Nanyang Technological University
Research Associate (Deep Reinforcement Learning in Retail Logistics Supply Chain Optimization)
Job Description
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:
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To independently undertake research in deep learning
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To produce research reports and/or publications as required by the funding body or for dissemination to the wider academic community
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To provide guidance and support to any students associated with the project
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To attend, contribute, and where necessary lead relevant meetings
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To undertake any other duties relevant to the programme of research
Job Requirements:
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Master’s degree in Computer Science, or a related discipline
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Have a solid foundation in at least two of following areas: Computer Science, Machine Learning, Deep Learning, Data Management
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Strong publication records in top-tier machine learning conferences/journals, such as NeurIPS, ICLR, ICML, AAAI, etc.
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Knowledge of scientific or engineering software like PyTorch, TensorFlow, Keras, etc.
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Demonstrate outstanding communication skills, clear logical thinking, and willingness to learn
We regret that only shortlisted candidates will be notified.
Hiring Institution: NTU
