The School of Computer Science and Engineering (SCSE) invites applications for the position of Research Fellow.
Key Responsibilities:
Develop machine learning and AI methods for drug discovery
Engage biological scientists to capture requirements, formulate research problems, and present findings
Test and evaluate the algorithms, identify their weaknesses and improve them
Guide junior researchers in the team
Prepare reports and scientific papers
Job Requirements:
PhD in Computer Science, Bioinformatics, Chemical Engineering, Biomedical Engineering, or related disciplines
Experience and excellent background in machine learning, AI and pattern recognition
Proficient with programming languages (e.g., Python, Matlab) and ability to build prototype systems at a pace
Familiar with classical machine learning algorithms and deep learning methods
Hands-on experience with Tensor Flow, Keras, MXnet, Caffe, Torch, or other deep learning framework
Excellent ability to communicate clearly, with the ability to work with a team of researchers and industry
Track records in publishing in top-ranked journals/conferences
Knowledge on chemistry and biology is preferable
We regret that only shortlisted candidates will be notified.
Hiring Institution: NTU
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