Lead Scientist, Airport Operations & AI Systems

A*STAR Research Entities (A*STAR)

Singapore

On-site

SGD 120,000 - 180,000

Full time

2 days ago
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Job summary

A*STAR Research Entities seeks a Research Scientist to advance airport operations research, TAM, and CONOPS. You will analyse complex airport processes, develop data-driven models and design future operational concepts for enhanced efficiency and resilience.

The role involves building models, simulations, and decision-support prototypes in collaboration with industry partners. Successful candidates will translate insights into deployable tools and work with aviation stakeholders to ensure

Qualifications

  • PhD or equivalent with rich AI experience.
  • Strong programming and data analysis skills (C/C++, Java).
  • Experience in data analysis, cleaning and visualisation for real-world sensor data.
  • Experience in simulation, optimisation or decision-support systems.
  • Experience in process modelling and workflow analysis for large-scale systems.
  • Strong background in airport operations or transport systems is a plus.
  • Independent, high-quality researcher with ability to deliver deployable prototypes.
  • Excellent communication and collaboration with stakeholders.

Responsibilities

  • Analyse complex airport operational processes and develop data-driven models.
  • Design and validate future airport operational concepts (TAM/CONOPS).
  • Develop simulation tools and optimisation frameworks for airport-wide decision making.
  • Translate research into deployable decision-support prototypes with industry partners.

Skills

C/C++
Java
Data analysis
Simulation
Optimization
Operational research
AI research
Airport operations knowledge
Communication

Education

PhD degree in Operations Research/Industrial Engineering/Systems Engineering/Computer Science/Data Science/EE/ME

Job description

A*STAR Research Entities seeks a Research Scientist to advance airport operations research, TAM, and CONOPS. You will analyse complex airport processes, develop data-driven models and design future operational concepts for enhanced efficiency and resilience.

The role involves building models, simulations, and decision-support prototypes in collaboration with industry partners. Successful candidates will translate insights into deployable tools and work with aviation stakeholders to ensure

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