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Research Fellow (Multi-agent control optimization learning)
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The Continental-NTU Corporate Lab invites applications for the position of Research Fellow.

Continental-NTU Corporate Lab is a S$50 million joint corporate laboratory between NTU and Continental that focuses on developing technologically advanced solutions in the areas such as autonomous robotics, navigation, artificial intelligence (AI), cybersecurity, smart materials, sensing, communication, and cloud technologies for future urban mobility applications. We aim to accelerate innovation in Singapore's automotive industry and translate research outcomes into practical and viable urban mobility solutions for the future.

Key Responsibilities:
  • Develop multi-agent control optimization or learning methods for multi-robot coordination and fleet management.
  • Conduct simulation assessment and demo of the developed methods.
  • Write the research results into publication manuscripts, patents, and/or project reports.

Job Requirements:
  • PhD in Optimization and game theory, or Control, or AI, or Robotics.
  • Have at least 1 first-author publication in top-tier journals in related areas.
  • Good interpersonal skills.
  • Good communication and writing in English.
  • Good teamwork awareness.

We regret that only shortlisted candidates will be notified.

Hiring Institution: NTU
Related tags
Research Fellow (Multi-agent control optimization learning)
a month ago
No experience / No degree