Research Associate
About The Position
Prof. Debswapna Bhattacharya’s research group in the Department of Computer Science at Virginia Tech seeks to recruit a Research Associate in the area of Artificial Intelligence (AI) in Biomolecular Modeling. The Research Associate will focus on developing and applying AI methodologies to drive advances in drug discovery and biomolecular design. This associate will contribute and help to lead the group’s mission in leveraging AI for scientific discovery. The Research Associate will conduct groundbreaking research that transforms current AI for Science paradigms. They will focus on multidisciplinary applications in biomolecular modeling and design, leading to a step-change in Scientific Machine Learning (SciML). The Research Associate will be expected to collaborate with members of the group as well as other stakeholders and to perform modest service duties around missions of the group, such as training and engagement.
Requirements
- Advanced degree in Computer Science, Electrical and Computer Engineering, Computational Biology, Bioinformatics, Statistics, Mathematics, Biophysics, Physics, Chemistry, Biology or related fields.
- Substantial programming experience.
- Experience with research projects in the fields of AI and/or Machine Learning.
- Excellent communication skills.
Nice To Haves
- Demonstrated record of excellence in advancing artificial intelligence, characterized by a strong publication history in top-tier venues and a research background outlining significant contributions to AI that demonstrate high potential for research impact.
- Published research experience in AI for scientific discovery and/or AI-driven biomolecular modeling and/or scientific machine learning.
Responsibilities
- Developing and applying AI methodologies to drive advances in drug discovery and biomolecular design.
- Contributing to and helping to lead the group’s mission in leveraging AI for scientific discovery.
- Conducting groundbreaking research that transforms current AI for Science paradigms.
- Focusing on multidisciplinary applications in biomolecular modeling and design, leading to a step-change in Scientific Machine Learning (SciML).
- Collaborating with members of the group as well as other stakeholders.
- Performing modest service duties around missions of the group, such as training and engagement.
Benefits
- Professional development opportunities
- University shared governance participation
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What This Job Offers
Job Type
Full-time
Career Level
Senior
