Role: (Senior) Scientist
Location: Singapore (onsite)
We are currently partnering with a prestigious government-linked research institution that is seeking a highly motivated and experienced (Senior) Scientist to join its applied R&D team focused on industrial innovation and advanced manufacturing technologies.
Role
The successful candidate will work on cutting-edge research in enterprise multi-resource planning and optimization contributing directly to the development of impactful real-world solutions for industry transformation.
Responsibilities
- Research into innovative optimization algorithms to efficiently solve multi-resource planning problems including production scheduling inventory management and production capacity planning
- Work with a team of engineers to translate research outcomes to practical solutions for various industry sectors
- Formulate scientific research directions and innovative proposals aligned to industry needs to secure competitive funding
Requirements
- PhD degree in AI Computer Science Operations Research or other relevant disciplines with emphasis on optimization machine learning and data-science
- Candidate with experience in modelling and optimization are welcome to apply
- 3 years experience in research and leadership of R&D projects in the relevant area of expertise
- Programming/coding skills in developing optimization and machine learning algorithms
- Good track record of scientific publications in top journals or conferences
- Good understanding of the production planning &scheduling domain
- Excellent technical presentation and writing skills
- Proven track record in applying optimization algorithms to multi-resource planning problems is a plus