Postdoctoral Researcher
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.
Graduate Students
We are also recruiting graduate students to start in Fall semester 2023. The graduate students in the group have opportunities and flexibilities to pursue the Ph.D. degree in the TCC program focusing on wide range of research directions. The current research areas include computational studies of protein functional dynamics underlying its mechanism, novel theoretical models for enzyme evolution, machine learning modeling for biomolecules, and computational chemistry package developments. Motivated students are strongly encouraged to explore new research directions in related areas.
The successful candidates for graduate study should have a Bachelor of Science degree or Master of Science degree in Chemistry, Biophysics, Physics, Computer Science, Mathematics, or related fields. Research experience in simulations of biomacromolecules or machine learning in chemistry, knowledge of Python, R, C/C++ or other programming languages, will be an advantage.
Undergraduate Researcher
Know how to programming? Want to take the challenge from the computational world in chemistry and biology? Think about joining us!
Undergraduate students who are motivated in learning quantum chemistry, molecular modeling and simulation of biomolecules are welcome to apply. Those who have strong background in computer programming and want to contribute to the development of macromolecular modeling package are also strongly encouraged to apply.
Please email Prof. Tao (ptao@smu.edu) for additional information.