Job Description:
The CPPS group is seeking a highly motivated scientist or senior scientist to lead and conduct research in machine learning and AI-driven search and optimization algorithms for manufacturing applications. Cutting-edge algorithms will be deployed to support manufacturing decisions in (but not limited to),
- Multi-site/multi-enterprise inventory planning and control,
- Multi-resource production planning and scheduling,
- Value chain manufacturing decision support and decision-making
The key roles & responsibilities include, but are not limited to the following:
- Research into novel learning-centric optimization algorithms for efficient multi-resource planning and related value chain problems
- Working with a team of scientists and engineers to enhance the planning capabilities of existing or new enterprise decision-support systems
- Formulate scientific research directions and innovative proposals to secure competitive funding
- Understand the autonomous manufacturing domain and provide innovative solutions to industry problems in this area
- Familiarity with Industry 4.0 standards and concepts is an advantage
Job Requirement:
PhD degree in AI, Computer Science, Operations Research, or other relevant disciplines with emphasis on optimization, machine learning and data-science
Candidates with strong fundamentals in computing and AI are welcome. 5 years’ experience in research and leadership of R&D projects in the relevant area of expertise (for Senior Scientist).
- Programming/coding skills in developing optimization and machine learning algorithms
- Good track record of scientific publications in top journals or conferences
- Excellent technical presentation and writing skills
- Can-do attitude and able to work with different needs of various stakeholders
- Proactive team player and technically motivated to solve problems innovatively
