Research Fellow in Data and Computational Science (Molecular Docking)

Position Overview

This position will undertake a study in Computer-Aided Drug Discovery / Design. The goal is utilizing Deep Learning to build strong and robust models for Molecular Docking. Although this position is under a one-year contract funded by a specific grant, strong performance may lead to contract extensions and promotion to support additional research duties.

How to Apply

Applications will be accepted until the position is filled. Please apply directly via the DKU official website: https://career15.sapsf.cn/career?company=dukekunsha. It is also highly suggested to email your CV (including links to your Google Scholar and GitHub pages – if available), a cover letter, and your most representative publication reflecting your relevant research interests to [email protected].

Reports to

Prof. Mustafa Misir, Associate Professor of Data and Computational Science

Essential Duties

• Performing the specified research tasks in using Deep Learning for Molecular Docking.
• Publishing at least one peer-reviewed article as the first author.
• Perform other duties as assigned.
• University employees' job responsibilities will continue to expand in scope and depth as the University grows in size and complexity in its programs.

Required Qualifications

• Background knowledge in Computational Chemistry, particularly Molecular Docking, and experience with existing docking and programming libraries.
• Practical knowledge in popular Machine Learning / Deep Learning libraries in Python such as TensorFlow and PyTorch.
• Effective communication and writing skills in English.

Education

Master’s or Ph.D. in Computational Chemistry, Computer Science, Artificial Intelligence, or another related discipline.

Years of Related Working Experience

Research experience after a Master’s degree is a plus but not required.