Senior Machine Learning and Mathematical Optimization Researcher

19 hours ago

Singapore beBeeMathematicalOptimization Full time $80,000 - $120,000
Machine Learning and Mathematical Optimization Researcher

We are seeking a highly skilled researcher to join our team in developing machine learning and mathematical optimization solutions for electric vehicle fleet charging optimization.

The successful candidate will have a strong background in machine learning and mathematical optimization techniques, including reinforcement learning. They will work closely with our partner ITB to apply these solutions in a local context, using data available with ITB.

The role will focus on formulating and developing machine learning and mathematical optimization solutions for electric vehicle (EV) fleet charging scheduling problems with considerations of various smart power grids, battery degradation, and infrastructure level constraints.

  • Formulate and develop machine learning and mathematical optimization solutions for EV fleet charging scheduling problems
  • Conduct and coordinate research within NTU and collaborating partners in line with its research strategy
  • Publish research outcomes in journals of international standing

The ideal candidate will have a PhD in smart grids, energy management, or mathematical optimizations. Background in the application of machine learning and mathematical optimization techniques is essential. Proven publication track record in similar domains is required for the Research Fellow position.

The researcher will also be responsible for assisting ITB in the development of their digital twin platform by integrating the solutions developed in NTU into their platform.

Required Skills and Qualifications:

  • Masters in Computer Science, Electrical Engineering or related field (for Research Associate)
  • PhD in smart grids, energy management, or mathematical optimizations (for Research Fellow)
  • Background in the application of machine learning and mathematical optimization techniques, including reinforcement learning
  • Proven publication track record in similar domains for Research Fellow position

Benefits:

  • Opportunity to work on cutting-edge research projects
  • Collaboration with leading researchers in the field
  • Chance to publish research outcomes in top-tier journals

How to Apply:

To apply, please submit your application with your CV and a cover letter outlining your research experience and interests.

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