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 with a one-year contract under a particular grant, the performance of the hired researcher can lead to contract extensions and promotion for supporting other relevant research duties.

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

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 about Molecular Docking, and experience in the existing docking, programming libraries.
• Practical knowledge in the well-known Machine Learning / Deep Learning libraries of Python such as TensorFlow and Pytorch.
• Effective communication and writing skills in English.

Education

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

Years of Related Working Experience

• Research experience after Master is a plus but not required.