job Requirements

• Bachelor degree in Chemistry, Materials, Polymers and Chemical Engineering.
• Good knowledge in synthesis and characterization.
• Have good publication record and relevant research experience.
• Highly motivated and independent, strong problem-solving skills
• Good written and spoken communication
• Open to fixed-term contract

About us:

Data science is an important component of biomedical and translational research, where data of multiple modalities are being constantly generated at unprecedented scale. The Research Data Integration group in the Biomedical Datahub Division of the Bioinformatics Institute (BII), A*STAR, aims to bridge the complexity of computational biology and data science with the needs of biologists and clinicians to drive biological discoveries and predict translational outcomes. One of our immediate challenges is to analyze and integrate and analyze multi-omics, imaging and clinical data generated by biomedical institutes in A*STAR, healthcare institutions and national initiatives in Singapore to improve the usability and interpretability of large-scale multimodal datasets of cancer, metabolic diseases, and other diseases. We seek motivated individuals to join us to push the potential of biomedical data in truly benefitting patients.

Job description:

We are developing data platforms in BII Biomed DAR, integrating healthcare data including clinical and research data, for various diseases including cancer, metabolic diseases and skin diseases. We are seeking a computational scientist to develop analytical, statistical and machine learning methodologies and workflows for analysis and integration of large-scale multi-dimensional omics (bulk, single-cell, spatial), perturbation screens, imaging and clinical data) for these data platforms. The candidate is expected to drive data science research to uncover underlying diseases biology, druggable targets and develop personalized medicine approaches. This position offers the candidate an opportunity to work closely with a team of clinicians, wet-lab scientists and computational biologists. He/She is also expected to drive high impact publications and manage large-scale projects, include data management.

Requirements:

• PhD in Bioinformatics, Computational Biology, Data Science, Computer Science, Mathematics, Engineering or a related field.
• Proficient programming skills (e.g. Python, R, RStudio, Jupyter Notebook, Shinyapps).
• Familiarity with Unix/Linux environment and cloud architecture (AWS).
• Experience in large-scale omics (bulk, single-cell, spatial) data analysis and/or AI/ML.
• A background in life sciences, biology or biomedical informatics is preferred.
• Knowledge in data standards and interoperability.
• Strong analytical and problem-solving skills.
• Excellent oral and written communication and presentation skills.
• Able to work independently, and as part of a team, with a positive and enthusiastic learning attitude.
• Competent project and data management and organizational skills will be very valuable.

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.

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

Job Responsibilities:

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

Job Requirements:

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

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

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

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

We regret that only shortlisted candidates will be notified.

Job Description:

Introduction

The National University of Singapore Centre for Trusted Internet and Community (CTIC) is dedicated to the inter-disciplinary study of the Internet and its implications on the society of the future. The first-of-its-kind centre will integrate social and behavioural science research, digital technologies, data-driven approaches, and policy studies to holistically examine the Internet and its societal impact including topics such as the future of privacy, freedom of expression, misinformation and disinformation, as well as maintaining social security and stability.

This is an exciting opportunity to join us as a Research Fellow in Communication, Journalism, and Related programs under a new programme titled “Digital Information Resilience: Restoring Trust and Nudging Behaviours in Digitalisation”.

Job Description

As a Research Fellow in Communication, Journalism, and Related programs with CTIC, you have demonstrated prior research experience, so you will be tasked with supporting the planning and execution of a research project under the CTIC Digital Resilience research grant. You will work closely with the Principal Investigator on a research problem related to news on social media.
RAs with a communication research background will be tasked to focus on human evaluation and news consumption (Communication research).
Ras with a computer science or related background will be tasked to focus on natural language processing and generation (NLProc, Large Language Models or LLMs, Computational Linguistics).
You will be handling and contributing to research and innovative findings in a team, leading to publications in top-tier conferences/journals as well as exciting real-world implementations. The level of responsibility and independence entrusted would be commensurate with prior experience and academic qualifications.

Job Responsibilities

As a Research Fellow with CTIC, you will have the following duties:

Research:
• Plan and lead literature review efforts
• Plan and draft submissions for conferences and journals based on findings.
• Plan and write op-eds for university blogs and popular media.
• Comm Research RAs:
o Plan and conduct experiments on human perception and consumption of online news.
o Collect data and analyze it using tools like SPSS, R, and Excel
• CS Research RAs:
o Plan and conduct experiments on the modeling of different facets of news and news quality
o Train models, finetune LLMs, collect data and analyze it
• Write op-eds for university blogs and popular media.

Coordination:
• Plan and oversee participant recruitment and logistics for survey experiments
• Plan, manage and maintain IRB documentation.

Each research paper will have the following phases to it:
• Phase 1 – Literature reviews
• Phase 2 – CS research design, or Social Science research design, including IRB applications.
• Phase 3 – Data collection and pre-processing.
• Phase 4 – Data analysis and result tabulation.
• Phase 5 – Research communication and writing of papers.

Qualifications

• Minimum Master’s Degree in Computer Science or Communications (or in any other closely-related field).
• Minimum 2 years of relevant research experience with publications, in one or more of the following areas:
o Experience required for Computer Science degree holders
- Natural language processing, machine learning and/or knowledge representation and reasoning.
- Prior first- or second-author publications and/or technical reports or theses
o Experience required for Communications degree holders
- Advanced statistical tests (e.g. moderation/ mediation, hierarchical regression etc.)
- Running standard statistical tests (e.g., using SPSS or SATS or R, for regression, ANOVA, etc.)
- Prior first- or second-author publications and/or technical reports or theses

• A good team player with effective communication skills and the ability to work closely with faculty, staff, students and external collaborators.
• Excellent written and verbal communication skills.

• Proactive problem-solving skills and a forward-thinking approach.

• Demonstrated ability to manage time and data efficiently.

• Proven track record of consistently meeting deadlines and following up on tasks.

Please note that only shortlisted candidates will be notified.

Project Overview

We are seeking a Research Engineer to systematically organize knowledge for a project on “Designing human-AI teams.” The project is part of a five-year research program on "Mens, Manus and Machina—How AI Empowers People, Institutions and Cities in Singapore (M3S)."

Successful applicants for this position will have the opportunity to work on a cutting-edge, interdisciplinary project that aims to dramatically rethink how people and AI systems will work together in the future. To do this, the project seeks to build a strong scientific foundation for how AI can augment (as opposed to replace) humans.

An important goal of the project is to develop a rich ontology of activities that can be performed by human-AI teams. Like categorizing the plants and animals on a little-explored continent, the work will involve cataloging many (a) activities and (b) possible human-computer processes for performing these activities.

To do this, we will develop knowledge graphs that include (1) descriptions of many different types of activities and processes, and (2) classifications of these descriptions into multi-dimensional taxonomies that range from very general types of activities to very specific ones.

These knowledge graphs will then be used to automatically generate promising ways of combining humans and AI systems to perform different tasks. In the long run, we believe these tools will help rapidly (a) identify use cases for new AI capabilities, (b) specify effective processes and task allocations to humans and computers in a given situation, and (c) identify innovative ways to combine people and AI to solve business and societal problems.\

The T6 team is led by distinguished scholars, including Profs. Thomas Malone, Charles Fine, Armando Solar-Lezama, Jinhua Zhao, and Abdullah Almaatouq from MIT; Prof. Marcelo Ang from the National University of Singapore; and will be assisted by Prof. Archan Misra from Singapore Management University.

Responsibilities

• Developing descriptions of current or potential activities and processes based on various sources such as: interviews, field studies, literature reviews, and generative AI systems (such as ChatGPT).
• Making editorial decisions about what content from these sources to include in the knowledge graphs and how to present and organize this knowledge clearly.
• Collaborate with the project team and other researchers to design, implement, and evaluate research projects.
• Perform other duties as needed.

Requirements

- Bachelor’s or Master’s degree.

- Excellent communication and collaboration skills.

-Ability to systematically organize knowledge in structured ways that are logical, comprehensive, understandable, and conceptually elegant.

-Skilled in software development, good writing ability, statistical analysis, and social science methodologies such as experimental design or ethnographic observation.

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

Interested applicants are invited to send in their full CV/resume, cover letter and list of three references (to include reference names and contact information). We regret that only shortlisted candidates will be 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 successful candidate will work with Prof. Stephen Pointing on marine environmental microbiology under a project on “ Characterising the role of the sea-surface microlayer in regulating microbial dispersal, human exposure, and pollutant transformation”.

The main responsibilities of the position include:
Marine fieldwork, molecular laboratory work on metagenomes and metatranscriptomes

Qualifications

• Qualifications / Discipline: PhD

• Skills: Marine fieldwork, molecular biology lab skills, bioinformatics computational skills

• Experience: ≥1yr postdoctoral research experience

A Research Fellow position in enzyme engineering/synthetic biology for CNegSAF project is available at the Campus for Research Excellence and Technological Enterprise (CREATE) in Singapore.

CNegSAF PROJECT

CNegSAF Project: Carbon Negative production of advanced Sustainable Aviation Fuels using twin synthetic bacterial consortia

Hosted by CNRS@CREATE, the program ‘Carbon Negative production of advanced Sustainable Aviation Fuels using twin synthetic bacterial consortia Project’ (CNegSAF) is an international collaboration between world leading institutions in France and Singapore including CNRS, Toulouse Biotechnology Institute (TBI), National University of Singapore, A*Star (SIFBI), and Nanyang Technological University. CNegSAF aims to demonstrate the feasibility of using a synthetic bacterial consortium to convert green hydrogen and concentrated waste CO2 (released by chemicals companies) into sustainable aviation biofuels. This innovative research program has the potential to significantly contribute to Singapore’s and the world net-zero emissions target while supplying sustainable aviation fuels to the aviation industry.

Read more about the CNegSAF project here.

DESCRIPTION

To join this team, we are looking for a candidate who will be in charge of enzyme engineering activities using state-of-the-art evolutionary engineering and computational enzyme design techniques. The candidate will be involved in the development of screening protocols, construction and screening of enzyme libraries, designed by in silico molecular modelling. These enzymes will be further used for the creation of novel metabolic pathways for terpenoid production in engineered bacterial strains.
The perspective researcher will work in a multidisciplinary environment with access to high-throughput screening equipments (both in Singapore and Toulouse, France) and have frequent and strong interactions with other scientists involved in metabolic engineering, pathway engineering and computational enzyme design.

EXPERIENCE & QUALIFICATIONS

• PhD in Molecular Biology, Biochemistry, Biochemical engineering or related field
• Experience with enzyme engineering and enzyme library construction
• Expertise with HT screening, assay design and development and trouble shooting
• Experience in structural biology and molecular modelling/computational enzyme design would be a plus
• Preferred experience with protein production, purification, characterization and crystallization knowledge
• Preferred experience with metabolic engineering/synthetic biology background
• Strong communication with structured reporting and organizational skills
• enjoy working in a team-oriented environment
• Good English skills are required.

FURTHER INFORMATION & CONTACT

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

The position is available starting February 2025 and for a duration of up to three years. The position will be mainly based in Singapore with possible visiting stays in Toulouse, France.

Applicants should send as soon as possible CV, summary of previous research and contact addresses of two references to:
Isabelle ANDRÉ (TBI, Toulouse, France): [email protected]
Xixian CHEN (A*-SIFBI, Singapore) : [email protected]
Bo XUE (SynCTI-NUS, Singapore): [email protected]
Thomas Lautier (TBI, Toulouse, France): [email protected]

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

• Catalysts Synthesis
• Single Atom Catalysis
• Laser Scanning Ablation
• Polymer Synthesis
• Biomaterials Synthesis and Degradation
• Recycling and upcycling of polymers
• Mentor PhD students
• Draft grant proposals
• Oversee lab safety

Job Requirements

• PhD degree in chemistry, materials science and engineering, or chemical engineering.
• Ample research experience in catalyst design and synthesis (particularly single atom catalysts and metal oxide catalysts), high entropy nanomaterials
• Ample research experience in polymer synthesis (particularly ATRP, RAFT and ROMP), biomaterials synthesis, and recycling and upcycling of polymers and biomaterials
• Solid background/experience in polymeric materials and polymer recycling and upcycling.
• Excellent communication and writing skills
• Strong publication record
• Prior undergraduate and master students mentoring experience

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

Job Responsibilities:

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

Job Requirements:

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

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

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 Information Systems and Analytics, 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 and lab members on one or more research projects. He/she should possess experience or interest in the area of emerging technologies for healthcare.

Key responsibilities:

• Familiarize with the research objectives and methodologies
• Conduct an in-depth literature review to identify gaps and opportunities in related work
• Initiate data collection and preprocessing for large-scale datasets from diverse domains
• Design, implement, and validate advanced models to address core research questions
• Develop initial drafts of research manuscripts based on findings

Qualifications

• A PhD degree in the relevant area (or be on track to acquiring one before starting as a Fellow)
• Have substantial 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

As a Research Assistant in Urban Planning Algorithms, you will be responsible for developing innovative algorithms and formulations to address complex urban planning problems. You will work closely with urban planners, data scientists, and other stakeholders to understand the practical constraints and challenges faced in urban planning. Your role will involve:

• Developing and refining algorithms and mathematical formulations to solve urban planning problems, such as traffic flow optimization, land use allocation, and resource distribution.

• Analyzing and interpreting data from various sources, including geospatial data, demographic information, and transportation networks, to inform algorithm development.

• Collaborating with interdisciplinary teams to ensure that algorithms are practical, scalable, and aligned with the goals of urban planners

• Implementing and testing algorithms using appropriate software tools and programming languages, such as Python or R.
• Documenting your work and presenting findings to stakeholders, including urban planners, policymakers, and the public.

Qualifications

To be successful in this role, you will need to have a strong background in computer science, mathematics, or a related field, with a focus on algorithm development and optimization. Additional qualifications include:

• Proficiency in developing and refining algorithms and mathematical formulations to solve complex problems.
• Strong analytical and problem-solving skills, with the ability to think critically and creatively.
• Proficiency in programming languages such as Python, MATLAB, or R, and experience with software tools for algorithm implementation and testing.
• Strong communication skills, with the ability to explain technical concepts to non-technical stakeholders and present findings effectively.
• A commitment to collaborative work and the ability to work effectively in interdisciplinary teams.
• A Bachelor’s degree in Computer Science, Mathematics, Operations Research, or a related field

Job Description:

Be part of an exciting FAB Team working on cutting-edge advanced packaging process technologies. Partner and work with various teams in IME, to be the lead in FAB inventory management, logistic planning, and its related operations to always enable smooth operations and develop packaging solutions and taking the solutions from concept to production.

This position is based in Singapore.

Responsibilities:

• Looking for a reliable, agile, resourceful, meticulous and professional individual.
• Lead in plan, sourcing and initiate - raise purchase requests accordingly to day-to-day materials / spare parts requirements to ensure stock adequacies, required to ensure smooth Fab operations.
• Follow through the orders from the start of purchase till delivery and to ensure that goods are delivered are on time (include coordination of shipments etc. with forwarders when required etc.)
• Provide good supports on logistics and inventory movements required to enable smooth FAB cleanroom operations.
• Excellent interpersonal skills and communication skills so to work seamlessly with various stakeholders to ensure inventory adequacy and logistics efficiencies.
• Self-starter with strong ability to work with own initiative under minimal supervision.
• Process strong sense of customer service mind-set and teamwork.
• Strong flexibility and ability to handle multiple requests from across teams.
• Good communication, analytical, problem-solving skills.
• Put-up good initiatives to move forward towards systematic inventory digitalization.
• Ability to work in a multi-task environment and perform other duties assigned by Department Managers.

Experience:

• Education: Diploma in engineering discipline. Preferably in procurement, supply chain logistic/ warehouse operation.
• At least 3 years of related semiconductor engineering experiences; with good wide contacts with semiconductor material suppliers, equipment vendors.
• Relevant experience in analytics or strategic reporting will be an advantage.

The successful candidate will be a member of a translational team investigating and designing RNAi therapeutics for various epithelial disorders.

Responsibilities:

• Involvement in projects related to epithelial disorders.
• Perform wet lab experiments using techniques in molecular biology including immunohistochemical analysis, in situ hybridization and microscopy.
• Perform husbandry and genotyping of the laboratory’s mouse colony.
• Provide laboratory maintenance support and procurement activities.

Requirements:

• Bachelor’s degree in Life Sciences/Biomedical Sciences/Biological Sciences or related fields
• Experience in a laboratory environment.
• Willing to work with mouse models; prior experience is a plus.
• Excellent organizational and interpersonal skills and attention to details.
• Excellent oral and written communication skills.
• Highly motivated and passion for research.

As the Research Engineer (Equipment/Operations), you are directly involved in tool installation activities for semiconductor process tools. You would need to work proactively to coordinate with the contractor on the ground for the execution and take corrective and preventive actions of lessons learned, due diligently to prevent reoccurrence. You are responsible for performing utilities turn-on after installation is completed. You must perform the activities per ASTAR site procedure and safety policies to ensure all tool-install-related activities are completed, meeting safety, quality, schedule and budget requirements. You will also be required to perform other activities such as operations for the different semiconductor modules (Diffusion, Litho, Dry/Wet Etch, Thin Film, Implant, etc).

Responsibilities:

• Coordinate with all tool-install base contractors to execute equipment hookup for new tools, to meet the high-quality standards, dynamic schedule, and forecasted budget.
• Coordinate with the Project owner (NGTC/APM) to facilitate utility release as per the planned schedule and update tool release status timely
• Follow all safety and environmental procedures to ensure compliance with EHS-related regulations, risk assessment, safe work procedures, and permit-to-work system.
• Play an active role in safety, actively participating in safety discussions and safe work practices.
• Establish regular area walks to identify opportunities for improved safety, cleanliness, housekeeping and , efficiency
• Establish regular, working interaction with peers as well as vendors in tool installation & facilitation, communicating clearly and respectfully all relevant information.
• Keep the reporting officer informed regarding the progress of assigned work and any abnormalities observed in your area.
• Demonstrate ability to understand drawing and highlighting discrepancies
• Follow area-specific procedures and documentation
• Prioritize work tasks to meet schedule and expectations, minimum guidance
• Perform tool tool-relativities and cleanroom systems troubleshooting during the hookup phase
• To perform equipment trouble-shooting of the equipments in NGTC when the need arises
• To perform utility-on after installation completion and to work closely with LCAM for complete closure
• To perform tests balancing of exhaust for new tools whenever necessary
• To perform measures for tool consumption during the hookup phase and to work closely with LCAM
• Use methods to organize, calculate, and display data accurately for utility and flowrate measurement
• Perform site activities in accordance to the Discipline

Requirements:

• Degree/Diploma in Mechanical/Electrical/Chemical engineering or equivalent
• Semiconductor experience (Equipment & Process)
• Facilities field or Wafer Fab Manufacturing equipment background will be an advantage.
• AutoCAD

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 Department of Food Science & Technology at the National University of Singapore (NUS) invites applications for Instructor position.

Roles and responsibilities of the position include:
a) Developing and conducting lab modules for New Product Development and Food Engineering related modules.
b) Conduct some lecture and/or tutorial for the modules.
c) Perform trial runs, time tabling coordinating, TAs allocation, arranging training plans etc.
d) Assessment and report marking.
e) Serving as Instructor for other FST modules (such as running FST1101 tutorials) whenever needed.
f) developing /organizing summer training programme or short lab training courses to public if need arises.
g) Participate in other department activities.

What we can offer: competitive salary that commensurate with experience plus CPF, annual leave & performance bonus.
Contract term: Three years in first instance, renewable.

Qualifications

PhD degree in food science and technology with broad set of hands-on experimental skills related to food chemistry, food processing, food analysis, and cell and molecular biology. Strong interpersonal skills and passionate in teaching.

BSc degree with high distinction and strong teaching experience may apply.

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:

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

We are developing an ambitious project on quantum processors based on a neutral atom array (NAA). The Visiting Associate Professor will explore numerically and experimentally sub-Doppler laser cooling as Polarization-gradient cooling, grey molasses, and Raman sideband cooling.

Job Requirements

• PhD in cold atoms gas or related topic;
• At least 4 years of experience as a research fellow or equivalent in cold atoms labs;
• Strong expertise in laser stabilisation;
• Strong expertise in experimental techniques related to cold atoms, such as: Vacuum, laser system, optics, interface.

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:

Energy Studies Institute

The Energy Studies Institute (ESI) is a research institute at the National University of Singapore seeking to advance the understanding of energy policy issues by conducting independent research and analysis. We are looking for researchers to join a multi-disciplinary team carrying out research projects on a range of energy issues that are of concern to Singapore and the region.

The Institute is looking to recruit a researcher with expertise in energy economics and policy at the rank of Research Associate. The appointed staff will operate under the responsibility of the Institute Head and work closely with all members across each of the institute’s divisions.

Candidates are expected to be highly familiar with:

1. climate change and decarbonisation issues; and
2. quantitative or qualitative analysis methods.

An understanding of Singapore's economic system and local work experience is desirable.

Job Description

The specific area of work will depend on the priorities of the institute at any given point in time. In the near term, to support ongoing and expanding future research within the institute, the appointed candidate will be expected to commit to analysing various energy transition and carbon mitigation policies. Examples of priority areas include:

• Comparative evaluation of renewable energy deployment policies and potential;
• Economic and geopolitical analysis of energy supply chain and energy supply security;
• Assessment of carbon pricing and carbon markets.

The above list is not exhaustive, moreover, at any given point in time the institute undertakes multiple projects in parallel and opportunity will exist to participate in a variety of workstreams that align with your interests.

Job Requirements

• Possess a Master's degree in economics, public policy, international relations, political science, law or other related fields, with specific application to energy, environmental or climate issues, or possess a Bachelor’s degree with at least 2 years of relevant work experience.
• Applicants should have demonstrated experience in quantitative and/or qualitative policy analysis and are expected to have an adequate understanding of various econometric methodologies. Expected skillsets include one of the following:Econometric methods for causal inference;
  Data science and machine learning;
  Survey design and analysis;
  Qualitative analysis skills specialized in policy and geopolitics
• A good contemporary understanding and interest in energy technologies and issues. Expected areas could include but are not limited to:Biofuels;
  Nuclear energy;
  Geothermal;
  Energy storage
• Relevant working and practical experience in industry or government agencies in the area of energy and environment would be valuable.
• Track record of publications in reputable journals would be an advantage.
• Able to work independently and as part of a team.
• Have a strong written and oral command of the English language.

Application Process

To apply for this position, please combine the following documents in 1 PDF and attach it under the CV column when submitting your application:

• Curriculum vitae
• A cover letter, of no more than 800 words, explaining the applicant’s past research experience and aptitude in relation to the research work

Interested candidates, please submit your application with all the required documents.

Only shortlisted applicants will be notified. Shortlisted applicants may be called for an interview, either in person or by zoom, as appropriate. If you have not heard from us within 3 months, you should assume that your application has not been successful.

Prof George Augustine Group: Assistant Research Officer

Serve as technician in brain research laboratory, with special emphasis on maintaining our mouse colony.

Responsibilities:

• Responsible for animal husbandry and maintenance of various transgenic mouse models. Prepare animal protocols such as drafting of IACUC amendment and SOPs for institutional approval.
• To perform molecular biology techniques, such as genotyping (DNA work), PCR and gel electrophoresis.
• Assist in daily lab activities such as preparation of buffers and administrative duties.
• Maintain accurate records of mice genotype results, experimental data, or related paperwork.

Requirements:

• BS degree in Biology, Biotechnology, or related field.
• Previous experience as lab technician desirable

Salary and benefits are commensurable to educational qualifications and working experience of the candidate. Benefits include annual leave, medical and flexi-benefits, etc.

Interested individuals should send their applicants (including a cover letter, curriculum vitae with list of publications and two referees’ contacts/ recommendation letters) to:

Prof George AUGUSTINE

Temasek Senior Investigator

Temasek Life Sciences Laboratory Ltd
Email: [email protected]

(Please note 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:

Energy Studies Institute

The Energy Studies Institute (ESI) is a research institute at the National University of Singapore seeking to advance the understanding of energy policy issues by conducting independent research and analysis. We are looking for researchers to join a multi-disciplinary team carrying out research projects on a range of energy issues that are of concern to Singapore and the region.

The Institute is looking to recruit a researcher with expertise in energy economics and policy at the rank of Research Fellow. The appointed staff will operate under the responsibility of the Institute Head and work closely with all members across each of the institute’s divisions.

Candidates are expected to be highly familiar with:

1. climate change and decarbonisation issues; and
2. quantitative or qualitative analysis methods.

An understanding of Singapore's economic system and local work experience is desirable.

Job Description

The specific area of work will depend on the priorities of the institute at any given point in time. In the near term, to support ongoing and expanding future research within the institute, the appointed candidate will be expected to commit to analysing various energy transition and carbon mitigation policies. Examples of priority areas include:

• Comparative evaluation of renewable energy deployment policies and potential;
• Economic and geopolitical analysis of energy supply chain and energy supply security;
• Assessment of carbon pricing and carbon markets.

The above list is not exhaustive, moreover, at any given point in time the institute undertakes multiple projects in parallel and opportunity will exist to participate in a variety of workstreams that align with your interests.

Job Requirements

• Possess a PhD degree in economics, public policy, international relations, political science, law or other related fields, with specific application to energy, environmental or climate issues.
• Relevant work experience of a minimum 2 years, preferably in academia, consulting or in policy review and formulation.
• Applicants should have demonstrated experience in quantitative and/or qualitative policy analysis and are expected to have an adequate understanding of various econometric methodologies. Expected skillsets include one of the following:Econometric methods for causal inference;
  Data science and machine learning;
  Survey design and analysis;
  Qualitative analysis skills specialized in policy and geopolitics
• A good contemporary understanding and interest in energy technologies and issues. Expected areas could include but are not limited to:Biofuels;
  Nuclear energy;
  Geothermal;
  Energy storage
• Relevant working and practical experience in industry or government agencies in the area of energy and environment would be valuable.
• Track record of publications in reputable journals would be an advantage.
• Able to work independently and as part of a team.
• Have a strong written and oral command of the English language.

Application Process

To apply for this position, please combine the following documents in 1 PDF and attach it under the CV column when submitting your application:

• Curriculum vitae
• A cover letter, of no more than 800 words, explaining the applicant’s past research experience and aptitude in relation to the research work

Interested candidates, please submit your application with all the required documents. Only shortlisted applicants will be notified. Shortlisted applicants may be called for interview, either in person or by zoom, as appropriate. If you have not heard from us within 3 months, you should assume that your application has not been successful.

We are looking for a highly motivated individual who is able to work productively and independently with a keen interest in plant sciences.

Requirements:

· BSc (Hons) or MSc in Biological Sciences, Biotechnology, or related fields

· Experience with molecular biology, biochemistry or plant tissue culture/transformation is preferred

· Ability to work both independently and collaboratively

· Interest in learning and exploring new subjects

· Good written and oral communication skills

Salary and benefits are commensurable to the educational qualifications and working experience of the candidate. Benefits include annual leave, medical and flexi-benefits, etc.

Interested individuals should send their applications (including a cover letter, curriculum vitae and two recommendation letters) to:

Dr JANG In-Cheol

Senior Principal Investigator

Temasek Life Sciences Laboratory Limited

Email: [email protected]

(Please note that only shortlisted candidates will be notified)

Job Description

· Collaborate with cross-functional teams such as Mechanical Engineers, Test Engineers, Lab Technicians, and Project Engineers to execute ocean basin model testing projects, such as floating offshore wind projects.

· Analyse and comprehend project requirements related to hydrodynamic testing, model instrumentation, and data acquisition.

· Select and implement suitable data acquisition systems, control system design, and develop software architecture specific to ocean model testing needs.

· Develop and maintain application software for new ocean basin test setups and custom test requirements.

· Upgrade existing software systems to accommodate new test protocols or methodologies for ocean model testing.

· Choose appropriate sensors for wave, current, and motion measurements, ensuring seamless integration with control systems and software.

· Create and update documentation, including software designs, changes, user manuals, and standard operating procedures (SOPs) for ocean model tests.

· Upgrade LabVIEW-based software applications to newer versions, ensuring they meet the latest testing requirements.

· Troubleshoot and resolve issues in control systems, data acquisition, and software during model testing.

· Test and validate application software before deployment to the ocean basin test setup.

· Prepare comprehensive user manuals, SOPs, and provide training for test engineers to ensure smooth operation of the test environment.

Job Requirements

· Minimum qualification: Bachelor of Engineering (BEng) / Bachelor of Technology (BTech) in Electronics, Electrical, Instrumentation, or Computer Science with at least 2 years of relevant experience, particularly in LabVIEW.

· Proficiency in different versions of LabVIEW, including the latest versions with relevant toolkits.

· Experience in designing and developing NI LabVIEW-based data acquisition and control systems for ocean basin model testing or similar environments.

· Proven ability to develop modular and scalable applications using LabVIEW?s standard architecture.

· Experience in developing LabVIEW applications for Windows and Real-Time (RT) Linux environments.

· Proficiency in integrating NI hardware systems such as PXI, cRIO, and CompactDAQ into the testing framework.

· Hands-on experience with communication protocols like TCP/IP, UDP, Serial, USB, CAN, and EtherCAT for testing and control purposes.

· Experience with integrating third-party programmable instruments (e.g., multimeters, power supplies, oscilloscopes) and controllers into ocean testing setups.

· Experience in developing NI software drivers for third-party hardware and integrating third-party software with LabVIEW.

· Knowledge in selecting, wiring, and troubleshooting sensors used in hydrodynamic and ocean model testing (e.g., pressure sensors, accelerometers, flow meters).

· Experience in reading control panel schematics, designing control systems, and selecting appropriate control panel hardware for model testing.

· Strong team player with the ability to work independently and collaborate in cross-functional project teams.

· Experience interfacing induction motors with VFDs and control systems, with knowledge of VFD configuration for use in testing environments.

· Strong troubleshooting skills at the signal and system level for data acquisition and automated test systems.

· Excellent documentation skills for capturing test requirements, preparing software designs, and writing user manuals.

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.

Recipient of the esteemed International Translational Neuroscience Award, Dr. Yan, a pioneer in Brain Tumor research, joins IMCB to establish the NeuroPhenomics Lab. This lab marks a new chapter in our quest for profound biological insights and their translation into biomarkers and therapies.

The labs mission revolves around a profound exploration of brain tumor biology, particularly focusing on key driver mutations like IDH1 and IDH2. These mutations, significant in the development of aggressive malignant gliomas, are pivotal in altering chromatin and genome methylation, thus influencing tumor evolution. The lab extends this research by identifying other genetic alterations with potential clinical relevance.

Dedicated to exploring new frontiers, the NeuroPhenomics Lab integrates advanced techniques in genetics, epigenetics, and metabolomics at both single-cell and spatial levels. This approach allows for a detailed examination of tumor cell diversity and their interactions within the microenvironment. The lab also investigates neurometabolism, emphasizing the TCA cycle and IDH enzymes, and studies how metabolites affect the brain and tumor progression.

Aiming to bridge research and clinical application, the lab"s multi-dimensional strategy includes iPSCs, patient-derived organoids, transgenic models, and advanced imaging technologies. This positions the NeuroPhenomics Lab at the forefront of developing transformative therapies in neurooncology and neurometabolism.

Key Qualifications:

• Ph.D. with experienced individuals in a related field, with a research focus.
• Experience in any of the following areas:
  • Cancer Biology or Cancer Immunology
  • Single-cell sequencing and spatial-omics data
  • Computational structural biology and protein design
  • Developing generative AI models
  • Computer-aided drug discovery
• Exceptional analytical, technical, and problem-solving skills
• Ability to work independently and thrive in a dynamic team environment

We look forward to welcoming you to our team and driving forward groundbreaking research in brain tumor genomics.

This position is for a full-time Research Fellow in the Coronavirus Lab led by Assistant Professor Mart Lamers in The Signature Research Programme in Emerging Infectious Diseases (EID). Our team uses cutting-edge technology (e.g. organoids, CRISPR, and single cell omics) to understand coronavirus-host interactions relevant to pandemic potential and pathogenesis.

We welcome applications from candidates with a strong background in Virology, Immunology, Cell Biology or Stem Cell Biology. The candidate is expected to play a critical role in generating and fostering a cutting-edge, interdisciplinary research environment by performing a variety of research under the supervision of the Principal Investigator or his/her designate. The main duties and responsibilities will include but not limited to the following:

• Independently carry out the design and execution of high precision in vitro experiments related to coronavirus biology and (immuno)pathogenesis.
• Interface and network with clinical counterparts and team members to achieve the goals of the project.
• Write and review research papers, present research outcomes, conceptualise new ideas and develop plans for research that could have a considerable influence and impact on the relevant field.
• Provide support for external grant and protocol development, study design and management of research activities.
• Demonstrate and present research output.
• Provide guidance and mentorship to graduate students and research assistants.
• Perform other related duties incidental to the work described therein.

Job Requirements

• PhD in Immunology, Vaccinology, Virology, Cell Biology, or Stem Cell Biology or a related biomedical field.
• Willing to be trained to work in a biosafety level 3 containment laboratory. Prior BSL-3 experience would be advantageous.
• Prior experience in immunology, gene editing, stem cell biology, or bioinformatics would be advantageous.
• Possess excellent quantitative, analytical and organisational skills.
• A strong team player who is open-minded, energetic, highly motivated and can work collaboratively in an interdisciplinary team and diverse workforce.
• Commitment to team science.

We regret that only shortlisted candidates will be notified.

Recipient of the esteemed International Translational Neuroscience Award, Dr. Yan, a pioneer in Brain Tumor research, joins IMCB to establish the NeuroPhenomics Lab. This lab marks a new chapter in our quest for profound biological insights and their translation into biomarkers and therapies.

The lab"s mission revolves around a profound exploration of brain tumor biology, particularly focusing on key driver mutations like IDH1 and IDH2. These mutations, significant in the development of aggressive malignant gliomas, are pivotal in altering chromatin and genome methylation, thus influencing tumor evolution. The lab extends this research by identifying other genetic alterations with potential clinical relevance.

Dedicated to exploring new frontiers, the NeuroPhenomics Lab integrates advanced techniques in genetics, epigenetics, and metabolomics at both single-cell and spatial levels. This approach allows for a detailed examination of tumor cell diversity and their interactions within the microenvironment. The lab also investigates neurometabolism, emphasizing the TCA cycle and IDH enzymes, and studies how metabolites affect the brain and tumor progression.

Aiming to bridge research and clinical application, the lab"s multi-dimensional strategy includes iPSCs, patient-derived organoids, transgenic models, and advanced imaging technologies. This positions the NeuroPhenomics Lab at the forefront of developing transformative therapies in neurooncology and neurometabolism.

Key Qualifications:

• Ph.D. with experienced individuals in a related field, with a research focus.
• Experience in any of the following areas:
  • Cancer Biology or Cancer Immunology
  • Single-cell sequencing and spatial-omics data
  • Computational structural biology and protein design
  • Developing generative AI models
  • Computer-aided drug discovery
• Exceptional analytical, technical, and problem-solving skills
• Ability to work independently and thrive in a dynamic team environment

We look forward to welcoming you to our team and driving forward groundbreaking research in brain tumor genomics.

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

SIA-NUS Digital Aviation Lab at the National University of Singapore (NUS) offers an exciting opportunity for a highly motivated Research Engineer (UX Designer/Researcher) within Work Package 4. The work package focuses on developing innovations in the following key strategic areas related to passengers’ inflight experience, mainly in Enhancements to SIA’s Cabin Seat Product Offerings, Novel Features for SIA’s Next Generation Aircraft Cabins for Sleep Improvement and Pushing SIA’s Superior Customer Experience to New Heights with an Advanced Connected Cabin.

The duties and responsibilities for this role includes working collaboratively with a multi-disciplinary team to develop and execute strategies that ensure the successful delivery of project goals outlined in the brief. As a UX Designer, you will be responsible fin supporting the team in developing innovative, desirable, and feasible design solutions and concepts that meet the business needs while bringing customer experiences to greater heights. One of the key role is to conduct research and develop new framework and strategies in new area of interest as identified by the PI.

As a UX Designer/Researcher, your key responsibility will be:

• Support the development of current and new projects.
• Conduct research and develop frameworks in new topics of interest as identify by the PI.
• Develop strategies such as probes, workshops, or teaching platforms to test and develop these frameworks.
• Conduct probes, workshops and teaching activities above.
• Data collections
• Assist PI in collating research material for communication and publication.
• Assist in conducting studies and experiments when necessary.

Requirements

The university values courage and creative, openness and engagement, inclusion and diversity, and respect and integrity. As such, we see the importance of recruiting talent aligned to those values and are looking for a suitable candidate who has:

• Bachelor’s degree in industrial Design, Design, Anthropology, Psychology, Sociology or related disciplines.
• Possess excellent interpersonal and communication skills.
• Strong organizational skills. Ability to manage projects with various stakeholders.
• Am comfortable in working within a self-directed culture and navigating ambiguity.
• Previously worked in projects related to delivering better customer experience or UI/UX experience is a plus.
• Proficient with prototyping software such as Figma, Adobe XD. Ability to CAD and handle 3D prototype is a bonus.
• Ability to conduct secondary research. Ability to analyze and syntheses research materials.
• Good writing and presentation skills.
• Openness to critique from other disciplines.
• Have empathy and curiosity for how great brands, businesses and organization navigate innovation and design.
• Experience with unique and novel research tools, methods of uncovering key insights, and proposing of new concepts.