Total 2,208 Others level Science / R&D / Research job vacancies

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Assistant-%28Sustainable-Diets%29/32517-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

Applications are invited for the following full-time position in the Saw Swee Hock School of Public Health:

Research Assistant

The Saw Swee Hock School of Public Health (SSHSPH) at the National University of Singapore (NUS) is recruiting a full-time, experienced research assistant to support a funded research project investigating knowledge, attitudes, and practices related to sustainable diets, their environmental implications (e.g. greenhouse gas emissions), and their association with cardiometabolic disease outcomes in a multi‑ethnic Asian population in Singapore.

Job scope:
• Support the development, adaptation, and implementation of a knowledge, attitudes, and practices survey on sustainable diets and environmental impact, including assisting with item refinement, pilot testing, and survey documentation
• Assist in administering and coordinating the conduct of the survey, including data integrity checks and response tracking, as applicable
• Manage, clean, and analyse survey data
• Support analysis of dietary data derived from food frequency questionnaires in large population-based cohorts
• Assist in deriving and validating diet quality indices (e.g. Planetary Health Diet Index)
• Support assessment of sustainable diet indicators, including environmental impact metrics where applicable
• Conduct literature reviews on sustainable diets, nutrition-related health outcomes, and planetary health
• Assist with data cleaning, management, and statistical analyses using epidemiological datasets
• Contribute to preparation of manuscripts, abstracts, and presentations for academic and policy audiences
• Perform other research-related duties as assigned by the Principal Investigator

Requirements:
• At least 1–2 years of relevant research experience, preferably in population health, nutrition, or survey‑based studies
• Experience working with survey or questionnaire data, including data entry, cleaning
• Familiarity with quantitative data analysis and interpretation
• Proficiency in at least one statistical software package (e.g. R, STATA)
• Good understanding of research ethics and data confidentiality in human subjects research
• Strong organizational skills and attention to detail, with the ability to manage multiple tasks and deadlines
• Ability to work independently and collaboratively within a multidisciplinary research team
• Clear written and verbal communication skills in English

The following knowledge and experience would be advantageous:
• Prior experience in survey development, pilot testing, or fieldwork coordination
• Familiarity with dietary assessment methods (e.g. FFQs, diet indices)
• Experience or familiarity with life cycle assessment (LCA) or environmental impact assessment, particularly in the context of food systems, diets, or sustainability research
• Experience contributing to manuscripts, reports, or conference abstracts

The grade of appointment will be accorded based on candidate’s academic qualifications and years of relevant experience.

Applicants should send the following documents during application:
a. Cover letter highlighting career goals and relevant experience
b. Curriculum Vitae, containing details of three named referees

Please note that only shortlisted candidates will be contacted.

Qualifications

• Bachelor's degree in Public Health, Nutrition, Epidemiology, Biostatistics, Environmental Health, Behavioural Science, or a closely related discipline

New Product Development

• Proceeds development according to implement plan
• Makes functional specification
• Proceeds electrical, or firmware design
• Plans and proceeds prototype model evaluation and prepare evaluation to reports.

Re-design of Products

• Supports Lead Engineer to estimate return and investment.
• Proceed re-design according to implementation plan.
• Proceeds electrical, mechanical or firmware design.
• Plans and proceeds prototype model evaluation and prepare evaluation report.
• Makes up product manufacturing standard.

Technical Support

• Prepares technical information for parts localize and price negotiation.
• Supports production line if necessary according to superior’s direction.
• Supports parts faculty/investigation according to superior’s direction.

Requirements:

• Bachelor of Mechanical Engineering
• Experience in analog or digital electrical hardware design.
  Prefer 2-3 years of relevant experience.

Electronics Manufacturing Industry

East/Bedok

5 days work week

Interested Applicants, kindly email your detailed resume via email to hr@tempserv.com.sg

Tempserv Pte Ltd

License No: 06C3745

Tel: 62226441

Attention: Audris Teo / EA Personnel No: R1102063

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Company Overview

The organisation is a collaborative research and innovation centre that works closely with industry partners to develop and deploy advanced manufacturing solutions. Operating within a strong public‑private partnership model, the centre focuses on driving industrial competitiveness through applied research, technology translation, and workforce capability development.

One of its core research groups specialises in smart virtual systems, leveraging artificial intelligence, optimisation techniques, and advanced modelling to enable intelligent, data‑driven decision‑making across modern manufacturing environments.

Role Overview

This role is suited for a motivated Scientist or Senior Scientist to lead and deliver research in modelling and optimisation for complex, enterprise‑level multi‑resource planning problems. The position offers the opportunity to push the boundaries of operations research while translating academic advances into practical, industry‑ready solutions across a diverse set of sectors.

The successful individual will bring strong technical expertise, the ability to lead research activities and project delivery teams, and excellent communication skills to engage both technical and business stakeholders. This role spans research leadership, project execution, and external collaboration, with a strong emphasis on real‑world impact.

Key Responsibilities

• Lead research and development of advanced optimisation algorithms addressing multi‑resource planning challenges such as production scheduling, capacity planning, and inventory optimisation.
• Collaborate closely with engineering teams to translate research outputs into deployable, industry‑ready systems.
• Define scientific research directions and develop innovative project proposals aligned with industry requirements.
• Drive competitive research funding applications and participate in collaborations with academic and industry partners.
• Publish research outcomes in leading international journals and conferences.
• Mentor junior researchers and contribute to long‑term research and capability roadmaps in enterprise optimisation.

Requirements

• PhD in Artificial Intelligence, Computer Science, Operations Research, or a related discipline, with a strong focus on optimisation, machine learning, or data science.
• Solid expertise in modelling and optimisation for planning and scheduling problems.
• Minimum of 3 years’ experience in research leadership and research project management.
• Proven capability in programming and algorithm development for optimisation and machine learning (e.g. Python, C#, .NET).
• Strong publication record in high‑quality international journals and conferences.
• In‑depth understanding of production planning, scheduling, and inventory optimisation domains.
• Excellent written and verbal communication skills, with the ability to present complex ideas clearly.
• Demonstrated experience applying optimisation techniques to real‑world, multi‑resource industry problems (industry project experience is advantageous).

• Develop research reports, briefs, and articles using clear and compelling data storytelling.

• Design, implement, and analyse research studies and surveys to identify emerging labour market trends and gaps.
• Provide advisory support on statistical, analytical, and modelling methodologies.
• Track labour market developments and recommend innovative approaches to data analysis and visualisation.
• Collaborate with internal stakeholders to ensure research outputs are accurate, relevant, and impactful.

Requirements

• Bachelor’s degree in any discipline, with a strong interest in data analysis, numbers, and pattern recognition.
• Minimum 2 years of experience in research, analysis, or data‑related roles.
• Strong written and verbal communication skills, with the ability to explain data clearly to different audiences.
• Self‑motivated, responsible, and highly detail‑oriented.
• Exposure to statistical or analytical tools such as SAS, R, Python, or STATA.
• Experience with data visualisation tools (e.g. Tableau or Power BI).
• Knowledge or experience in econometric or quantitative modelling is an advantage.

Interested candidate please click "APPLY" to begin your job search journey and submit your CV directly through the official PERSOL job application platform - GO Mobile.

We regret to inform that only shortlisted candidates will be notified.

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOL Singapore Pte Ltd and its local and overseas subsidiaries and affiliates to collect, use and disclose your personal data to prospective employers/companies based in any country for purposes of evaluating  suitability for employment, conducting reference checks, administering employment related services, complying with Government’s health advisories and such other purposes stated in our privacy policy. Our full privacy policy is available at https://www.persolsingapore.com/policies.  If you wish to withdraw your consent, please drop us an dataprotection@persolapac.com) to let us know. Please feel free to contact us if you have any queries

PERSOL Singapore Pte Ltd • RCB No.200007268E • EA License No. 01C4394• Reg No: R1440784 (Foo May Cheng) 

The Senior Functional Consultant will support the implementation, rollout, and enhancement of Microsoft Dynamics 365 Finance & Operations – Supply Chain Management (SCM) solutions.
The role focuses on business process analysis, functional configuration, end‑to‑end functional testing, documentation, and stakeholder coordination for regional ERP programs.

Functional Responsibilities

• Gather, analyze, and document business requirements across Supply Chain Management areas, including:
• Procurement & Sourcing
• Inventory Management
• Warehouse Management
• Production Control / Manufacturing
• Master Planning & Demand Forecasting
• Logistics and Distribution
• Conduct business process workshops, As‑Is / To‑Be analysis, and fit‑gap assessments with business stakeholders.
• Configure Dynamics 365 F&O SCM modules in line with approved requirements and industry best practices.
• Prepare and maintain functional documentation, including:
• Functional Design Documents (FDDs)
• End‑to‑end process flows
• Configuration and setup documentation

Testing & Quality Assurance Responsibilities

• Define and manage end‑to‑end functional test scenarios covering SCM business processes.
• Prepare functional test cases and test scripts based on approved requirements.
• Execute and support System Testing and User Acceptance Testing (UAT).
• Validate end‑to‑end business flows across modules, integrations, and legal entities.
• Analyze defects, perform functional root‑cause analysis, and coordinate resolution with relevant teams.
• Support business users during conference room pilots (CRPs) and solution walkthroughs.

Stakeholder & Delivery Support

• Work closely with business users, project managers, and solution leads throughout the project lifecycle.
• Explain functional requirements clearly and validate delivered functionality against business expectations.
• Support change request analysis, functional impact assessment, and regression testing.
• Provide functional support during go‑live and post‑go‑live hypercare phases.
• Participate in regional rollout and deployment activities across APAC where required.

Job Requirements

Qualifications & Experience

• Bachelor’s degree in Information Technology, Engineering, Business, or a related discipline.
• Minimum 8 years of experience as a Dynamics AX / Dynamics 365 F&O SCM Functional Consultant.
• Strong hands‑on experience in Supply Chain functional areas.
• Experience supporting at least one end‑to‑end ERP implementation or major rollout.
• Knowledge or experience in Microsoft Dynamics AX 2012 is a plus, especially for legacy system support or migration initiatives.

Skills & Competencies

• Strong understanding of end‑to‑end supply chain business processes.
• Proven experience in functional configuration and end‑to‑end functional testing.
• Ability to define and validate business scenarios across multiple SCM modules.
• Strong documentation, analytical, and communication skills.
• Ability to work effectively in a contract‑based, project‑driven environment.

Key Responsibilities:

• Develop and conduct high quality research independently, as a candidate is expected to have relevant experience in one or more of these areas (e.g. mice/rodent handling, optogenetics and behaviours, animal surgery and dissection, calcium imaging, gnotobiotic studies and microbiome analysis, etc).

• Lead, assist or learn in a dynamic range of projects and lab duties, including but not limited to molecular biology and histology procedures, microscopy, rodent behavioural assays, neuroscience optogenetic and chemogenetic techniques, functional recording and calcium imaging, mice surgery, data analysis and presentation, lab maintenance and office, academic and administrative tasks

• Mentor and collaborate with group members and other research teams

• Demonstrate him/herself exceptionally self-motivated, a team player

• Any other responsibilities as advised by the PI based on the evolving needs in the lab

Key Competencies and Educational Requirements:

• Hold a Masters or Bachelor degree in Biology or relevant disciplines

• Have a keen interest in the lab’s research theme on the microbiome gut brain neuroscience

• Be proficient in relevant techniques described above

• Be highly motivated and conscientious

• Demonstrate her/his competencies and qualifications satisfactorily

• Work independently, and also have the ability to work effectively in a team

• Have good organisational, verbal and interpersonal skills

Who are we?

Explorer Academy is a dynamic science tuition centre based in Singapore, committed to sparking curiosity and building confidence in Primary and Secondary school students. We’re looking for passionate, energetic, and dedicated educators to join our growing team!

Available Job Positions:

• Primary School Science
• Lower Secondary Science
• Level Chemistry
• Level Physics
• Level Biology

What you'll do:

• Teach small group classes (6–10 students) using our in-house curriculum
• Provide academic guidance and regular progress updates to parents
• Offer support to students who need additional help
• Collaborate on lesson content updates and curriculum improvements
• Participate in planning and delivering holiday programmes

What you bring:

• Have past experience in teaching Science
• Strong understanding in Singapore MOE primary / secondary school syllabus for your relevant subject.
• Degree in Science or Science related courses
• Possesses excellent communication and collaboration skills
• Passionate in teaching and mentoring students
• Strong team player with excellent interpersonal skills
• Degree Holder (Science Degree Chemistry/Life Science/ Engineering / Teaching)

Working Hours:

4 weekdays + 1 Weekend

Contract Period: From 1 August 2026 to 31 July 2027 with an option to extend the Contract for a further period of 1 year.

Working hours:
·     Mondays to Wednesdays only: 8:00am to 5:00pm, inclusive of 30mins lunch break
·     Service is not required on gazetted public holidays

Scope of Services:

1. Assist in the preparation of teaching and learning resources.
2. Assist in the preparation of science experiment materials and maintain the cleanliness and organisation of the science laboratory.
3. Assist students in carrying out the science experiments under the supervision of the Science teachers.
4. Provide administrative support to the teachers (e.g. preparation of student’s achievement certificates and collation of students’ survey responses).
5. Manage the loan and return of teaching resources and prepare documentation for the condemnation of teaching resources where required.
6. Provide front-desk customer service, including handling walk-in and telephone enquiries from parents as when required.
7. Assist with school printing duties as when required.

Qualifications, skills and experience:

·       GCE N-Level Certificate with passes in English and Mathematics.

·       At least two (2) years of experience in providing teaching support.

·       At least two (2) years of experience in handling reception duties or equivalent administrative responsibilities.

Candidates with prior experience working in a local school environment will be preferred.

Job Description
Singapore’s convective weather is highly complex and rapidly evolving, creating significant uncertainty in forecasting its frequency, severity, and spatial distribution. As a future-ready connectivity hub, this directly affects the efficiency, reliability, and safety of our aviation and maritime operations, leading to disruptions, increased costs, and heightened safety risks from severe weather such as heavy precipitation and lightning. To strengthen national capabilities, we are advancing AI-enabled localized tropical weather prediction under projects secured through the Aviation Meteorological Programme (AMP) and Weather Science Research Programme (WSRP).

We are seeking highly motivated Research Scientists and Engineers to advance our AI-enabled weather intelligence research. The role focuses on conducting cutting-edge, data-driven research on tropical convective hazard prediction using multi-modal datasets from weather observation systems and Numerical Weather Prediction (NWP) models. Successful candidate will work with a team of data scientists and engineers to develop, implement, and evaluate advanced machine learning and deep learning models for multi-source, multi-scale weather forecasting, leveraging state-of-the-art AI techniques to improve the accuracy and spatio-temporal resolution of hazardous weather predictions such as heavy precipitation, strong winds, and lightning. Beyond methodological innovation, you will also play a key role in translating research breakthroughs into operationally deployable solutions, working in a multi-disciplinary team comprising atmospheric scientists and operational stakeholders.

This work directly contributes to delivering actionable hazard intelligence to support real-world applications, including safer and more efficient air and ground operations in tropical environments. You will join a high-impact team addressing key challenges at the intersection of AI and weather science.

Job Requirements

• Ph.D in Computer Science, Computer Engineering, Data Science, or a related discipline with rich AI experience

• Strong programming skills, with proficiency in Python and PyTorch, and experience in optimizing deep neural networks for large-scale, multi-GPU training.
• Experience in data analysis, cleaning, and visualization, particularly for real-world sensor data (e.g., radar, satellite, lightning, and weather station data).
• Expertise in deep learning, especially in spatio-temporal modelling, generative AI, physics-informed learning, and uncertainty modelling.
• Experience in dense video prediction tasks such as video prediction or precipitation nowcasting is highly desirable.
• Knowledge of tropical weather systems or atmospheric science is a plus.
• Demonstrated ability to conduct independent, high-quality research and translate ideas into deployable prototypes.
• Strong communication and collaboration skills, with the ability to work effectively with domain experts and operational stakeholders.
• A strong sense of ownership, research integrity, and the ability to deliver high-quality work under tight timelines.
• A genuine passion for advancing AI technology and translating research outcomes into real-world operational impact.

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.

Key Responsibilities:

• The postdoctoral applicant must demonstrate commitment to co-create impactful discoveries in the microbiome gut-brain neuroscience field with us.

• In addition to being exceptionally motivated, having core skills for animal and lab work, and willing to work in our team and help with essential lab duties.

• The candidate must have experience and specialized expertise in multiphoton/ 2-photon in vivo calcium imaging and data analysis, or in gnotobiotic studies and microbiome analysis/bioinformatics.

Key Competencies/Requirements:

• Hold a doctoral (PhD) degree in neuroscience or relevant disciplines with strong publication track record

• Lead impactful work within the lab’s research theme on the microbiome gut brain neuroscience

• Exhibit proficiency in mice/rodent handling, optogenetics and behaviours, animal surgery and dissection

• Demonstrate experience and specialized expertise in multiphoton/ 2-photon in vivo calcium imaging and data analysis, or in gnotobiotic studies and microbiome analysis/bioinformatics

• Be highly motivated and conscientious, able to work independently and with a team, and willing to teach, learn, and assist with essential lab duties

We regret that only shortlisted candidates will be notified.

• Coordinate research activities and ensure projects remain on track across different stages.

• Manage vendors and review research materials, including questionnaires and code frames.
• Test surveys and review data outputs to ensure accuracy, consistency, and quality.
• Consolidate and prepare datasets from multiple sources, ensuring data reliability.
• Create clear and impactful data visualisations using Excel (e.g. charts, pivot tables, dashboards) to support data‑driven decision‑making.
• Support the enhancement of data dashboards through planning and testing.

We’re Looking for Someone Who:

• Has strong organisational skills and thrives in a fast‑paced, deadline‑driven environment.
• Pays close attention to detail and takes pride in ensuring data accuracy.
• Is highly proficient in Excel and comfortable working with large datasets.
• Communicates clearly and effectively with internal and external stakeholders, both written and verbally.

Interested candidate please click"APPLY" to begin your job search journey and submit your CV directly through the official PERSOL job application platform - GO Mobile.

We regret to inform that only shortlisted candidates will be notified.

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOL Singapore Pte Ltd and its local and overseas subsidiaries and affiliates to collect, use and disclose your personal data to prospective employers/companies based in any country for purposes of evaluating  suitability for employment, conducting reference checks, administering employment related services, complying with Government’s health advisories and such other purposes stated in our privacy policy. Our full privacy policy is available at https://www.persolsingapore.com/policies.  If you wish to withdraw your consent, please drop us an dataprotection@persolapac.com) to let us know. Please feel free to contact us if you have any queries

PERSOL Singapore Pte Ltd • RCB No.200007268E • EA License No. 01C4394• Reg No: R1440784 (Foo May Cheng) 

Job Description

We are seeking a Curriculum Specialist to design and implement science curriculum for secondary students. The role focuses on developing effective teaching approaches, strengthening tutor capabilities, and improving student outcomes, alongside providing tutoring under the CDAC Tuition Programme.

Job Responsibilities 

1. Curriculum Development

• Design and implement science curriculum aligned with student needs and MOE syllabuses
• Develop and pilot evidence-informed teaching approaches to improve engagement and understanding
• Use student data to refine curriculum and enhance programme effectiveness

2. Professional Development

• Design and deliver training, resources, and coaching to strengthen tutors’ instructional practices
• Collaborate with internal teams and external partners to support innovative learning initiatives

3. Tutoring

• Tutor and coach Secondary Science students, providing targeted academic support
• Monitor student progress and provide feedback
• Assist with tutor coverage when required, including evenings and weekends

4. Programme Support

• Support programme implementation, reporting, and partnerships

Requirements

• Degree in Science, Science Education, or related field
• At least 3 - 5 years’ experience in teaching or curriculum development (Secondary Science preferred)
• Good knowledge of MOE Secondary Science syllabuses and assessments
• Experience in curriculum design and educator support is an advantage
• Strong communication and analytical skills with a student-centred approach
• Passion for supporting low-income learners
• Willing to work evenings/weekends and travel between centres

Role:

This is a full-time, onsite, Science Teacher Assistant role in MOE Primary School. If you are selected,

You will work closely with HOD/LH-Science and/or Admin Manager in an MOE Primary School (nearest MRT- Punggol) in the day-to-day activities.

The company provides endless opportunities for career progression and better work - life balance.

Responsibilities:

a. Management of resources

❖ Regular Inventory management in Science Labs including stock-take, replenishing, repairs and replacement

❖ Assist HOD (Science) to liaise with vendors in procurement for inventory

management in Science Labs

❖ Organise resources neatly with name labels in the Science Labs

❖ Assist the teacher to facilitate student discussions

❖ Tidying up of Science Labs

b. Preparation of resources

❖ Co-ordinate loan request from teachers in the Science Labs

❖ Preparing and set up of resources according to scheme of work & specifications given by teachers in the Science Labs

❖ Printing and photocopying jobs in the Printing Room

❖ Preparation of teaching aids such as cutting and lamination works in the Science Labs.

Administrative duties:

• Assist with other ad-hoc administrative duties and preparation of resources for the Authority as required by the school and/or department.

Job Requirements:

● GCE 'N'/’O’ Level Certificate

● should demonstrate knowledge and skills in handling common Lab equipment found in school labs. (eg. Microscope, dataloggers, etc.)

● 1 year of working experience in Primary School Science Lab

** We regret to inform that only shortlisted candidates will be notified.

Summary:

Contract Period: From 17 Aug 2026 to 16 Aug 2027.

Working Hours:

● Mondays to Thursdays: 7:30am to 4:30pm, inclusive of 30min lunch break

● Fridays: 7:30am to 4:00pm, inclusive of 30min lunch break

● Service not required on Saturdays, Sundays and gazetted public holidays.

(may vary the timing of the working hours when required in schools authority)

Location : Punggol

COMPANY DESCRIPTION

Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The 'family-like' atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together - building a strong collegiality and morale within the university.

Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities - all to meet the work-life needs of our staff. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence.

RESPONSIBILITIES

• This position is for School of Computing and Information Systems (SCIS).
• Design and implement AI for software engineering solutions.
• Conduct evaluations and/or user studies to validate the effectiveness of the algorithms and tools.
• Write and publish research papers and present them to reputable academic conferences.
• Package the documents, implementation code, evaluation results of the project for public release.
• Liaise with other team members of this project to realize the overall goal of the project.
• Other duties as assigned.

• Bachelor degree in Computer Science, Information Technology, or related discipline (e.g., Computer Engineering, Physics).
• 3+ years of industry experience in CI/CD automation, big data pipeline, and/or applied AI/ML
• Prior experience in vulnerability reporting and fixing, demonstrated by concrete accepted pull requests.
• Highly fluent in Python and SQL; competent in at least one additional language (e.g., C++).
• Demonstrated experience building and optimizing end-to-end data/ML pipelines.
• Hands-on experience with cloud platforms and big data tools.
• Competent in designing and implementing algorithms and data structures.
• Practical experience applying ML/AI techniques in production environments.
• Excellent knowledge about software engineering and artificial intelligence.
• Competent in designing and implementing algorithms and data structures.
• Excellent oral and written communication skills.
• Excellent analytical, technical and problem-solving skills.
• Self-motivated individual who can work independently and also collaboratively with team members.
• Able to work under strict deadlines.

#LI-JN2

Job Description

Airports are increasingly complex socio-technical systems in which efficient coordination of airside, landside, and even terminal operations is critical to maintaining safety, efficiency, and the passenger experience. As a major global aviation hub, Singapore must continuously enhance its airport management capabilities to support growing traffic demand, operational resilience, and sustainable airport operations. Achieving this requires advanced operational concepts, data-driven decision support, and integrated management of airport resources across stakeholders.

To strengthen national capabilities in airport systems research, we are advancing the TAM and CONOPS studies under collaborative initiatives with aviation stakeholders. These efforts aim to develop next-generation operational frameworks that integrate airport stakeholders, optimise resource allocation, and improve situational awareness and decision-making across the airport ecosystem.

We are seeking highly motivated Research Scientists to conduct cutting-edge research in airport operations, TAM, and CONOPS development. The role focuses on analysing complex airport operational processes, developing data-driven models, and designing future airport operational concepts to enhance efficiency, resilience, and collaboration among stakeholders, including air traffic management, airlines, ground handlers, and airport operators.

Successful candidates will work within a multidisciplinary team of researchers and engineers to develop advanced operational models, simulation tools, and optimisation frameworks that support airport-wide decision making. This includes studying airport operational workflows, identifying system bottlenecks, and designing integrated solutions for areas such as aircraft turnaround, ground movement, towing operations, gate and stand allocation, and disruption management.

Beyond research innovation, you will play a key role in translating research insights into operational decision-support tools and demonstrable prototypes, working closely with industry partners and operational stakeholders to ensure the relevance and deployability of developed solutions.

This work contributes directly to strengthening Singapore’s position as a future-ready global aviation hub, enabling more efficient, resilient, and intelligent airport operations through data-driven research and operational innovation.

Job Requirements

• PhD degree in Operations Research, Industrial Engineering, Systems Engineering, Computer Science, Computer Engineering, Data Science, Electrical Engineering, Mechanical Engineering, or a related discipline with rich AI experience.

• Strong programming and data analysis skills, preferably using C/C++, JAVA, or similar.
• Experience in data analysis, cleaning, and visualisation, particularly for real-world sensor data (e.g., surface radar, GPS, and weather data).
• Experience in simulation, optimisation, or decision-support systems applied to transportation or airport operations is highly desirable.
• Experience in process modelling, operational concept development, and workflow analysis for large-scale operational systems.
• Strong background in airport operations, air transport systems, or complex system modelling, with experience in operational analysis and systems-level thinking is a plus.
• Demonstrated ability to conduct independent, high-quality research and translate ideas into deployable prototypes.
• Strong communication and collaboration skills, with the ability to work effectively with domain experts and operational stakeholders.
• A strong sense of ownership, research integrity, and the ability to deliver high-quality work under tight timelines.
• A genuine passion for advancing AI technology and translating research outcomes into real-world operational impact.

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.