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Job ID: 234483

Research Fellow (Computer Science/Machine Learning/Deep Learning)
Nanyang Technological University

Date Posted Apr. 11, 2024
Title Research Fellow (Computer Science/Machine Learning/Deep Learning)
University Nanyang Technological University
Singapore, Singapore
Department S-Lab for Advanced Intelligence
Application Deadline Open until filled
Position Start Date Available Immediately
  • Research Scientist/Associate
  • Computer/Information Sciences

The S-Lab for Advanced Intelligence is seeking a Research Fellow 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 Combining End-Point and Exploration Safety via Higher Distributional RL Adaptation.


Key Responsibilities:

  • To independently undertake research in machine 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:

  • A PhD in Computer Science or relevant fields;

  • Strong background in machine learning, deep learning and computer vision. Prior experience in 3D vision is preferable.

  • Strong publication records in top-tier machine learning or computer vision conferences/journals, such as TPAMI, IJCV, CVPR, ICCV, ECCV, NeurIPS, ICML and ICLR.

  • Knowledge of scientific or engineering software like PyTorch, TensorFlow, Keras, etc.                                                               

  • Research experience in relevant areas would be desirable (preferably worked in R&D sector with industrial experience in the project-related field).

  • Ability to work with limited supervision and work collaboratively in a multidisciplinary team.


We regret that only shortlisted candidates will be notified.

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