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Research Associate (Deep Reinforcement Learning in Retail Logistics Supply Chain Optimization)
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We are seeking a Research Associate to join a university-level research centre collaborating with industry. The position is for one year, renewable subject to satisfactory performance. Successful candidates will be involved in a project that is related to Deep Reinforcement Learning in Retail Logistics Supply Chain Optimization.

Key Responsibilities:
  • To independently undertake research in deep learning
  • To produce research reports and/or publications as required by the funding body or for dissemination to the wider academic community
  • To provide guidance and support to any students associated with the project
  • To attend, contribute, and where necessary lead relevant meetings
  • To undertake any other duties relevant to the programme of research


Job Requirements:
  • Master's degree in Computer Science, or a related discipline
  • Have a solid foundation in at least two of following areas: Computer Science, Machine Learning, Deep Learning, Data Management
  • Strong publication records in top-tier machine learning conferences/journals, such as NeurIPS, ICLR, ICML, AAAI, etc.
  • Knowledge of scientific or engineering software like PyTorch, TensorFlow, Keras, etc.
  • Demonstrate outstanding communication skills, clear logical thinking, and willingness to learn


We regret that only shortlisted candidates will be notified.

Hiring Institution: NTU
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JOB SUMMARY
Research Associate (Deep Reinforcement Learning in Retail Logistics Supply Chain Optimization)
Singapore
2 months ago
N/A
Full-time