Senior Scientist, SVS/DMD, ARTC

A*STAR RESEARCH ENTITIES; Singapore; On-site; SGD 120,000 - 190,000; Full time

Job summary

ARTC, part of A*STAR, is seeking a Scientist/Senior Scientist to lead research in modelling, optimisation, and AI for enterprise multi-resource planning. You will drive advances in operations research and translate innovations into solutions for multinational clients and local firms.

You will design and benchmark novel algorithms, mentor researchers, and publish results in top journals, while engaging with industry partners to shape ARTC's R&D roadmap.

Qualifications

• PhD in AI/CS/OR with focus on simulation, optimisation, ML or data science.
• 5+ years of post-PhD research experience.
• Strong background in production scheduling, operations planning, capacity planning, or sourcing/inventory analytics.
• Proven programming and algorithm development in Python; C# .NET advantageous.
• Publications in top-tier journals/conferences; strong communication skills.

Responsibilities

• Lead research in rapid simulations, optimisation algorithms, and AI-enhanced workflows for enterprise multi-resource planning.
• Design practical algorithms for industry problems and benchmark against state-of-the-art methods.
• Translate research outcomes into deployable industrial solutions with research engineers.
• Develop innovative research directions and project proposals aligned with industry needs.
• Drive funding proposals and collaborations with industry and academia.

Skills

Python

Machine learning

Operations research

Discrete-event simulation

Leadership

Research project management

Data science libraries

Education

PhD in AI/CS/OR

Tools

Python

C# .NET

Job description

The Advanced Remanufacturing and Technology Centre (ARTC) is seeking a highly motivated Scientist / Senior Scientist to lead and conduct research in modelling, optimisation, and AI to solve complex industry challenges in the domain of enterprise multi-resource planning. This role is expected to drive scientific advances in operations research with the goal of translating innovations into impactful industry solutions for some of the largest MNCs and local companies. The role is a unique intersection of research, deployment-focused algorithm design, and business relevance.

Key Responsibilities

• Lead research in rapid simulations, optimisation algorithms, and AI-enhanced workflows for enterprise multi-resource planning, primarily for the topics of production scheduling, operation planning, capacity planning, and sourcing and inventory analytics.
• Design practical algorithms to solve industry-inspired operational problems, performing solution benchmarking and discover novel market leading algorithms.
• Work with research engineers to translate research outcomes into deployable solutions for industrial applications.
• Formulate cutting edge scientific research directions and develop innovative research / project proposals aligned with industry needs.
• Drive competitive research funding proposals and collaborations with industry and academic partners (IHLs, other research institutes etc.).
• Contribute to the development of ARTC?s R&D roadmap in enterprise optimisation.
• Publish at leading international academic or industrial journals and conferences to contribute A*STAR's reputation as a leading R&D organisation.
• Mentor junior researchers in scientific methods and research professionalism.

Requirements

• PhD in AI, Computer Science, Operations Research, or related disciplines with a clear emphasis on simulation, optimisation, machine learning, or data science.
• Deep understanding of production scheduling, operations planning, capacity planning, or sourcing & inventory analytics in the context of manufacturing.
• Strong background in modelling (e.g. discrete-event simulations), numerical optimisation (exact methods, meta-heuristics, surrogate-model-assisted methods) and AI as applied to solving various operations research problems. Experience with industry problems under real-world conditions is particularly sought after.
• 5+ years of experience in post-PhD research.
• Demonstrated leadership or project management in relevant areas. Experience in managing project delivery teams would be highly advantageous.
• Proven expertise in programming and algorithm development in Python (with all the associated data science and optimisation libraries). C# .NET, software engineering, and productisation experience would be advantageous.
• A track record of publications in top-tier journals and conferences.
• Excellent verbal and written communication skills, adaptable to various technical and non-technical contexts: research conferences, business presentations, and software development teams.
• Positive, proactive attitude, with the ability to influence and collaborate effectively across multiple stakeholders.

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.