Postdoctoral Positions in AI for Molecular Science and Computational Biology
The Department of Biochemistry & Molecular Biology (BCMB) at the University of Georgia (UGA) invites applications for postdoctoral research associates in computational biology and AI-driven molecular science.
Research Areas
Successful candidates will work at the interface of AI, computation, biology, and chemistry, with opportunities spanning:
• AI for drug design
• Protein design and protein engineering
• Computational mutational analysis and viral variant prediction
• Carbohydrates and glycobiology (modeling, structure, and function)
• AI for materials sciences
• Single-cell data analysis
• Bioinformatics and genomics
• Integrative modeling combining sequence, structure, and experimental data
Projects emphasize both methodological development and chemically/biologically relevant applications, with access to high-performance computing resources and strong interdisciplinary collaborations.
Qualifications
Ph.D. in computational biology, bioinformatics, chemistry, computer science, applied mathematics, or a closely related field. Strong background in one or more of: machine learning, molecular modeling, protein structure, or biological data analysis; Ability to work independently and collaboratively in a multidisciplinary environment; Experience with Python, C/C++, or related scientific programming languages preferred.
Environment
UGA’s BCMB department offers a collaborative and vibrant research environment, with close interactions across biology, chemistry, mathematics, and data science. The city of Athens provides a high quality of life and is consistently ranked as one of the best college towns in the U.S.
How To Apply
Interested applicants should submit:
• A CV
• A brief statement of research interests
• Contact information for 2–3 references
Send applications or inquiries to: Dr. Guowei Wei (Guowei.Wei@uga.edu).
Review of applications will begin immediately and continue until positions are filled.
Higher Education
Research, Analyst, and Information Technology
Full-time