Postdoctoral position in machine learning for biomolecular simulation and modeling, Dallas, TX, USA

We are seeking a highly motivated and talented Postdoctoral Research Fellow to join the Tao 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. 

This position offers a unique opportunity to contribute to cutting-edge research in a vibrant scientific environment.

Key Responsibilities:

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.

Qualifications:

1. Ph.D. in Chemistry, Biophysics, Physics, Biology, Computer Science, or a related field, with a strong emphasis on machine learning and computational modeling.

2. Demonstrated experience in biomolecular simulation techniques such as molecular dynamics, Monte Carlo simulations, or related methods.

3. Proficiency in machine learning, particularly in deep learning frameworks such as TensorFlow or PyTorch.

4. Strong programming skills in Python, R, or similar languages, and experience with high-performance computing environments.

5. Excellent analytical, organizational, and communication skills, with a proven track record of publishing scientific research.

About Us:

Tao Research Group is committed 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 http://faculty.smu.edu/ptao.

Located in Dallas, TX, our institution is at the heart of a thriving scientific community, providing ample opportunities for collaboration and innovation.

Dallas, TX, known for its vibrant mix of cultural diversity and economic growth, offers an exceptional living environment. It is famous for the combination of its affordable cost of living and high quality of life without the financial pressures found in many metropolitan areas. As a key aviation hub, Dallas offers seamless connectivity to a wide array of domestic and international destinations. 

Additionally, being a major host city for 2026 FIFA World Cup is just the icing on the cake.

Interested candidates should submit a cover letter highlighting their research interests and experience, a CV, and contact information for 

three references to Dr. Peng Tao through email (ptao*_*smu.edu).

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