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 Assoc. Prof. Li Cheng on scalable Bayesian Gaussian process modeling for spatiotemporal data under a project on “Enhancing Scalability of Bayesian Gaussian Process Models”.

The main responsibilities of the position include:
- literature review on the statistical methodology of modeling non-Gaussian data;
- developing new Bayesian Gaussian process based models and scalable computational algorithms for non-Gaussian spatial and spatiotemporal data;
- coding and conducting numerical experiments related to the main topic.

Qualifications

• Qualifications / Discipline:
Recognised Bachelor / Master degree in Mathematics, Statistics, Data Science and related fields.

• Skills:
- Familiar with the methodology and computation of Gaussian processes;
- Strong programming skills in R, Rcpp, or Julia.

• Experience:
Nil

Responsibilities :

• Responsible for sales & marketing of scientific, laboratory & research instruments to the scientific research community and industries
• Engage key account customers, source out new accounts and other business opportunities
• Provide excellent customer service through product knowledge, handling inquiries and eventual sales order
• Managing product lines from strategic planning to tactical activities

Requirements:

• Degree in any Science discipline (Materials Science, Nanotechnology, Physics, Chemistry, Chemical Engineering, or related field)
• Preferably with at least 1 year of sales experience in the relevant industries
• Candidates without experience are welcome as training will be provided
• Dynamic, self-motivated with excellent interpersonal, comunication and presentation skills
• A team player who is resourceful and able to multi-task

Responsibilities

• Prepare sales proposals/quotations and project bids
• On-site visits/services as required
• Liaise with client/contractors/consultants on projects related issues/meetings/presentations
• Responsible for development and management of project related sales
• Other ad-hoc duties as and when directed by the management

Requirements

• Candidate must possess at least a Diploma or Degree in Engineering (Electrical/Electronic) or equivalent.
• Experience in electrical work installation and troubleshooting will be an advantage
• Experience in project management are welcome to apply
• Good technical knowledge to handle consultants and contractors
• Good problem solving and communication skills
• At least 1 year of working experience in the related field is required for this position

• Responsible for installation, commissioning, routine maintenance, trouble-shoot and repair of scientific equipment

• Prepare service test report and IQ/OQ documents for customers

• Prepare service quotation for maintenance and repair works

• Provide excellent customer service through product knowledge, handling customer feedback, prompt response and working closely with sales engineers

• Liaising with principals or suppliers for technical issues

• To take ownership for all assigned projects and assist in other jobs when required

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 Lee Kuan Yew School of Public Policy is seeking Research Associate(s) who will assist with ongoing projects in the field of social science, including financial literacy, economics of aging, social security, and public policy.

The successful candidate should have an interest in one or more of the above-listed topics, as well as the ability to work independently with minimal supervision and a strong willingness to learn about new topics. The candidate must demonstrate good competence in quantitative research methods, and be proficient with statistical software such as STATA or R. Excellent written and spoken English is essential.

This position requires a minimum of two years of past research experience as a full-time RA (in any field). This position requires working with large datasets and caters to individuals who are looking to develop a career or pursue further studies in the fields of public policy or social science research. The Research Associate will work directly with Asst Professor Joelle Fong.

Responsibilities & Requirements

Responsibilities of the full-time Research Associate include:

• Research support for projects under a 5-year research programme
• Conduct literature reviews.
• Perform quantitative data analysis on research projects.
• Independently collect and manage primary and/or secondary data for research projects.
• Contribute to writing research reports, policy briefs, and journal articles
• Prepare manuscripts for submission, and other administrative work.

Job Requirements:

• Have a Master’s degree in Statistics, Economics, Finance, or Sociology from a reputable university.
• Minimum of two years of past research experience as a full-time RA (in any field).
• Demonstrate strong programming skills using either Stata or R (experience with other programs is a plus).
• Excellent spoken and written English.
• Self-motivated and attention to detail.
• Able to commit to at least 1 year of service.
• This is a one-year fixed-term appointment, with the possibility of renewal.
• Optional: Familiarity with social policies on retirement and health is a plus.

Invitation to apply:

• Cover letter, with a brief statement of relevant research experience
• Curriculum vitae (four-page max).
• Two writing samples (e.g. essays, written reports, short articles).
• Two references/letters of recommendation from academic referees. Applicants must arrange for their referees to separately email their references.

Your cover letter should include details such as your highest qualifications, past research experience, last drawn salary (if applicable), expected salary, and country of citizenship. Please also state when you can begin work, if you are selected for the role.

(We thank all applicants for their interest; however, only shortlisted candidates will be contacted for an interview.)

Inivtation to apply:

Invitation to apply:

Interested applicants are invited to send the following list of documents via NUS Career Portal.

• Cover letter, with a brief statement of relevant research experience
• Curriculum vitae (four-page max).
• Two writing samples (e.g. essays, written reports, short articles).
• Two references/letters of recommendation from academic referees. Applicants must arrange for their referees to separately email their references.

Your cover letter should include details such as your highest qualifications, past research experience, last drawn salary (if applicable), expected salary, and country of citizenship. Please also state when you can begin work, if you are selected for the role.

Summary

Are you passionate about analyzing data patterns for large scale search engines? As part of ASE, you will be a product expert and analyze of a diverse portfolio of Apple Media Product machine learning model (algorithms) evaluations. The team represents the user’s perspective as they vet new features being introduced to AMP. Your day-to-day responsibilities will include analyzing and creating innovative ideas to help launch new features being introduced to Apple Service, and reporting systematic issues to leadership, engineering, and product teams.

Key Qualifications

• 10+ years of experience working with systems and products that are powered by machine-learned models and an understanding of natural language or speech-enabled products
• 10+ years of experience with model evaluation (information retrieval evaluation, recommender system evaluation, etc. )
• 7+ years of direct people management, demonstrated coaching and mentoring capabilities
• Research experience in regards to evaluation methodologies, evaluation metrics (NDCG, MRR, recall, precision, F-score, Precision@k)
• A demonstrated passion for data analysis, data-informed product innovation, building and shaping data culture
• You use good judgment balancing art and science when visually communicating information (e.g. Tableau, Superset, ggplot, D3).
• Capable of driving projects of varying sizes and scopes - some will take months and some weeks — and you will need to know when to dive deep
• Deep understanding of the software development for machine-learned products and services, and how analytics and human evaluation data can help improve those products
• Ability to manage complex relationships across multiple functions and establish strong partnerships. Outstanding communication and presentation skills, written and verbal, to all levels of an organization
• Good product sense, with the ability to translate between product goals, business goals and technical requirements for data analytics
• Self-motivated and proactive, with demonstrated creative and critical thinking capabilities
• Innate capability to, directly and indirectly, lead large teams for success

Preferred Qualifications

• Advanced degree in Computer Science, Data Science, Engineering, Humanities or related field.
• Proficiency in scripting or programming languages commonly used in data analysis (e.g., Python, R)
• Experience in Large Language Models and Natural Language Processing

Description

• Oversee the development of a portfolio of products run from the Evaluation organization including, but not limited to: instrumentation, offline evaluation, analytics and reporting.
• Develop project plans, monitor and report on progress, monitor staff workload, manage cross-functional dependencies, and track the evaluation organization to team targets. Keep teams focused on the right priorities to meet aggressive deadlines; clearly communicate project progress to leads and executive team.
• Own evaluation design, planning, and prioritization: Oversee all aspects for multiple projects including specifications, scope, requirements, timelines, and resource allocation.
• Partner with the Head of Human Evaluation to drive the development of a product vision for all measurement and evaluation data products in the Apple Media Products team while ensuring our deep commitment to customer privacy.
• Help the product team to deliver, monitor and improve features as we ship them to production: Evaluate and improve the quality of KPIs for key products by analyzing features, and potentially, how they should be instrumented for evaluation success. Empower others to understand and leverage data for decision making.
• Represent our team with other corporate functions (marketing, product security, legal, etc.)
• Ownership of Evaluation Operations, vendors, budget management, and high data quality ownership through management of a manager and team
• Direct supervision of staff, both ICs and Managers: Performance management, career development, education, training, and most importantly, continuous process improvements. Scale the team with top industry talent.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

We are looking for highly talented and motivated candidates to work on developing new functional materials. Candidate must be able to work in a fast-paced and dynamic environment with researchers across different disciplines. Candidate should have experience in sensing materials or self-healing materials.

Qualifications

PhD degree in Material Sciences, Electrical/Electronics, Applied sciences, basic sciences, technology, mechanical engineering or other relevant fields. Experience with data analytics/AI models a plus.

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

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

We regret that only shortlisted candidates will be notified,

Job Description

Are you a biomedical researcher motivated to pursue an outstanding career in cancer research with a focus on organoid research?

Cancer will affect more than 1 in 3 Singaporeans. At the Cancer Science Institute (CSI), our mission is to be at the global forefront of research to overcome this scourge. Our innovative international faculty, cutting-edge facilities, supportive working environment and competitive package together enable each of our staff to realize their maximum potential.

We now seek a Research Scientist/ Fellow to join the team of Prof. Ashok Venkitaraman. This is an exciting opportunity to work closely with a world-leading cancer researcher to undertake pioneering research on the role of genome instability in human carcinogenesis (eg., see Venkitaraman Science (2014) PMID:24675954 and Venkitaraman DNA Repair (2019) PMID:31337537). The role will provide expertise in the establishment, genetic manipulation and maintenance of human and murine organoid cultures as well as design/ perform and analyse work within the project parameters.

Duties And Responsibilities

Research:
o Develop hypotheses and conceptualise, design and execute experiments to address the hypothesis
o To establish, engineer (e.g. by CRISPR) and maintain 3D organoid cultures from a variety of tissue systems
o To carry out molecular and cell biology experiments (i.e. cloning, FACS, western blotting, RNA, sequencing, microscopy) and perform analysis and determinations
o To organise, preserve and present the results of the experiments in a logical manner
o To properly and systematically record all experiments that have been assigned and their results
o To assist in supervising, training and guiding attachment/undergraduate students where required

Qualifications

ESSENTIAL qualifications include:

1. A PhD with 1-3 years’ relevant post-doctoral experience
2. Strong track record of research achievement evidenced by high-quality publications in a relevant field
3. High-level experience in hands-on use of a wide range of relevant research methods with a focus on organoid work
4. Skills in working independently and creatively to solve experimental problems and
5. Effective communication and presentation skills, with experience in communicating scientific work including scientific papers, presentations and reports.

Preference will be given to candidates with:

1. Familiarity with the development of phenotypic assays for genetic or chemical screening, involving the use of flow cytometry, high-throughput high-content microscopy, and/or advanced fluorescence microscopy
2. Previous experience with genetically engineered murine models, or
3. Knowledge of IRB, HBRA & IACUC regulations

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

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

We regret that only shortlisted candidates will be notified.

Job Description

A Research Engineer position is open immediately in the Department of Mechanical Engineering, National University of Singapore. Successful candidate is expected to work in the field of AI for Science. Especially, the work is to develop advanced AI models for computational physics and computational materials applications. The candidate will also conduct calculations using DFT and/or AIMD for generating training dataset.

Qualifications

Candidates should have a master’s degree in physics, Materials Science, Electrical Engineering, Mechanical Engineering or a closely related field. They should also have excellent communication skills, both oral and written, and able to guide undergraduate students to conduct projects. Successful candidate is expected to perform DFT/AIMD calculations to understand the underlying physics for explainable AI model development. The candidates have higher priority if they have the background of the AI for Science.

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

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

We regret that only shortlisted candidates will be notified.

Research Fellow (Climate Models)

• Working on numerical modelling of weather and climate using high resolution climate models. – regional and urban
• Parameterization/Optimization of the climate models
• Data Assimilation
• Seasonal to Sub-Seasonal forecasting
• Working on Supercomputing platforms/Linux platforms for Numerical Weather Prediction and Climate Modelling
• Data processing and data analyses
• Data visualization
• Publishing research in peer reviewed journals
• Presentation of research in workshops/conferences

Qualifications

• A PhD in Climate/Atmospheric Sciences
• Good knowledge of tropical meteorology and atmospheric dynamics
• Experience in Numerical modelling with the WRF model
• Experience in handling supercomputing platforms
• Knowledge of Unix systems
• Expertise in programming languages such as NCL, GrADS, Python
• Expertise in shell scripting

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

• Working on numerical modelling of weather and climate using high resolution climate models.
• Parameterization/Optimization of the climate models
• Working on Supercomputing platforms/Linux platforms for Numerical Weather Prediction and Climate Modelling
• Data processing and data analyses
• Data visualization
• Publishing research in peer reviewed journals
• Presentation of research in workshops/conferences

Qualifications

• A Master's Degree in Climate/Atmospheric Sciences
• Good knowledge of tropical meteorology and atmospheric dynamics
• Experience in Numerical modelling with the WRF model
• Experience in handling supercomputing platforms
• Knowledge of Unix systems
• Expertise in programming languages such as NCL, GrADS, Python
• Expertise in shell scripting

Introduction

ETH Zurich is one of the leading universities of the world with a strong focus on science and engineering. In 2010 it established the Singapore-ETH Centre (SEC) in collaboration with the National Research Foundation (NRF) to do interdisciplinary research on pressing problems.

In collaboration with local universities in Singapore, SEC is undertaking the research programmes on "Future Resilient Systems (FRS)" and “Future Health Technologies”. The FRS and FHT address the challenges of making Singapore resilient against disruptions and the need to transform the healthcare system into one which is more digital, patient-centric and cost-efficient. Within this framework we are announcing the following job opening.

Task/Job description

We are looking for a committed team player responsible for the coordination and development of science communication activities of the FRS and FHT programmes. You will work closely with the FRS and FHT Management team, as well as with researchers from SEC, ETH Zurich, and local partner institutions in Singapore.

Your responsibilities will include the following tasks (list not exhaustive):

Developing Science Communication Strategies

· Create comprehensive communication strategies for FRS and FHT aligned with the programme’s goals and objectives.

· Define key messages and positioning to effectively convey the programme’s brand identity to interested non-experts and the general public and increase visibility in the scientific community,

Media Relations

· Build and maintain relationships with key industry journalists, influencers, and media outlets (particularly scientific media) in close collaboration with SEC Communications

· Coordinate closely with SEC Communications when media inquiries need to be handled.

Content Creation

· Generate compelling and relevant content for the FRS and FHT, including, articles, impact stories, newsletters, reports and social media.

· Closely collaborate with our researchers and support them in all aspects of content creation.

Market Research and Analysis

· Stay up to date with relevant research and industry trends, competitor activities, and market developments

· Use market research to inform communication strategies and identify opportunities. Track, analyse and report on social media performance metrics, providing insights and recommendations for improvement.

Stakeholder Engagement

· Engage with key stakeholders, including academics, customers, partners, government agencies, and industry associations

· Build and maintain positive relationships to support the programme’s objectives

Compliance and Ethics

· Ensure that all communication activities adhere to legal and ethical standards

· Work with the SEC communications team to ensure cohesive messaging across all channels and units in SEC.

Requirements

(Education or skills requirements)

· A bachelor’s degree in communications, Public Relations, Science journalism or related discipline from a recognised university.

· Possesses the interest in science communications

· At least 5 years of working experience in research communication.

· Working experience in higher education settings will be advantageous.

· Proficient in social media management tools and platforms.

· Creative thinking with high-level writing, editing and skills.

· Ability to work under pressure and manage multiple projects concurrently.

· Competent in long- and short-form content.

· Organised with attention to detail.

· Demonstrate independence and ability to work well in a team.

Information about the application process and contact for applicants

We look forward to receiving your online application including the following documents:

· a cover letter

· a CV

· electronic copies of your educational certificates and

· contact details of at least one referee

· examples of previous content generated by you

Applications via email or postal services will not be considered.

For further information about FRS and FHT, please visit our website:

https://frs.ethz.ch/

https://fht.ethz.ch

The Singapore-ETH-Centre is an equal opportunity and family-friendly employer. All candidates will be evaluated on their merits and qualifications, without regards to gender, race, age or religion.

Duration: 1.5-year contract with an option for extension. The remuneration package will be commensurate with the qualifications and experience of the successful candidate.

Work location: 1 Create Way, CREATE Tower, Singapore 138602 (NUS University Town)

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

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

We regret that only shortlisted candidates will be notified.

Job Description

We are seeking a highly motivated and talented Research Fellow to join our team in the development of rechargeable batteries using computational design. As part of this project, you will play a key role in designing composites materials using inorganic solid electrolytes with polymers using computational modelling and machine learning.

Qualifications

• Ph.D. in Materials Science, Chemistry, Physics, or a related field
• A deep understanding of solid-state physics/chemistry and general physical chemistry. Knowledge of rechargeable battery and electrochemistry is a plus. Experience in computational modelling of ceramic or polymer electrolyte is highly desired.
• Well-equipped with different tools of materials modelling. Prior experience of computational modelling of functional materials using DFT (VASP) and molecular dynamics with machine learning force fields is desired.
• Experience and skills in scientific programming (e.g. Python or C/C++) and data analysis, including experience with UNIX/Linux operating systems and command-line environments (e.g. Bash). Experience in machine learning & deep learning, database, and good understanding of high-performance computing hardware is a plus.
• A track record of publishing papers in decent scientific journals and excellent writing & presentation skills.
• Able to collaborate with experimentalist and work with other team members.

SIFBI seeks to appoint a Principal Investigator in area of food oral processing. Special interests will be on the food oral manipulation, food oral rheology, oral tribology, oral physiology, bolus formation and swallowing, food-saliva interactions, and other emerging topics in relation to eating and sensory perception. The appointed Principal Investigator is expected to lead a research team to conducted experiment-based original research in food oral processing.

Jobs Responsibilities:

• To lead a research team to conducted experiment-based research in areas of food oral processing.
• To lead new initiatives in research project proposals
• To write up high impact research publications
• To establish strong international links with academic partners
• To actively engage with industry for knowledge transfer and research collaborations
• To mentor and provide support to junior researchers
• To participate team/laboratory management

Job Requirements:

• PhD in food science or other relevant disciplines
• More than 10 years' experience of postdoctoral and independent research
• Strong lab-based research background in food sensory, food physics, food texture, food flavour.
• An excellent track record of research publications
• Excellent communication skills (e.g. writing and speaking)

The candidate should demonstrate his/her research achievements with an excellent track record of research publications, cases of successful funding, industrial collaborations, and social/economic impacts.

(Informal enquiries can be made by contacting Prof. Jianshe Chen via email [email protected].)

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

SIFBI seeks to appoint a Principal Investigator in area of food oral processing. Special interests will be on the food oral manipulation, food oral rheology, oral tribology, oral physiology, bolus formation and swallowing, food-saliva interactions, and other emerging topics in relation to eating and sensory perception. The appointed Principal Investigator is expected to lead a research team to conducted experiment-based original research in food oral processing.

Jobs Responsibilities:

• To lead a research team to conducted experiment-based research in areas of food oral processing.
• To lead new initiatives in research project proposals
• To write up high impact research publications
• To establish strong international links with academic partners
• To actively engage with industry for knowledge transfer and research collaborations
• To mentor and provide support to junior researchers
• To participate team/laboratory management

Job Requirements:

• PhD in food science or other relevant disciplines
• More than 10 years' experience of postdoctoral and independent research
• Strong lab-based research background in food sensory, food physics, food texture, food flavour.
• An excellent track record of research publications
• Excellent communication skills (e.g. writing and speaking)

The candidate should demonstrate his/her research achievements with an excellent track record of research publications, cases of successful funding, industrial collaborations, and social/economic impacts.

(Informal enquiries can be made by contacting Prof. Jianshe Chen via email [email protected].)

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

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The Department of Statistics and Data Science is seeking a dynamic and versatile Research Assistant who can act as Data Operations Specialist, AI Innovator, and Cloud Architect to play a pivotal role in the Department's digital transformation in education, research infrastructure and administration.

In addition to architecting and managing cloud resources, the selected candidate will be responsible for creating synthetic and sourcing for real-world data, repository management, optimising departmental procedures, and developing complex Large Language Models (LLMs) to enhance data access, summarisation, and search capabilities. This multifaceted role offers a unique opportunity to drive innovation and efficiency across our initiatives in education, research and administration.

Qualifications

• A bachelor’s degree in computer science, mathematics, statistics, or a related field.
• Proficiency in SQL and Python.
• Knowledge of Big Data frameworks.
• Strong analytical skills and hands-on experience with BI tools, including data visualization platforms like Tableau or PowerBI.
• Experience with cloud technologies such as AWS, Azure, or Google Cloud.
• Exceptional communication and teamwork skills for effective collaboration with cross-functional teams and stakeholders.
• Robust analytical and problem-solving abilities to tackle complex architectural challenges.
• Basic project management skills to manage timelines, budgets, and resources efficiently.
• A passion for Machine Learning, especially in the context of Large Language Models like ChatGPT.
• Possession of relevant cloud certifications and experience with DevOps/MLOps practices would be considered an advantage.

The NUS High School of Mathematics and Science is a specialized school offering a seamless 6-year programme to students between the ages of 12+ and 18 years and who have an aptitude for Mathematics and Science. We invite suitable applicants for the below position.

Assistant Executive, Outreach (Temporary)

This position will be suitable for those who are interested in exploring the education sector. You will assist the Outreach Department to facilitate and develop plans for active outreach to the math and science talent in primary schools.

Key Responsibilities:

Science Outreach

· Work with our Outreach Educators to design programmes consisting of workshops, online modules and other activities particularly in the area of Physics and Engineering and other sciencesthat will engage Primary 5 and 6 math and science talent from our primary school partners.

· Initiate and mentor simple and short research projects with primary school students.

· Carry out the programmes planned together with NUS High student helpers, and be able to adapt activities to students with a wide range of abilities.

· Mentor the primary school students in our outreach programmes so as to nurture their passion in math and science.

Collaboration with Student Interest Groups (SIG)

· Provide guidance for student helpers from our SIGs to support the outreach activities as facilitators and student mentors.

· Provide support to SIG Teachers for their activities.

Miscellaneous Teaching and Learning Activities

· Provide support to academic departments for simple relief tasks.

Requirements:

· Possess GCE “A” level (Science Stream) or Diploma in Science/Engineering

• Excellent interpersonal and communication skills (including written)
• Has a heart for inspiring young students with a passion in science.
• Dynamic and motivated with good organizing abilities.
• A team player who is also able to work independently to meet tight timelines and achieve goals.
• Experience working with students would be an advantage

Employment Terms:

August – December2024 (with option to extend)

Remuneration:

S$2,000 - $$2,300 per month

Working Hours:

Mon – Thur: 8:30am – 6:00pm

Fri: 8:30am – 5:30pm

Interested applicants, please email your detailed resume to [email protected] by 26 July 2024.

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 selected candidates will be assigned to teach tutorials for specific modules for undergraduates. They will be guided by the module coordinators or instructors.

Responsibilities:

• Participate in regular meetings with the module coordinators and other TAs
• Support class management and administration
• Conduct tutorials or lab sessions
• Assist in setting up tutorial and assessment questions
• Marking of course assignments

Requirements:

• A good honours degree or Master’s degree in a relevant discipline from a reputable university (e.g., Computing/Engineering)
• Possesses excellent verbal and written communication skills and be able to effectively facilitate learning for undergraduate students
• Strong interest in teaching and preferably with proven teaching experience (especially at the tertiary level)

The Institute of High Performance Computing (IHPC) was established in April 1998 to provide leadership in high performance computing as a strategic resource for scientific inquiry and industry development. Our mission is to advance science and technology, and develop leading-edge applications through high performance computing and computational science. We have long-term ties with industry partners, including multinational companies and local SMEs, which ensures that our R&D activities stay focused and relevant to real-world needs. We also have active cooperation with the world’s top academics and academic institutions.

Simulation Scientist:

We are looking for a simulation expert who will be part of the team developing a next-generation mobility simulation platform using an agent-based modelling approach. The platform is envisioned to be integrated with other modelling & simulation systems under a digital twin strategy. The responsibilities may include any of the following:

• Develop simulation modules for the agent-based simulator.
• Design and implement simulation scenarios.
• Develop behavioural rules for the simulation agents.
• Implement real-world dynamics including physical motion laws, power-flow, scheduling, and operational constraints as needed.
• Design, calibrate and validate simulation models.
• Optimise the performance of the simulation.
• Write research papers and present at conferences and communicate to project collaborators

Education and experience requirements:

• Ph.D. degree in a related discipline (transportation engineering, operations research, computer engineering/science, or related disciplines)
• At least 2 years of experience
• Strong interests and expertise in traffic simulation, statistical modeling, mathematical programming, reinforcement learning, and optimization
• Minimum of two years of experience in simulation development.

Technical skills:

• Strong proficiency in Java and Python programming languages.
• Familiarity with electrified mobility technologies, electric vehicles, and charging infrastructure.
• Experience with version control systems (e.g., Git).

Experience/familiarity with any of the following is a plus:

• Familiarity with simulation software and tools (e.g., SimPy, MASON, Repast, Simulink, AnyLogic, SUMO).
• Simulation integration standards and frameworks (e.g., HELICS, HLA, DIS).
• High-performance communication technology (e.g., gRPC, MPI, ZeroMQ).

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

The Institute of High Performance Computing (IHPC) was established in April 1998 to provide leadership in high performance computing as a strategic resource for scientific inquiry and industry development. Our mission is to advance science and technology, and develop leading-edge applications through high performance computing and computational science. We have long-term ties with industry partners, including multinational companies and local SMEs, which ensures that our R&D activities stay focused and relevant to real-world needs. We also have active cooperation with the world’s top academics and academic institutions.

Simulation Engineer

The candidate will be part of the team developing a next-generation electrified mobility simulation platform using an agent-based modelling approach. The platform is envisioned to be integrated with other modelling & simulation systems under a digital twin strategy. The responsibilities may include any of the following:

• Develop simulation modules for the agent-based simulator.
• Design and implement simulation scenarios for electrification.
• Optimise the performance of the simulation.
• Calibrate and validate the simulation model based on real-world transportation dynamics.
• Develop connectors, interfaces, and adapters to facilitate model communication and data interchange.

Education and experience requirements:

• Bachelor’s or Master’s degree in computer science, software engineering, transportation, or related fields.
• Minimum of 5 years of experience in simulation development.
• Experience with system integration or executing phased deployment plans is a plus.

Technical skills:

• Strong proficiency in a wide range of programming languages,including Python, Java, JavaScript, and C++.
• Familiarity with simulation software and tools (e.g., SimPy, MASON, Repast, Simulink, AnyLogic, SUMO).

Experience/familiarity with any of the following is a plus:

• Containerization and orchestration technologies, such as Docker and Kubernetes.
• Digital twins.
• Simulation integration standards and frameworks (e.g., HELICS, HLA, DIS).
• High-performance communication technology (e.g., gRPC, MPI, ZeroMQ).
• Model pipelining tools (e.g., Airflow, MLflow, Argo).

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

The Institute of High Performance Computing (IHPC) was established in April 1998 to provide leadership in high performance computing as a strategic resource for scientific inquiry and industry development. Our mission is to advance science and technology, and develop leading edge applications through high performance computing and computational science.

We are looking for highly motivated individuals who are able to work independently and yet are good team players, possess excellent analytical, technical and problem-solving skills, good technical writing and presentation skills. If you share our interests in solving challenging scientific problems using computational science, mathematical methods and/or engineering techniques, we welcome you to apply for the following position.

SYSTEMS SCIENCE DEPARTMENT

Research Scientist (Urban Systems & Transportation modelling)

We are looking for researchers who are highly motivated with a passion for developing solutions relating to modelling and simulation of transportation and complex urban systems. The candidate will join a multidisciplinary team of scientists and engineers to develop next generation transport and urban R&D solutions, leveraging on advanced AI and digital twin technologies. The role is expected to work both internally and externally with collaborators/stakeholders from industry and government agencies.

Requirements

· PhD in Computer Science/Engineering/Computing/Information Systems/Civil Engineering or equivalent

· At least 5 years of experience

· Relevant experience/expertise in at least one of the following areas: Transport system modelling, Agent-based simulation, Geo-spatial analysis, Digital twin

· Strong interests in statistical modelling, optimization, AI

· Proficient in programming languages like Java, Python or C++

· Self-driven and motivated team player

· Curiosity and passion to learn new things

· Good written and verbal communication 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.

The Institute of High Performance Computing (IHPC) was established in April 1998 to provide leadership in high performance computing as a strategic resource for scientific inquiry and industry development. Our mission is to advance science and technology, and develop leading-edge applications through high performance computing and computational science. We have long-term ties with industry partners, including multinational companies and local SMEs, which ensures that our R&D activities stay focused and relevant to real-world needs. We also have active cooperation with the world’s top academics and academic institutions.

Simulation Scientist:

We are looking for a simulation expert who will be part of the team developing a next-generation mobility simulation platform using an agent-based modelling approach. The platform is envisioned to be integrated with other modelling & simulation systems under a digital twin strategy. The responsibilities may include any of the following:

• Develop simulation modules for the agent-based simulator.
• Design and implement simulation scenarios.
• Develop behavioural rules for the simulation agents.
• Implement real-world dynamics including physical motion laws, power-flow, scheduling, and operational constraints as needed.
• Design, calibrate and validate simulation models.
• Optimise the performance of the simulation.
• Write research papers and present at conferences and communicate to project collaborators

Education and experience requirements:

• Ph.D. degree in a related discipline (transportation engineering, operations research, computer engineering/science, or related disciplines)
• At least 5 years of experience
• Strong interests and expertise in traffic simulation, statistical modeling, mathematical programming, reinforcement learning, and optimization
• Minimum of two years of experience in simulation development.

Technical skills:

• Strong proficiency in Java and Python programming languages.
• Familiarity with electrified mobility technologies, electric vehicles, and charging infrastructure.
• Experience with version control systems (e.g., Git).

Experience/familiarity with any of the following is a plus:

• Familiarity with simulation software and tools (e.g., SimPy, MASON, Repast, Simulink, AnyLogic, SUMO).
• Simulation integration standards and frameworks (e.g., HELICS, HLA, DIS).
• High-performance communication technology (e.g., gRPC, MPI, ZeroMQ).

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

The Institute of High Performance Computing (IHPC) was established in April 1998 to provide leadership in high performance computing as a strategic resource for scientific inquiry and industry development. Our mission is to advance science and technology, and develop leading-edge applications through high performance computing and computational science. We have long-term ties with industry partners, including multinational companies and local SMEs, which ensures that our R&D activities stay focused and relevant to real-world needs. We also have active cooperation with the world’s top academics and academic institutions.

Simulation Engineer

The candidate will be part of the team developing a next-generation electrified mobility simulation platform using an agent-based modelling approach. The platform is envisioned to be integrated with other modelling & simulation systems under a digital twin strategy. The responsibilities may include any of the following:

• Develop simulation modules for the agent-based simulator.
• Design and implement simulation scenarios for electrification.
• Optimise the performance of the simulation.
• Calibrate and validate the simulation model based on real-world transportation dynamics.
• Develop connectors, interfaces, and adapters to facilitate model communication and data interchange.

Education and experience requirements:

• Bachelor’s or Master’s degree in computer science, software engineering, transportation, or related fields.
• Minimum of two years of experience in simulation development.
• Experience with system integration or executing phased deployment plans is a plus.

Technical skills:

• Strong proficiency in a wide range of programming languages,including Python, Java, JavaScript, and C++.
• Familiarity with simulation software and tools (e.g., SimPy, MASON, Repast, Simulink, AnyLogic, SUMO).

Experience/familiarity with any of the following is a plus:

• Containerization and orchestration technologies, such as Docker and Kubernetes.
• Digital twins.
• Simulation integration standards and frameworks (e.g., HELICS, HLA, DIS).
• High-performance communication technology (e.g., gRPC, MPI, ZeroMQ).
• Model pipelining tools (e.g., Airflow, MLflow, Argo).

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

The Institute of High Performance Computing (IHPC) was established in April 1998 to provide leadership in high performance computing as a strategic resource for scientific inquiry and industry development. Our mission is to advance science and technology, and develop leading edge applications through high performance computing and computational science.

We are looking for highly motivated individuals who are able to work independently and yet are good team players, possess excellent analytical, technical and problem-solving skills, good technical writing and presentation skills. If you share our interests in solving challenging scientific problems using computational science, mathematical methods and/or engineering techniques, we welcome you to apply for the following position.

SYSTEMS SCIENCE DEPARTMENT

Research Scientist (Urban Systems & Transportation modelling)

We are looking for researchers who are highly motivated with a passion for developing solutions relating to modelling and simulation of transportation and complex urban systems. The candidate will join a multidisciplinary team of scientists and engineers to develop next generation transport and urban R&D solutions, leveraging on advanced AI and digital twin technologies. The role is expected to work both internally and externally with collaborators/stakeholders from industry and government agencies.

Requirements

· PhD in Computer Science/Engineering/Computing/Information Systems/Civil Engineering or equivalent

· At least 2 years of experience

· Relevant experience/expertise in at least one of the following areas: Transport system modelling, Agent-based simulation, Geo-spatial analysis, Digital twin

· Strong interests in statistical modelling, optimization, AI

· Proficient in programming languages like Java, Python or C++

· Self-driven and motivated team player

· Curiosity and passion to learn new things

· Good written and verbal communication 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.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

We are looking for a motivated and hands-on individual who will assist with field surveys and mariculture research based at the St John’s Island National Marine Laboratory.

Job Scope includes:

• Conduct regular biodiversity field surveys (intertidal).
• Specimen processing including Imaging
• Conduct daily animal husbandry
• General maintenance and housekeeping of field equipment and aquarium
• Procurement for project needs
• Assist in data analysis and report writing/scientific paper writing
• General administrative duties
• Other duties as and when assigned

Qualifications

• Bachelor’s degree in Science from a recognised University, majoring in Biology, Zoology, or equivalent
• Proficiency in oral and written English
• Able to work in a team and independently
• Experience with animal husbandry and fieldwork will be an advantage
• Strong interest in marine science
• Job position is based at the St John’s Island National Marine Laboratory, St John’s Island.

Ferry transport to work will be provided.