About the role
AI summarisedWe are seeking a highly motivated Scientist / Senior Scientist to lead and conduct research in modelling and optimisation for enterprise multi-resource planning problems at the Advanced Remanufacturing and Technology Centre (ARTC). This role involves applying advanced scientific research in operations research to translate innovations into impactful, deployable industry solutions across diverse sectors.
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 solutions for industrial applications.
- Formulate scientific research directions and develop innovative 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 the development of ARTC's R&D roadmap in enterprise optimisation.
Requirements
- PhD in AI, Computer Science, Operations Research, or related disciplines with emphasis on optimisation, machine learning, or data science.
- Strong background in modelling and optimisation for planning & scheduling problems.
- 3+ years' experience in R&D leadership and research project management in relevant areas.
- Proven expertise in programming and algorithm development (e.g., Python, C# .NET) for optimisation and machine learning.
- Strong track record of publications in top-tier journals and conferences.
- Deep understanding of production planning, scheduling, and inventory optimisation domains.
- Excellent technical writing, presentation, and communication skills.