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.

HYCOMBS Project is seeking a highly motivated and talented Research Fellow to join the project, a research initiative focused on advancing combustion science and technology for gas turbines and internal combustion engines in Singapore.

The successful candidate will be based in Singapore and contribute to Work Package 2.1, “Laminar H2/NH3 flames”, led by Dr. Ducruix and Dr. Minesi.

HYCOMBS PROJECT

HYCOMBS: Hydrogen and Ammonia Combustion in Singapore

In the future, Singapore may be importing renewable energy in the form of hydrogen (H2) or ammonia (NH3). These zero-carbon fuels will require the development of new gas turbines (GTs) and internal combustion engines (ICE) used in power generation, aviation, and maritime propulsion.

This project focuses on the combustion fundamentals of hydrogen, ammonia, their blends, and their blends with hydrocarbon fuels. The knowledge acquired in HYCOMBS will enable the penetration of zero-carbon fuels in the Singapore energy system and this will benefit Singaporean industries and residents.

Read more about the HYCOMBS project here.

DESCRIPTION

The HYCOMB project aims to develop a deeper understanding of hydrogen/ammonia combustion phenomena and improve the efficiency, stability, and environmental sustainability of gas turbines and internal combustion engines. As a Postdoctoral Researcher in WP2.1, you will play a key role in deploying advanced diagnostics to study laminar H2/NH3 flames, a crucial step towards understanding combustion instability and pollutant formation.

Responsibilities

• Design, develop, and operate a burner for laminar flame experiments, compatible with high-frequency diagnostics
• Conduct experiments on steady and pulsated laminar H2/NH3 flames using spontaneous emission of radicals (OH*, NH*) and laser absorption spectroscopy of stable species (NH3, H2O, N2O)
• Modulate injection conditions to induce controlled fluctuations of velocity, which will drive the oscillation of heat release, pollutant formation, and other quantities of interest
• Measure local flow conditions using Particle Image Velocimetry (PIV) to correlate flame behavior with flow strain
• Collaborate with other partners to implement laser absorption spectroscopy in other rigs and validate kinetic schemes and simulations (WP1)
• Contribute to the development of laser absorption spectroscopy diagnostics for online detection of combustion efficiency, ammonia slip, and N2O pollutant emissions

EXPERIENCE & QUALIFICATIONS

Requirements

• Ph.D. in Combustion Science, Physics, Chemistry, or a related field
• Strong background in experimental combustion, flame diagnostics, and data analysis
• Experience with optical diagnostics (ideally laser-induced fluorescence and absorption spectroscopy, but not required)
• Excellent communication and teamwork skills, with the ability to collaborate with international partners
• Fluency in English (written and spoken)

Desirable Qualifications

• Knowledge of combustion kinetics and modeling
• Experience with particle image velocimetry (PIV) or other flow measurement techniques

FURTHER INFORMATION & CONTACT

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

• A 3-year postdoctoral research position
• Visit in laboratoire EM2C (France) for a training on optical diagnostics
• The opportunity to work on a cutting-edge, interdisciplinary project with international partners
• Access to state-of-the-art experimental facilities and diagnostics in Singapore
• Collaboration with leading researchers in the field of combustion science
• Opportunities for professional growth, networking, and publication in top-tier journals

Workplace address: The applicant will be a CNRS@CREATE appointee (CREATE Campus, CREATE Tower, 1 Create Way #08-01 Singapore 138602), and work on CREATE Campus.

To apply, please submit your CV, a cover letter outlining your research experience, and contact information for two academic references. Applications will be reviewed until the position is filled: [email protected] and [email protected]

*SAP will be prioritizing candidates with full working rights in Singapore.*

About SAP

A market leader in end-to-end business application software, SAP helps more than 425,000 customers worldwide work together more efficiently. We know that a diverse and inclusive workforce keeps us competitive and provides opportunities for all. We believe that together we can transform industries, grow economics, lift societies, and sustain our environment. Because it’s the best-run businesses that make the world run better and improve people’s lives. At SAP, we build breakthroughs, together.

About SAP Labs Singapore

SAP Labs Singapore is the 20th engineering hub in the SAP Labs Network and is the newest innovation hub at SAP that drives product leadership, fosters the best talent, and aims to boost ecosystem and community engagement with a variety of initiatives.

SAP Labs Singapore has the ambition to expand significantly and become the Embedded Artificial Intelligence Hub for SAP, leveraging on core competencies in the current teams.

Your future team

Artificial Intelligence team as part of SAP Labs Singapore has experienced professionals taking on challenges posed by the SAP customers. Based in Singapore, you will have the opportunity to work on breakthrough projects addressing real-world problems, challenging norms with some of the SAP’s key customers. As part of the global product engineering team, you will participate in rich and engaging conversations with experts around the globe.

SAP Labs Singapore provides an open, modern working environment and the opportunity to become part of the global SAP engineering community.

Purpose and objectives

As an Associate AI Scientist / AI Scientist, you will work together with a team of dedicated experts including AI developers, data engineers, dev-ops engineers, and architects with a single goal of building the best-in-class AI products. You will work against fixed timelines and your success will be measured by the ability to deliver solutions matching the performance of top-notch artificial intelligence systems.

Applicants with relevant experience may be considered for AI Scientist role.

Expectations and tasks

Your tasks include:

• Push the frontiers of what is possible in the area of artificial intelligence and machine learning so as to create new solutions
• Explore, understand, and implement most recent technologies and approaches for data science problems
• Comfortably handle multi-terabyte data sets in scale-up and scale-out environments
• Strive for state-of-the art, highly accurate and scalable data science models
• Understand business processes which create and consume data to be able to select best approaches, evaluate their performance and assess business relevance
• Create excellence both in terms of results quality and system scalability through continuous evaluation, analysis, and refinement of the system implementation
• Communicate the relevance of implemented systems and achieved results in a visual and consistent way
• Work closely with the team, customers, and partners to holistically understand business and user requirements and derive adequate application development concepts
• Performing quality assurance tasks
• Solve complex regression issues
• Ability to work in global teams with different time zones
• Immerse yourself quickly into new topics, terminology, and development tasks

Educational and experience requirements

Required

• Undergraduate or Post-Graduate specialization in Artificial Intelligence or Ph.D. degree in Computer Science, Mathematics, Statistics, or equivalent fields
• 0 to 3 years of working experience as data scientist, preferrable with an enterprise software or cloud application companies
• Publication track record on deep learning, machine learning, large language, and foundational models
• Proficient knowledge and track record of applying modern deep learning concepts
• Track record of developing novel learning algorithms or systems
• Experience with machine and deep learning software packages & libraries such as Caffe, Torch, Theano, TensorFlow, Keras, Scikit-learn, DeepLearning4j, GPT;
• Hands-on with programming languages such as Python, C++, Java, Scala
• Familiar with Agile/Scrum methodologies
• Strong desire to overcome obstacles and make your work benefit SAP's customers
• Excellent written and communication skills in English language

Optional

• Operational knowledge of Linux distributions such as Redhat, Ubuntu, SUSE
• Data Science experience in Large Language Models, Generative Pre-trained Transformer models, foundational models etc.

Job Segment: Data Science, AI Developer, Machine Learning, Artificial Intelligence

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

We are seeking for suitable Research Fellow who is interested to work with Dr Prateek Bansal's research group at the National University of Singapore (NUS). The project involves understanding preferences for Mobility-as-a-Service (MaaS), estimating its effect on public transport, and quantifying system-level emission impact of MaaS.

The candidate will be responsible for:

• In-depth review of the literature.
• Designing and conducting stated preference experiments
• Developing and estimating discrete choice models
• Devising optimization-based approaches for system-level MaaS design by integrating results from discrete choice models.
• Creating an agent-based model to simulate the emission impact of MaaS

The successful applicant is expected to pursue independent as well as collaborative research and must be willing to participate in writing grant proposals and supervising doctoral/postgraduate research students.

Job Requirements

• Possess a PhD degree in Travel behaviour, Management, Economics, Statistics, Psychology or related disciplines.
• Has good understanding of discrete choice experiments and model estimation,
• Has strong background in optimization methods.
• Is proficient in programming econometric models in R, Python, or MATLAB.
• Strong written and spoken communications.
• Open to fixed-term contract.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

• The appointee is expected to work in Professor LAIN JONG Li’s research group and participate in a large-scale collaborative research with other groups in the University.
• The main research focus is to develop advanced electronics devices based on 2D semiconducting and insulating materials. The capability to initiate collaborative projects with researchers all over the world will be an advantage.
• The appointee may need to contribute to the teaching of courses in Materials Science and Engineering.
• The candidate is also expected to apply for research funding and supervise research postgraduate students.

Qualifications

• Applicants should possess a relevant PhD degree in Electronics Engineering or a related field with 3 or more years’ postdoctoral research experience
• Prior publication track records in electronic devices and low-dimensional materials will be a must.

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.

About SAP

A market leader in end-to-end business application software, SAP helps more than 425,000 customers worldwide work together more efficiently. We know that a diverse and inclusive workforce keeps us competitive and provides opportunities for all. We believe that together we can transform industries, grow economics, lift societies, and sustain our environment. Because it’s the best-run businesses that make the world run better and improve people’s lives. At SAP, we build breakthroughs, together.

Your future team

Artificial Intelligence team has experienced professionals taking on challenges posed by the SAP customers. Based in Singapore, you will have the opportunity to work on breakthrough projects addressing real-world problems, challenging norms with some of the SAP’s key customers. As part of the global product engineering team, you will participate in rich and engaging conversations with experts around the globe.

Purpose and objectives

As an Administration Associate/ Associate Developer Support Specialist, you’ll collaborate with a diverse team of AI developers, scientists, data engineers, DevOps engineers, and architects to build best-in-class AI products. You will serve as a key operational pillar, supporting local leadership to meet fixed timelines. Success in this role will be measured by your ability to deliver initiatives with top-notch quality, such as enhancing operational efficiency and team productivity.

Expectations and Tasks

Operations Support Responsibilities

• Collect and maintain department Internal Orders and Transfer Project details
• Coordinate Legal documents, NDA's, third party contracts with the regional and SAP AG Legal departments
• Support budget planning, tracking, and processing of expense reports, internal cross charge and vendor payments.
• Coordinate and assist team with IP and Patent matters
• Assist in organizing training sessions, managing registrations, and maintaining learning and development records.
• Coordinate team events, liaising with vendors for catering and logistics.
• Maintenance / update of team shared folders, workzone page, distribution lists, and internal communication channels e.g. Slack, MS Teams Channels, etc.
• Organize team meetings, all employee meetings, and other types of events.
• Maintenance of team assets, documents, lockers.
• Act as a central contact person for all employees in the department and provide ad-hoc support if needed.
• HR & Recruiting Operations Responsibilities
• Understand HR & Recruiting principles and act accordingly
• Responsible for necessary administrative tasks associated with this role in collaboration with other HR teams as necessary
• Dealing with enquires (phone, email) related to HR & Recruiting process in an efficient and professional manner
• Facilitate the onboarding process for new hires, including laptop procurement, lockers assignment, and distribution list management, training arrangement, etc.
• Manage the offboarding process, including locker assignment removals and checklist processing, etc.
• Coordinate and support Center’s Internship, PhD scholar and other research and academic programs
• Track project milestones, including following up with researchers and research partners including Universities

Executive Assistant Support Responsibilities

• Coordinate and interact with executive assistants inside and outside SAP as a regular part of the job.
• Support managers with administrative assistance (e.g. scheduling of meetings, meeting infrastructure like conference room booking, facilities booking, travel management etc.)
• Prepare meeting agendas, create and distribute meeting materials, taking meeting minutes, send follow-up communications and tracking action items.
• Assist oversea executives visit in Singapore (plan meeting agenda, booking of meeting rooms, events arrangement, etc.)
• Collaborate with other departments to plan and execute local or regional activities.

EDUCATION AND QUALIFICATIONS / SKILLS AND COMPETENCIES

• Degree in Information Systems, Finance, HR, or Business Administration (or equivalent).
• Strong in organization, planning, collaboration, and execution
• Excellent communication skills: oral, written, and in presentations.
• Proactive and Self-motivated with ability to work independently within a complex and high-pressure environment
• Excellent social and emotional intelligence quotient
• Strong knowledge of all aspects of MS Office, especially Outlook, PowerPoint, and Excel
• Strong ability to prioritize and deliver quickly with high sense of responsibility
• Self-learner with out-of-the-box ideas and proposals
• Ability to multi-task and deliver highest quality work under time constraints in global environment
• Flexible and capable of multi-tasking/managing a broad variety of tasks and topics
• High level of integrity and confidentiality

WORK EXPERIENCE

• 1 - 3 years of operations and administration experience
• Knowledge of internal systems at SAP (such as ISP, CSS, SAP Corporate Portal etc.) would be advantageous
• Work experience at an executive assistant (EA) level position in technology or consultancy industry is preferred

Description:

Simple Food Solutions Pte Ltd is a dynamic OEM food manufacturing company dedicated to providing innovative and high-quality food products. We are looking for a creative and experienced Research and Development Specialist to lead our R&D efforts, drive new product development, and optimize kitchen operations.

Key Responsibilities:

1. Recipe Development and Product Innovation

• Create and test innovative recipes tailored to market trends and customer demands.

• Ensure recipes are scalable for production efficiency while maintaining exceptional quality.

2. Quality Assurance and Control (QA/QC)

• Establish and implement robust QA/QC protocols.

• Conduct product trials to ensure consistency, compliance, and safety standards.

• Resolve quality issues during development and production.

3. Product Approval and Accountability

• Oversee product approval, ensuring all items meet company standards for taste, presentation, and compliance.

• Sign off on finalized recipes and processes, assuming full accountability for product quality.

4. Collaboration with the Sales Team

• Partner with the sales team to understand customer feedback and market needs.

• Assist in presenting products to clients, including demonstrations and tastings.

• Support customization for specific customer requests.

5. Production Alignment and Management

• Collaborate with the Production Manager to align recipes with operational capabilities.

• Train production staff on new recipes and processes.

6. Market and Trend Analysis

• Research food trends, customer preferences, and competitor products to inform recipe development.

• Innovate and propose new product concepts for market differentiation.

7. Documentation and Reporting

• Maintain thorough records of recipes, ingredient specifications, and QA/QC protocols.

• Provide updates to the Production Manager and sales team on project progress and approvals.

Qualifications:

• Minimum of 5 years of culinary experience, focusing on R&D, QA/QC, or product development.

• Expertise in scaling recipes for production.

• Knowledge of food safety regulations and quality standards.

• Strong collaboration skills with production and sales teams.

• Excellent problem-solving and organizational skills.

Education:

• Degree/Diploma in Culinary Arts, Food Science, or a related field.

• Certifications in quality management or culinary innovation are a plus.

Key Competencies:

• Accountability in managing product quality, approvals, and customer satisfaction.

• Creative and innovative thinking with a strong focus on operational alignment.

• Ability to manage multiple projects within tight deadlines.

Benefits:

• Competitive salary and performance incentives.

• Opportunities for career growth and skill development.

• Collaborative and innovative work environment.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The Division of Family Medicine (DFM) at NUS research themes include chronic diseases, health longevity, cancer care, mental health, multimorbidity, family orientation and care coordination within the primary care setting.

We are looking to appoint a Research Fellow to support the primary care research programmes involving biostatistics. The Fellow will bring a combination of technical expertise in data science and applied statistical methods in primary care research.

The responsibilities include:

• Lead research projects that fall in DFM’s areas of interest and set up relevant research collaborations within and outside of the Division
• Provide support to other academic staff in the preparation of new grant proposals, ethics applications, manuscripts, and oral presentations
• Assist in the management of research activities including team coordination, mentoring of junior researchers, conducting research workshops and seminars
• Interact with interdisciplinary teams to build research capacity amongst our primary care partners
• Be a lead member of the research committee within DFM

Please note that this job description is not intended to be exhaustive. Duties and responsibilities outlined may be amended during appointment, in light of changing circumstances.

Qualifications

NUS offers highly competitive remuneration packages. The successful applicant will be offered an annual salary plus benefits commensurate with his or her qualifications, experience and expertise and will have access to travel support to disseminate research outcomes at international academic conferences.

The position is a 1-year full-time appointment at the academic rank of Research Fellow. An option to renew the appointment for subsequent years will depend on performance and continued funding for the project. Start date is flexible, with the position expected to commence in the first half of 2025.

Job Requirements:

• A recognized Doctoral degree in Data Science, Statistics or a closely related field with a strong post-doctoral research record
• Proven track record in handling and analyzing large healthcare dataset
• Track record of publishing in international peer-reviewed journals
• Strong communication skills in English, both written and spoken
• Strong leadership skills with the ability to work independently and as part of a multidisciplinary team
• Highly developed problem-solving skills and adept at managing complex research data
• Evidence of potential to generate and maintain an independent stream of funding
• Outcome-orientation with excellent organizational and project management skills, and attention to detail

The application should include a CV and a cover letter that describes the applicant’s specific interest in joining DFM. Only shortlisted candidates will be contacted.

Job Description:

We are seeking a highly skilled and motivated Research Officer specializing in AI and spatial multi-omics to join our cutting-edge research team. This role focuses on advancing cancer immunotherapy (IO) for Asian-prevalent tumors through the integration of Generative AI techniques and spatial multi-omics data analysis. This position offers a unique opportunity to address critical challenges in immunotherapy, such as the identification of effective biomarkers and an in-depth understanding of the tumor microenvironment.

Key Responsibilities:

1. Multi-Omics-IO Classifier Development: Develop and validate a classifier to integrate IO biomarkers identified from the multi-omics analyses, benchmarked against conventional markers (e.g., PD-1/PD-L1).

2. AI Model Development: Create AI models for virtual staining to visualize gene expression and multi-omics biomarkers.

3. Collaboration & Reporting: Collaborate with pathologists, immunologists, and AI researchers to ensure robust, clinically relevant model development. Prepare reports, presentations, and manuscripts for publication.

Requirements:

• Bachelor degree in AI/ML, or a related field with a strong focus on imaging and deep learning.
• Technical Skills: Expertise in AI techniques and experience in omics data analysis.
• Strong programming skills in Python or R, with experience in deep learning frameworks (e.g., PyTorch, TensorFlow).
• Domain Knowledge: Familiarity with cancer immunotherapy and biomarker development.
• Analytical Skills: Proven experience in developing and evaluating complex machine learning models, especially for biomarker discovery and clinical applications.
• Collaboration & Communication: Excellent interpersonal and communication skills to work effectively within a multidisciplinary team of scientists, clinicians, and technical staff.
• Preferably with experience with virtual staining, explainable AI, and histopathological analysis. A track record of publications in high-impact journals and presentations at scientific conferences. Prior experience in developing and applying AI models in healthcare or clinical settings is a plus.

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 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.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for a Research Assistant in the Department of Medicine, Yong Loo Lin School of Medicine. The Dept of Medicine at NUS is a very large research-intensive department and is dedicated to the advancement of human healthcare in Singapore first, but also beyond. More information on the department is available at https://medicine.nus.edu.sg/medi/. This Appointment will be made on a 1 year rolling contract basis in the first instance, with the possibility of extension.

Purpose of the post

The Research Assistant (RA) will be responsible to, and work closely with, the Principal Investigator (Assoc. Professor Peter Goon) and other study team members to ensure the successful completion of their research studies (Virus-associated cancers with emphases on pre-cancer detection, host immunology, virology, and potential treatments, Skin cancers and drug reactions) on time. The RA’s principal role will be to work in general practices such as recruitment, data collection, laboratory experiments, data entry and analysis.

Duties and Responsibilities

The Research Assistant will liaise with the relevant personnel in hospital to smooth the process of recruitment and data collection and will be accountable to the Principle Investigator (PI). The RA will be able to:

1. Oversee the general management of the project;
2. Provide administrative and secretarial support to the project, such as organizing regular meetings to maintain regular communication with other members of the research team and collaborate with the study sites;
3. Undertake the day to day running of the project at the study site, e.g. Collaborate with team members at the study sites, laboratory experiments, recruitment, data collection at hospitals/participants’ homes;
4. Conduct literature searches, using SPSS to enter data, and analyse data and maintain trial database, as well as assist in preparing both progress and final reports of the project;
5. Maintain the highest standard of professional conduct and record keeping in accordance with policies and procedures;
6. Assist with any other duties of a similar nature that are delegated by the PI.

Qualifications

The applicant should:

1. Have a first degree with good results or holds a Bachelor degree in medicine or science-related disciplines;
2. be able to work independently and in a team, have an investigative nature, attention to detail;
3. have knowledge of computer applications, e.g. SPSS, MS office, PowerPoint;
4. have experiences in the medicine areas of research (if confidential, the nature of the research in general)

More Information

Remuneration will be commensurate with the candidate’s qualifications and experience. Informal enquiries are welcome and should be made to Ms Farah bte Ahmad Rosman @ [email protected]

Formal application: Please submit your application, indicating current/expected salary, supported by a detailed CV (including personal particulars, academic and employment history, complete list of publications/oral presentations and full contacts of three (3) referees to this job portal.

We regret that only shortlisted candidates will be notified.

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

*SAP will be prioritizing candidates with full working rights in Singapore*

About SAP

A market leader in end-to-end business application software, SAP helps more than 425,000 customers worldwide work together more efficiently. We know that a diverse and inclusive workforce keeps us competitive and provides opportunities for all. We believe that together we can transform industries, grow economics, lift societies, and sustain our environment. Because it’s the best-run businesses that make the world run better and improve people’s lives. At SAP, we build breakthroughs, together.

About SAP Labs Singapore

SAP Labs Singapore is the 20th engineering hub in the SAP Labs Network and is the newest innovation hub at SAP that drives product leadership, fosters the best talent, and aims to boost ecosystem and community engagement with a variety of initiatives.

SAP Labs Singapore has the ambition to expand significantly and become the Embedded Artificial Hub for SAP, leveraging on core competencies in the current teams. It provides an open, modern working environment and the opportunity to become part of the global SAP engineering community.

Your future team

Artificial Intelligence team as part of SAP Labs Singapore has experienced professionals taking on challenges posed by the SAP customers. Based in Singapore, you will have the opportunity to work on breakthrough projects addressing real-world problems, challenging norms with some of the SAP’s key customers. As part of the global product engineering team, you will participate in rich and engaging conversations with experts around the globe.

Purpose and objectives

As an Associate AI Developer / AI Developer, you will work together with a team of dedicated experts including AI scientists, data engineers, dev-ops engineers, and architects with a single goal of building the best-in-class AI products. You will work against fixed timelines and your success will be measured by the ability to deliver solutions matching the performance of top-notch artificial intelligence systems.

Applicants with relevant experience may be considered for AI Developer role.

Expectations and tasks

Your tasks include:

• Push the frontiers of what is possible in artificial intelligence to create new solutions.
• Explore, understand, and implement most recent technologies and approaches for cloud applications and data pipelines.
• Comfortably handle multi-terabyte data sets in scale-up and scale-out environments
• Strive for automation and cloud operation readiness.
• Understand business processes which create and consume data to be able to select best approaches, evaluate their performance and assess business relevance.
• Supports machine learning research/project teams with all aspects around data.
• Builds scalable and re-usable data processing pipelines.
• Create excellence both in terms of results quality and system scalability through continuous evaluation, analysis, and refinement of the system implementation.
• Work closely with the team, customers, and partners to holistically understand business and user requirements and derive adequate application development concepts.
• Performing quality assurance tasks and solving complex integration issues.
• Ability to work in global teams with different time zones.
• Immerse yourself quickly into new topics, terminology, and development tasks.

Educational and experience requirements

Required

• Degree in Computer Science or related field
• 0 to 3 years of working experience as software developer, preferrable in AI focused cloud application development.
• A solid foundation in computer science, with strong competencies in algorithms, data structures, objects-oriented programming, design patterns, multi-threaded programming, and software design principles
• Hands-on knowledge in at least two of the server/ client-side programming languages such as Java, Scala, Go, Python, node.js, C++
• Exposure to Big Data technologies such as Hadoop, Spark and Kafka
• Hands-on knowledge of the frameworks such as Spring, Play, AngularJS, Flask etc.
• Fundamental knowledge of container & orchestration technologies like docker, Kubernetes etc.
• Experience with cloud-based application development using platforms such as SAP’s business technology platform, AWS, Azure & Google Cloud Platform is a plus.
• Familiar with Agile/Scrum methodologies
• Strong desire to overcome obstacles and make your work benefit SAP's customers.
• Excellent written and communication skills in English language.

Optional

• Hands-on experience in Shell Scripting, PowerShell
• Excellent web UI programming skills (JavaScript, HTML5, CSS)
• Experience with JavaScript frameworks (e.g., D3.js, jQuery, RequireJS, KnockoutJS, AngularJS, NodeJS etc.)
• Knowledge of UI Design Patterns and Interactions
• Operational knowledge of Linux distributions such as Redhat, Ubuntu, CentOS, CoreOS
• Exposure to deployment and container orchestration technologies such as Docker, Kubernetes, Puppet, Chef, Ansible
• Knowledge of Machine Learning fundamentals

Job Segment: Developer, Cloud Applications, Cloud Operations, Machine Learning, Artificial Intelligence, Data science development

Job Description

• Follow SOP and carry out CAS per specification.
• Execute scheduled / special preventive maintenance (PM) as per PM schedule and
• specifications.
• Troubleshoot basic equipment related issues and minimize equipment downtime.
• Maintain good housekeeping in the production floor / sub FAB / Office, and maintenance
• support areas.
• Ensure and follow good safety practice and also safe custody of tools, equipment and
• other properties belonging to the Module.
• Know how to use SPACE to monitor and analyze SPC charts. Understand all the PR rules
• and follow CAS correctly.
• Know how to use measurement instruments effectively in data collection. Able to create
• metrology job files correctly (equipment list to be defined by the Supervisors.)
• Perform shift duties (12-hours shift) to support the running of production in the Module and
• ensure equipment readiness and worthiness for production.
• Assist Engineer in the installation and hook up of new or upgrading equipment.
• Assist in implementing equipment improvement projects.
• Able to train operators and trainers in new operational procedures.
• Execute good maintenance of support tools.
• Assist new Technician/Associate Engineers on their On-The-Job-Training (OJT) by acting
• as their buddy.
• Provide proper and accurate passed down of line issues and documentation (fill up and file
• the checklists).
• Wafer scrap reduction awareness.
• Participate in CIP programs to improve productivity and quality of equipment/process.
• Coordinate with operators to ensure efficiency of work to meet Mfg and Module objectives

Job Requirements:

• Diploma Electrical / Electronics / Mechanical / Mechatronics / Microelectronics
• Experience in Etch tools / equipment (AMAT / Mattson)
• Able to perform 12-hour rotating shift
• An excellent team player with good interpersonal skill
• Strong logical thinking capability and good analytical skill
• Highly committed with good ownership and accountability
• Passion for the semiconductor / manufacturing industry
• Able to adapt in a fast pace environment and work under pressure
• Proficient in MS Office Applications

A Scientist position is available at the Hair & Pigmentation Development Laboratory within A*STAR Skin Research Labs, a partner in the Skin Research Institute of Singapore. This candidate will become part of our research group to elucidate mechanisms regulating hair morphogenesis, growth and regeneration. This project will take up 100% of his/her time. The research fellow will lead the project and oversee a team composed of a research officer and a student.

Job Responsibilities:

• Cell culture of primary skin cells
• 2D and 3D co-culture models of hair follicle cell
• Prospective isolation of human and mouse hair follicle cells
• Whole and spatial transcriptome analysis
• Hair induction mouse models

Job Requirements:

• Degree in Biology, Bioengineering, Life Sciences or equivalent
• Advanced cell culture and molecular techniques
• Experienced with 2D and 3D skin organotypic assays
• Experienced with mouse in-vivo models
• Experienced with RNA, single-cell and spatial transcriptomics analyses
• Excellent communication (verbal and written) and presentation skills
• Highly motivated, passionate about science, committed to laboratory work and able to work flexible hours, as required by experimental planning

We are seeking an experienced Bioinformatics Scientist to support new diagnostics product development and support data analytics in software development for Software as a Medical Devices. In this role, you will play a crucial role in driving the successful execution of diagnostic products in collaboration with external partners. The ideal candidate should possess a strong background in bioinformatics and knowledge of biostatistics is highly preferred.

Job Responsibilities:

• Design, development and deployment of latest bioinformatics analysis pipelines for IVD development.
• Design, development and deployment of Bioinformatics pipelines in multi-omics data such as NGS processing, analysis, and reporting for IVD product development
• Provide Bioinformatics analysis support for diagnostics assay product development.
• Provide Biostatistics analysis support for clinical study of diagnostics product development.

Job Requirements:

• PhD or Degree in Computational Biology, Bioinformatics, or a related field, with a strong emphasis on data analytics and machine learning in biological contexts. 1- 2 years of experience or equivalent in industry settings.
• Proficient in working language with Python, R/Matlab. Good knowledge of bioinformatics workflow languages such as Nextflow, Snakemake and Common Workflow Language (CWL).
• Experience with biostatistical analysis and AI machine learning for biomarker identification and predictive model development.
• Experience with Biopython, Bioconductor, Linux and cloud-based deployment is advantageous.
• Knowledge of statistical software such as Minitab, R, SAS/STAT and SPSS, etc. is a plus.
• Experience with IVD (compliance, validation) is a plus.
• Excellent communication and collaboration skills, with experience working independently and in multi-disciplinary teams.

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 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 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 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.

Job Responsibilities

• Develop and align strategies to economic and national agenda (e.g. DxD Hub 3.0 in RIE2030 strategy), including strengthening linkages with internal and external stakeholders (e.g. MOH, clinical clusters in setting up satellite programmes).
• Translate overarching DxD Hub’s strategies into an action plan, coordinating across public sector and internal stakeholders and entities to achieve Enterprise’s desired outcomes.
• Set, monitor and report performance and tracking indicators for DxD Hub in alignment with National Platforms Co-ordinating Office and A*STAR Innovation and Enterprise (I&E) division and its operating units and in partnership with finance for financial targets.
• Establish and maintain corporate branding and public awareness of DxD Hub.
• Perform Divisional reporting and communications functions with stakeholders within A*STAR, governing and advisory boards, as well as other public agencies in the ecosystem.
• Review internal operational processes for possible improvements, in alignment with Enterprise and A*STAR best practices.
• Build capabilities of service platforms & drive realization of business outcome.
• Hires, motivates, develops, and retains key talent.
• Develop and deliver accurate reports of operational metrics to the CEO. Deliver monthly operation reports.

Requirements:

• Bachelor’s degree, preferably in Science or Engineering.
• More than 6 years of relevant working experience. Experience in strategic and/or corporate planning would be an advantage.
• Possess strong strategic and analytical thinking skills.
• Able to identify and contextualise stakeholder issues and manage them appropriately.
• Good communication (written and verbal) and interpersonal skills. Able to work in a team and guide the team to achieve their tasks. Able to work outside of organizational boundaries to engage external stakeholders as necessary
• Able to deliver results under tight timelines. Pro-active, quality conscious and results oriented.

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

Job Description :

We are looking for candidates to join the fusion-energy effort in the newly formed Future Energy Acceleration & Translation (FEAT) Programme, A*STAR. FEAT's plasma physics team focuses primarily on plasma diagnostics, microwave and radiofrequency (RF) heating and current drive (H&CD), and exhaust, with an emphasis on solving the challenges faced by future fusion energy systems. The new hires will be expected to contribute to, and potentially lead, research in magnetic confinement fusion. This includes analytical, computational, and experimental approaches, with the particular emphasis dependent on one's interests and skill set. While the new hires will begin by working on existing projects, participation in grant calls as a principal investigator will be highly encouraged.

We are looking to fill several positions in:

• Plasma diagnostics, including experimental, computational, and AI approaches.
• Theory and simulation of microwave and RF H&CD.
• Theory and simulation of plasma-material interactions, including edge turbulence and transport, sheaths, and sheath-edge coupling.

The key scope of work includes:

• Understanding the physics of fusion plasmas, exhaust, plasma diagnostics, and/or RF H&CD.
• Publishing peer-reviewed papers.
• Writing grants and developing the direction of fusion research in FEAT.
• Supporting local and international collaborators in fusion research.
• Supervising students and interns (optional).

Job Requirements:

• PhD in Physics, Plasma Physics, or equivalent, with a background in magnetic confinement fusion, such as in plasma physics and/or engineering.
• Deep knowledge in at least one of the followings:
  1. Plasma diagnostics (including hardware experience). Candidates with an experimental inclination will have the opportunity to travel to international collaborators' experiments for extended periods.
  2. Theoretical plasma physics (such as plasma waves, turbulent transport).
  3. Computational plasma physics (such as full-wave, beam tracing, fluid dynamics, gyrokinetics).
• Proficiency in programming languagues such as, but not limited to, Python, C/C++, and Julia.
• Good interpersonal and communication skills both oral and written, ability to adapt and work effectively as a member of a team.
• Resourcefulness and self-motivation with a high degree of professional integrity

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.