Total 94 Transportation / Logistics job vacancies in George Town

Why Join Us?

• Competitive salary with year-end rewards, including service bonus up to $10,000.
• Stable job with career growth opportunity.
• Friendly and supportive management.

Job Responsibilities:

• Transport shipping containers from one port to another (i.e. Keppel Terminal, Brani Terminal, Pasir Panjang Terminal and Tuas Terminal).
• Ensure that the trailer truck is clean and in serviceable operating conditions.
• Practice safe driving habits in compliance with PSA and public traffic rules.

Job Requirements:

• Preferably 1 year of experience in driving trailer trucks.
• Possess a Singapore class 4/5 driving licence.
• Able to speak and write in simple English.
• Familiar with Singapore’s road network and traffic.
• Safety-conscious with a good driving record.
• Able to handle shift work and outdoor conditions.

Work Schedule:

• Day Shift: 7:30 AM to 7:30 PM (meal break included).
• Night Shift: 7:30 PM to 7:30 AM (meal break included).
• Choose between day, night, or rotating shifts, with flexible rostering available (subject to operational needs).

Need More Information?

Call or text us at +65 9886 6515 to speak with one of our friendly career advisors. They’ll be happy to answer your questions and guide you through the application process!

Why Join Us?

· Competitive salary with year-end rewards, including service bonus up to $10,000.

· Stable job with career growth opportunity.

· Friendly and supportive management.

Job Responsibilities:

· Drive prime mover truck to transport shipping containers within PSA Pasir Panjang Terminal.

· Ensure safe and efficient movement of containers between ships and designated locations.

Job Requirements:

· No experience needed- training and certification provided.

· PSLE pass in English.

· Possessing a Singapore Class 3, 4, or 5 driving licence (Sponsorship available for Class 3 licence).

· Safety-conscious with a good driving record.

· Able to handle shift work and outdoor conditions.

Work Schedule:

· Day Shift: 7:30 AM to 7:30 PM (meal break included).

· Night Shift: 7:30 PM to 7:30 AM (meal break included).

· Choose between day, night, or rotating shifts, with flexible rostering available (subject to operational needs).

Need More Information?

Call or text us at +65 9886 6515 to speak with one of our friendly career advisors. They’ll be happy to answer your questions and guide you through the application process!

How to Apply:

Click the Apply Now button and submit your updated resume. We look forward to welcoming you to our team!

Join us in our mission to transform the healthcare landscape in Singapore! We - the NUHS@Home team - are a dynamic new home hospital service looking for passionate and innovative staff to co-create with us.

As a Driver for NUHS@Home, you will be an integral part of our healthcare team, playing a crucial role in supporting our clinicians by providing safe and timely transportation to and from patients' homes and our HQ offices. Your position is vital in ensuring the smooth operation of our home-based care services. Your responsibilities will include dependable driving, effective coordination with medical and operations teams, and strict adherence to safety standards and traffic regulations. By maintaining vehicle readiness and delivering punctual service, you will directly contribute to enhancing the efficiency of our care delivery, supporting staff well-being, and fostering positive patient experiences.

Job Responsibilities

1. Safe and Timely Transportation

• Safely transport healthcare staff to/from patients' homes and HQ
• Ensure punctual pick-ups and drop-offs
• Plan efficient routes and adapt to schedule changes

2. Vehicle Management and Support

• Conduct daily vehicle checks and report issues promptly
• Assist with loading/unloading medical equipment
• Maintain inventory of consumables

3. Operational Excellence

• Keep accurate driving logs and report incidents immediately
• Respond appropriately to emergencies and unforeseen situations
• Maintain knowledge of alternate routes

4. Professional Conduct

• Adhere to traffic rules, safety regulations, and company policies
• Represent the organization positively and maintain confidentiality
• Collaborate effectively with the medical team and fleet coordinator

Job Requirements

• Minimum GCE ‘O’ Level with valid Class 3 or equivalent driving licence
• Minimum 3 years of professional driving experience (preferably in healthcare support services, fleet or transport)
• Experience in transporting people and/or medical equipment in a time-sensitive environment is an advantage
• Ability to navigate efficiently using GPS and route-planning tools
• Excellent driving skills with strong knowledge of road safety regulations and safety laws
• Proven record of safe driving with no traffic violations
• Strong time management and punctuality to adhere to schedules
• Ability to adapt to ad-hoc changes in schedules
• Effective communication skills to coordinate with clinicians and operations teams
• Basic vehicle troubleshooting (e.g. checking tire pressure, battery, warning lights)
• Customer service mindset with professionalism, patience and courtesy

Are you as excited as we are when we talk about the distribution of bulk liquids operated by the world’s largest and most sophisticated fleet of chemical and parcel tankers, with over 70 deep-sea ships?

Stolt Tankers a division of Stolt-Nielsen Limited (SNL), is the specialist in transporting bulk liquids: Chemicals, clean petroleum products, vegetable oils, biofuels and oleochemicals. We are building a Winning culture that is characterised by a Safe, Sustainable and a Continuous Improvement mindset. As part of this, we are rolling out Continuous Improvement training to all our shore-based and seagoing colleagues.

What You Will Be Doing

Responsible for negotiation and fixing spot cargoes on various routes and allocating contract cargoes to assigned ships to maximize the vessels’ financial results within the prevailing market conditions.

Key Responsibilities 

• Responsible for fixing spot cargoes on various routes on assigned ships in order that profit can be maximized given market conditions or strategic goals to be met.
• Coordinate with COA customers to receive nomination on time and build programs which fit vessel schedules.
• Coordinate with chartering and operation departments to maximize space utilization, minimize the number of port and berth calls and maximize the voyage financial results.
• Maintain current voyage records and documentation to customers for tonnage loading within the service. Prepare voyage profit and loss statements.
• Maintain a thorough knowledge of all relevant charter party forms and Stolt-Nielsen standard terms.
• Coordinate all aspects of trans-shipments for respective cargoes.

 Qualifications

• College degree with maritime specialty preferred and 5 to 7 years post graduate experience
• Operations, barging and demurrage experience desired
• Tanker sailing experience desired

What we offer

Join us and become part of a family-founded organization where your contribution counts.

• A full-time and permanent role
• Working hours: 5 days’ work week (Monday – Friday), 9am to 5.30pm
• A competitive compensation package, including a 13th month
• Good flexible medical benefits for you and your family members

How to apply

• Complete the online application form and send it to us along with your CV.

About Stolt-Nielsen 

Stolt Tankers is a division of Stolt-Nielsen Limited (SNL),focused on opportunities in logistics, distribution, and aquaculture. The Stolt-Nielsen portfolio consists of its three global bulk liquid and chemicals logistics businesses: Stolt Tankers, Stolthaven Terminals and Stolt Tank Containers – Stolt Sea Farm and investments in LNG. Stolt-Nielsen Limited is listed on the Oslo Stock Exchange (Oslo Børs: SNI). Our values: commit to go further, collaborate for success, act pragmatically and create solutions.

Disclaimer for recruitment agencies 

We don’t accept any unsolicited applications or CVs from recruitment and selection agencies.

Duties

The most important duty of delivery drivers is to drive safely to their destination. Drivers are also often expected to help with the loading and unloading of their products, keep logs of their activities and make sure their vehicles are maintained in good working order. Package delivery service drivers and those whose job involves sales often have to accept payment for services and handle other paperwork related to the delivery. Some may be responsible for obtaining new customers along a delivery route.

Requirements

Delivery drivers often receive on-the-job training, covering company products and policies, the preparation of delivery forms and the operation and loading of the vehicle. Part of the training may involve riding with experienced drivers. Those who drive armored vehicles may have to obtain a concealed weapons permit. Drivers required to use location or automatic routing software are given instruction in this technology.

The position requires good eyesight, hearing and physical condition. Because delivery drivers often deal with customers, employers look for applicants with initiative, who are neat, well spoken, courteous and work well with little supervision. A satisfactory driving record is usually required.

Job Summary

You will load and unload food products, deliver them accurately to supermarkets, hotels, and restaurants, and ensure all delivery documentation is completed and submitted. You will also maintain the delivery vehicle to ensure safe and reliable operation.

Responsibilities

• Load and unload food products carefully to prevent damage and ensure order accuracy
• Deliver food products to supermarkets, hotels, and restaurants on scheduled routes accurately and on time
• Obtain customer signatures on delivery orders to confirm receipt and return signed documents to the office promptly
• Submit all completed invoices and delivery orders to office administration for processing
• Inspect the delivery vehicle daily, clean it, and maintain fluid and oil levels to ensure safe and efficient operation
• Navigate Singapore routes and buildings efficiently to optimize delivery times and customer service

Required competencies and certifications

• Hold a valid Class 3 or Class 4 driving licence with a clean driving record
• Maintain physical fitness to perform loading, unloading, and delivery tasks safely and effectively
• 6 days workweek, based on assigned working schedule
• Reporting Work Location: 232 Pandan Loop

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-Fellow-%28Supply-Chain-Management%29/32507-en_GB/

We regret that only shortlisted candidates will be notified.

Job Role/ Core Capabilities

• Experience with logistics and supply chain processes, including transport operations, fleet management, and operational readiness frameworks
• Model & Algorithm Development: Design, build and implement optimisation models for various transportation contexts, and machine learning classifiers
• Heuristics & Solvers: Develop and refine custom heuristics and metaheuristics (e.g., Tabu Search, Genetic Algorithms) to find high-quality solutions for large-scale, real-world problems. Utilise commercial and open-source solvers (e.g., Gurobi, CPLEX, Google OR-Tools).
• Formulate and solve Mixed-Integer Linear Programmes (MILP) for real-time vehicle–task assignment including objective function design and constraint modelling
• Design, implementation, and delivery of simulation data science solutions to perform system-of-systems discrete event simulations for significantly complex operational processes (e.g., AnyLogic, AnyLogistix, FlexSim, Arena, Demo 3D, etc.)
• Data Analysis & Feature Engineering: Analyse historical and real-time data from multi-source inputs
• Experience analysing large datasets and applying data-cleaning techniques along with performing statistical analyses leading to the understanding of the structure of datasets
• Machine Learning & AI: Train, evaluate, and deploy supervised classification models (e.g., XGBoost, LightGBM), design ensemble pipelines combining rule-based, probabilistic, and ML components; apply explainability tools (e.g., SHAP, LIME) to produce interpretable, auditable decision outputs
• Experience with data visualisation and visualisation tools (e.g., MS Power BI, Tableau), including design and delivery of operational KPI dashboards covering driver–task mismatch rates, fleet health distribution, fatigue heatmaps, and dispatch allocation efficiency

Requirements

Education

• PhD in industrial engineering, Operations Research, Computer Science, Operations Research or an equivalent field

Experience

• Min 1–2 years of experience in logistics and supply chain management
• Experience in research or applied engineering environment delivering optimisation, simulation, or decision-support systems for operational contexts
• Track record of end-to-end model delivery: problem formulation: data pipeline, algorithm design, implementation, validation, stakeholder communication

Technical Skills

• Experience or familiarity with optimisation packages such as Gurobi, CPLEX, OR-Tools, and Python PuLP for MILP formulation and solver configuration
• Experience or familiarity with simulation tools such as AnyLogic, AnyLogistix, FlexSim, Arena, AIMMS, Demo 3D or similar tools
• Proficiency in Python including pandas, numpy, scipy, scikit-learn, XGBoost, PuLP/OR-Tools, and pytest; proficiency in SQL for data queries and operational log extraction
• Experience with MS Power BI, Tableau
• Familiarity with MLflow or equivalent experiment tracking tools for ML retraining pipelines
• Proficiency in MS Office

Job Summary:

Reporting to the Sales Director of the Distribution Team, the Sales Manager (Distribution) will be responsible for selling products or services through our distribution channel. The role will involve developing and executing sales strategies, working with the sales team, building relationships with distributors, analyzing market trends, and creating and managing sales budgets and forecasts.

Responsibilities:

• Develop and execute sales strategies for distribution channels to achieve revenue targets and market share goals.
• Work with the sales team to ensure they are equipped with the necessary skills and knowledge to effectively sell products or services through the distribution channel.
• Build and maintain relationships with distributors and key stakeholders in the distribution channel to ensure effective communication and collaboration.
• Analyze market trends and identify new opportunities for growth within the distribution channel.
• Create and manage sales budgets and forecasts to ensure that the distribution channel is profitable and operating within financial targets.
• Monitor and report on sales performance, with sales director, and market trends to the management.
• Collaborate with other departments such as operations, procurement finance, and marketing to ensure that the distribution strategy is aligned with overall business objectives.
• Stay up-to-date with industry developments and emerging trends in the distribution channel.

Requirements:

• Diploma/ Bachelor's degree in business, marketing, or a related field.
• Minimum of 3 years of experience in sales, with a proven track record of success in working in a sales environment, and achieving sales targets.
• Preferred Experience in the distribution channel, preferably in the marine communications industry, and in Asia markets such as Malaysia, Indonesia, etc.
• Excellent communication, interpersonal, and leadership skills.
• Strong analytical skills with the ability to analyze market trends and identify new opportunities for growth.
• Experience in managing budgets and forecasting sales targets.
• Ability to work collaboratively with other departments to achieve overall business objectives.
• Ability to adapt to changing market conditions and emerging trends in the distribution channel.

This is a full-time position with a competitive salary and benefits package. If you meet the above requirements and are interested in this exciting opportunity, please submit your resume and cover letter for consideration.

Role Overview

The Lead Services Specialist – FieldService Representative (FSR) provides on-site technical support,training, and customer service to the Republic of Singapore Air Force personnelon the operation, maintenance, and repair of F110-GE-129 engines andassociated systems on the F-15 aircraft. You will:

• Serve as the front-line GE representative at the customersite
• Provide technical guidance, troubleshooting, and training onF110 engines
• Support maintenance planning, reliability improvements, and datareporting
• Perform daily management related to safety, quality, delivery and costsrequired to perform services and support customer maintenance activities.
• Operate with a high degree of autonomy, managing your ownworkload, travel, and budget while upholding unyielding compliance andintegrity
• This role requires strong F110 technical depth, customer focus, and theability to work independently in an international environment.

Key Responsibilities

Technical Support &Troubleshooting

Provide interpretation of data and technicalinstructions related to F110 engine operation, maintenance, and repair.

Assist maintenance personnel with troubleshooting, adjustment,calibration, bench checks, routine maintenance, inspection, and repair ofGE engines.

Provide technical guidance to customer aircrew on theoperation of GE engines and associated systems.

Training & KnowledgeTransfer

• Deliver on-the-job training to maintenance personnel onmaintenance and operating techniques for F110 engines.
• Emphasize safety precautions and best practices during alltraining activities.
• Provide guidance in the use of authorized GE special tools andtest equipment.
• Identify training needs and recommend appropriate trainingprograms to enhance customer maintenance capability.
• Effectively transfer technical knowledge to less-experiencedpersonnel, both verbally and in writing.

Field Data, Reliability& Continuous Improvement

• Collate, analyze, and report in-service field data to GEAerospace Project Engineering for use in safety assessments, reliabilitytrending, and component improvement initiatives.
• Assist maintenance personnel in the processing of failure data anddefect reports, in accordance with standard customer reporting procedures.
• Provide analysis of maintenance difficulties and advise onchanges to maintenance, inspection, and training programs toimprove quality, efficiency, and effectiveness.
• Relay relevant field issues and improvement information fromGE and other international operators back to the customer.

Customer Interface &Maintenance Planning

• Provide guidance to customers on the installation of GE enginemodifications and interpretation of related technical instructions.
• Assist customer personnel with maintenance planning andforecasting for F110 engines.
• Provide liaison support for processing components for repair ordeeper maintenance, coordinating with GE and approved repair facilities.
• Maintain strong, professional relationships with customer personnel,acting with tact, diplomacy, and a high level of cooperation.

Autonomy, Compliance& Travel

• Work remotely from GE headquarters, taking responsibility foryour personal workload, travel, and budget.
• Operate with unyielding compliance and integrity, adhering to allGE policies, local regulations, and customer requirements.
• Travel to foreign and domestic locations as required tosupport the customer and GE field service needs.

The Ideal Candidate

The ideal candidate for this role is a proactive and detail-orientedprofessional with strong oral and written communication skills. They thrive ina collaborative environment and are committed to excellence and continuousimprovement.

Required Qualifications

•  Advanced experience in Services and Customer Service Management,with a knowledge level comparable to a Bachelor’s degree from anaccredited university or college,
• Or a high school diploma with significant relevantexperience.
• Significant field service or maintenanceexperience supporting military and/or commercial engine programs.
• In Depth F110 engine experience (F110-GE-129 preferred).
• Previous experience working as a F110 Field Service Representative orsimilar customer-facing technical roles in other countries.
• Strong customer interactionand communication skills, with the ability to present to all levels ofmaintenance, engineering, and management

Desired Characteristics.

• Strong interpersonal and leadership skills, with the ability tolead and influence GE customers and peers.
• Proven analytical skills and qualityimprovement ability.
• Demonstrated proficiency in repair, troubleshooting, shopoperations, and testing of F110 programs/hardware.
• Project management experience, including coordinating activitiesand driving actions to closure.
• Demonstrated ability to work independently, without technicalguidance, and to perform all required work tasks.
• Strong ability to transfer technical knowledge to others andclearly express complex technical concepts in both oral and written form.
• High degree of tact, diplomacy, and the ability to work andcooperate harmoniously with customer personnel.

JOB DESCRIPTION

• Deliver goods safely and on time to designated locations

• Load and unload cargo, ensure proper handling of items

• Plan delivery routes and follow schedules

• Perform basic vehicle checks and maintenance

• Ensure compliance with traffic laws and safety regulations

• Maintain delivery records and obtain customer acknowledgements

Requirements:

• Valid Class 3 / Class 4 driving licence (Singapore)

• Proven experience as a lorry/truck driver preferred

• Good driving record and knowledge of local roads

• Physically fit to handle loading/unloading duties

• Responsible, punctual, and safety-conscious

• Basic communication skills (English or Mandarin preferred)

• Loading and unloading of uniforms/linens trolley at factory & customer premises
• Ensure correct loading of goods onto delivery vehicles
• Ensure timely delivery of goods to customers
• Document handling such as D/O and Invoice
• Provide good customer service during delivery
• Adhere to assigned routes & follow time schedules
• Abide by all transportation laws & maintain safe driving records
• Handle vehicles, equipment & devices provided by company with care
• Any other ad hoc duties assigned by supervisor/manager

Requirements

• Class 4 driving License
• Good attitude & willing to learn
• Good communication skills
• Able to commit to 6 day work week schedule with rotational off days
• Have basic knowledge in maintenance of vehicle

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-ENGINEER-%28LOGISTICS-&-SUPPLY-CHAIN-OPTIMIZATION%29/32506-en_GB/

We regret that only shortlisted candidates will be notified.

The Role

Are you passionate about solving complex logistics and supply chain challenges through cutting-edge modeling, simulation, and data science?

The Logistics Institute – Asia Pacific (TLI-AP), a university-level research institute at the National University of Singapore is seeking a Research Engineer to join our dynamic team and contribute to innovation that drive operational excellence.

As a Research Engineer, you will:

• Design, build, and implement optimization models tailored to transportation and logistics contexts.
• Develop and refine custom heuristics and metaheuristics (e.g., Tabu Search, Genetic Algorithms) to solve large-scale, real-world problems.
• Utilize commercial and open-source solvers such as Gurobi, CPLEX, and Google OR-Tools.
• Deliver simulation-based data science solutions using tools like AnyLogic, AnyLogistix, FlexSim, Arena, and Demo 3D.
• Analyze historical and real-time data to uncover insights and support decision-making.
• Apply data-cleaning techniques and statistical analysis to understand complex datasets.
• Create compelling visualizations using MS Power BI and Tableau.

Requirements

• Bachelor or Master degree in Industrial Engineering, Operations Research, Computer Science, or a related field.
• Those with 1–2 years of experience in logistics and supply chain management is an advantage. Those without relevant work experience but who have the technical skills are welcome to apply.

• Proficiency in Python or similar programming languages and SQL.
• Experience with optimization tools (Gurobi, CPLEX, OR-Tools).
• Familiarity with simulation platforms (AnyLogic, FlexSim, Arena, AIMMS, Demo 3D).
• Skilled in data visualization tools (MS Power BI, Tableau).
• Strong command of MS Office Suite

Location: NUS Kent Ridge Campus, Singapore

Ready to make an impact? Apply now and be part of a team that’s shaping the future of logistics and supply chain innovation.

Interested applicants can submit their CV to the NUS Career Portal

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.

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.