Postdoctoral Associate

Virginia Tech • Blacksburg, VA

1d • Onsite

About The Position

Prof. Debswapna Bhattacharya’s research group in the Department of Computer Science at Virginia Tech seeks to recruit multiple postdoctoral associates in Artificial Intelligence (AI) in Biomolecular Modeling. The postdoctoral associate will focus on developing and applying AI methodologies to drive advances in drug discovery and biomolecular design. The successful candidates will contribute significantly to the group’s mission in leveraging AI for scientific discovery. The successful candidates will conduct 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). They 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

• Ph.D. degree in Computer Science, Electrical and Computer Engineering, Computational Biology, Bioinformatics, Statistics, Mathematics, Biophysics, Physics, Chemistry, Biology or related fields.
• PhD must be awarded no more than four years prior to the effective date of appointment with a minimum of one year eligibility remaining.
• Substantial programming experience.
• 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.
• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: Ph.D. or professional degree
• Number of Employees: 1,001-5,000 employees