Total 5 Senior Executive research associate job vacancies in Transportation / Logistics category in Singapore

Senior Associate, Supply Chain (6 Months Contract – Extendable)

Company: Healthcare
Location: Alexandra
Start Date: ASAP (Urgent cover – immediate start required)
Working Hours: Monday – Friday, Office Hours
Work Arrangement: Hybrid

Salary

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.

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.

Pay: Up to $3,700
Location: Labrador Park (nearest MRT)

Duration: 6 months
Work hours: Mon-Fri, office hour (Hybrid)

 Job Scope

• Liaise with 3PL on all logistic arrangement/ issue for incoming and outgoing shipments to ensure on time delivery. Issue sales orders and billings for Singapore consignment businesses

• Perform stock balance reconciliation for consignment stock to Singapore distributor/ Ecommerce enabler. Coordinate and perform inventory-related transactions in ERP system.

• Process and follow up customer PO in APAC regions, including billing invoice, credit note and verify customer PO pricing, and highlight any discrepancy to sales.

• Maintain shipping records, including providing tracking or shipping history information to customer on request.

• Ensure all shipping documentation and authorities approvals are in order prior to shipment of products.

• Generate reports for internal management team and external customers, ie: inventory reports, accurate weekly sales reports, etc.

• Any other duties assigned by Management from time to time

Requirement

• Minimum Diploma in Supply Chain, Business, Logistics, Operations Management

• Minimum 1-3 yrs of experience supply chain, inventory planning, distribution & operation management

• Understand and familiar with export documentation and letter of credit payment

• Have knowledge of ERP system, must be good with Pivot Table & VLOOKUP

If interested, please email me at pharmascience@recruitexpress.com.sg or telegram @alexgohhl

Alex Goh Hock Leong

(CEI.No: R1763413 l Recruit Express Pte Ltd (Healthcare & Life Science) | 99C4599).

• Liaise with 3PL on all logistic arrangement/ issue for incoming and outgoing shipments to ensure on time delivery. Issue sales orders and billings for Singapore consignment businesses
• Perform monthly stock balance reconciliation for consignment stock to Singapore distributor/ Ecommerce enabler. To monitor, coordinate and perform inventory-related transactions in ERP system.
• Process and follow up customer PO in APAC regions, including billing invoice, credit note and verify customer PO pricing, and highlight any discrepancy to sales. Follow up with finance of payment completion.
• Maintain shipping records, including providing tracking or shipping history information to customer on request.
• Ensure all shipping documentation and authorities approvals are in order prior the shipment of products.
• Generate reports for internal management team and external customers, ie: inventory reports,accurate weekly sales reports, etc.
• Any other duties assigned by Management from time to time

Requirement

• Diploma or Degree in Supply Chain/Business/Logistics/Operations Management
• Min 1-3 yrs of experience supply chain, inventory planning, distribution & operation management

Medical Device MNC

Interested candidates, please forward your resume to kevynhuang@recruitexpress.com.sg

Consultant: Huang Jingsheng Kevyn (R1333338)

Recruit Express Pte Ltd (99C4599)