Senior Scientist, Svs/dmd, Artc
2 days ago
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.
- 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.
- 3+ 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.
**Type of Employment**: Full-Time
**Minimum Experience**: 3 Years
**Work Location**: 3 Cleantech Loop
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