About the role
Senior Scientist leading research in optimisation and modelling for multi‑resource planning in advanced manufacturing, translating algorithms into industrial solutions and mentoring junior researchers.
ResearchOnsite
Key Responsibilities
- Lead research into innovative optimisation algorithms for multi‑resource planning, including production scheduling, inventory management, and capacity planning.
- Collaborate with engineers to translate research outcomes into deployable industrial solutions.
- Formulate scientific research directions and develop proposals aligned with industry needs.
- Drive competitive research funding proposals and collaborations with industry and academic partners.
- Publish high‑quality research in top international journals and conferences.
- Mentor junior researchers and contribute to ARTC's R&D roadmap in enterprise optimisation.
Requirements
- PhD in Artificial Intelligence, Computer Science, Operations Research, or related discipline with emphasis on optimisation, machine learning, or data science.
- Minimum 3 years of R&D leadership and research project management experience in relevant areas.
- Proven expertise in programming and algorithm development using Python and C# .NET for optimisation and machine learning.
- Strong background in modelling and optimisation for planning and scheduling problems.
- Track record of publications in top‑tier journals and conferences.
- Deep understanding of production planning, scheduling, and inventory optimisation domains.