Postdoctoral Fellow

A Postdoctoral Fellow position is available in Dr. Peng Tao's research group in the Theoretical and Computational Chemistry program at Southern Methodist University. The successful candidate will be at the forefront of integrating advanced machine learning techniques with biomolecular simulation and modeling to address complex biological problems.

We commit to excellence in research and education, offering a dynamic and inclusive environment for scientific discovery. Our research interest covers theoretical and computational methods development and their applications regarding biomolecular simulations, protein allostery, and enzyme catalysis. Please see our website

Candidates should have a Ph.D. degree in Chemistry, Biophysics, Physics, Biology, Computer Science, or a related field, with a strong emphasis on machine learning and computational modeling. Candidates who will graduate soon or have graduated within the last 12 months are preferred. Those with demonstrated experience in biomolecular simulation techniques and proficiency in machine learning particularly in deep learning frameworks are highly desired.

Key responsibilities of the candidate include: (1) Develop and apply machine learning algorithms to enhance the accuracy and efficiency of biomolecular simulations. (2) Collaborate with an interdisciplinary team of scientists to design and implement computational models for predicting biomolecular dynamics and interactions. (3) Analyze large datasets derived from simulations and experimental results to uncover novel insights into biomolecular mechanisms. (4) Contribute to the development of new methodologies for integrating experimental data with computational models. (5) Publish research findings in high-impact peer-reviewed journals and present at conferences.

Interested candidates should send a cover letter highlighting their research interests and experience, a curriculum vitae (CV), and contact information of two to three references to Dr. Peng Tao via email ).