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Scientist/ Senior Scientist - Planning, Scheduling & Optimization

CygnifyTalent Acquisition company
Singapore, SingaporeSenior
Data & AI

About the role

TL;DR

Lead research in advanced planning, scheduling, modeling, and optimization for manufacturing systems.

  • Our client is seeking a highly motivated Scientist or Senior Scientist to lead and conduct research in advanced planning, scheduling, modelling, and optimization for complex manufacturing systems.
  • The successful candidate will work closely with our client's industry partners to translate research into deployable solutions and is expected to be independent and initiative-driven.
  • Key Responsibilities Conduct research into innovative optimization approaches for complex planning and scheduling problems.
  • Develop mathematical models and optimization approaches for complex, large-scale scheduling problems.
  • Collaborate with a team of engineers to translate research outcomes into practical, deployable solutions.
  • Engage directly with industry partners to understand real-world challenges.
  • Formulate scientific research directions and innovative proposals.
  • Requirements PhD in AI, Computer Science, Operations Research, or a related discipline. 5+ years of post-PhD research experience, including demonstrated leadership of R&D projects.
  • Proven track record of applying optimization algorithms to real-world planning and scheduling problems.
  • Strong programming/coding skills in developing optimization algorithms.
  • Strong record of scientific publications in top-tier journals or conferences.
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Required skills

Python

Tech stack

Python

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