About the role
AI summarisedThe Smart Virtual Systems (SVS) Group seeks a highly motivated (Senior) Scientist to conduct cutting-edge research in modelling and optimisation for complex industry challenges, specifically focusing on enterprise multi-resource planning. This role drives innovation by bridging academic excellence with deployable industrial solutions for leading MNCs and local companies.
ResearchOnsite
Key Responsibilities
- Lead research integrating AI/ML, mathematical optimisation, and digital simulation to address operational challenges like production scheduling, operations planning, capacity planning, and process optimisation.
- Collaborate with research engineers to translate advanced research outcomes into deployable industrial solutions.
- Develop competitive research proposals and foster collaborations with industry and academic partners (MNCs, IHLs, other research institutes).
- Publish findings in leading academic journals and conferences to enhance A*STAR's R&D reputation.
- Mentor junior researchers and students on scientific methods and research professionalism.
Requirements
- PhD in Computer Science, Industrial Engineering, Operations Research, or a related field with a focus on optimisation, simulation, AI/ML, or data science.
- 3+ years of post-PhD research experience (for Senior Scientist level).
- Strong knowledge of production scheduling, operations/capacity planning, and inventory/sourcing analytics in manufacturing.
- Solid background in simulation (e.g., DES), mathematical optimisation (exact methods, meta-heuristics, surrogate-based algorithms), and AI/ML (reinforcement learning, genetic programming).
- Proficiency in Python for programming and algorithm development.
- Proven experience addressing real-world industry problems.
- Strong publication record in top-tier journals and conferences.
- Excellent verbal and written communication skills for technical and business audiences.