Postdoctoral Research Associate
Employer
Southern Methodist University
Location
Dallas, Texas (US)
Salary
$58,000 - $61,000
Date posted
May 8, 2025
View more categories
now
Tao Research Group in the Theoretical and Computational Chemistry (TCC) program at Southern Methodist University (SMU) invites applications for a Postdoctoral Research Fellow in molecular stochastic modeling. This is an exciting opportunity to contribute to cutting-edge research focused on the development and application of stochastic differential equation (SDE) methods for modeling mechanically activated photochemistry (MAPC) and biomolecular processes. The successful candidate will play a key role in methodological development, with a particular focus on integrating machine learning techniques to manage high-dimensional data and improve modeling accuracy. Collaboration is a cornerstone of this position; the candidate will work closely with experimentalists in chemiluminescence and mechanochemistry, as well as with mathematicians specializing in stochastic differential equations and artificial intelligence.
Key Responsibilities:
Develop and implement advanced SDE methods for modeling molecular-level phenomena.
Design and apply machine learning frameworkssuch as diffusion models and flow matchingto enhance simulation accuracy and computational scalability.
Leverage large-scale simulation and experimental datasets to construct predictive models for MAPC and biomolecular mechanisms.
Collaborate within a multidisciplinary team to integrate experimental insights into robust theoretical and computational models.
Prepare high-impact scientific manuscripts and present research outcomes at leading international conferences.
Qualifications:
Ph.D. in mathematics, chemistry, biophysics, physics, or a related discipline, with a strong emphasis on stochastic modeling and machine learning.
Demonstrated proficiency in the development and application of stochastic differential equation frameworks for modeling complex stochastic processes.
Strong programming skills in Python, R, or similar languages, and experience with high-performance computing environments.
Proficiency in machine learning, with an emphasis on generative AI techniques such as diffusion models and flow matching are highly desired.
Excellent analytical, organizational, and communication skills, with a proven track record of publishing scientific research.
Application Process:
Interested candidates should submit a cover letter highlighting their research interests and experience, a detailed CV, and contact information for three references to Dr. Peng Tao through email (...).
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 Located in Dallas, TX, our institution is at the heart of a thriving scientific community, providing ample opportunities for collaboration and innovation.
Employer
Southern Methodist University
Location
Dallas, Texas (US)
Salary
$58,000 - $61,000
Date posted
May 8, 2025
View more categories
now
Tao Research Group in the Theoretical and Computational Chemistry (TCC) program at Southern Methodist University (SMU) invites applications for a Postdoctoral Research Fellow in molecular stochastic modeling. This is an exciting opportunity to contribute to cutting-edge research focused on the development and application of stochastic differential equation (SDE) methods for modeling mechanically activated photochemistry (MAPC) and biomolecular processes. The successful candidate will play a key role in methodological development, with a particular focus on integrating machine learning techniques to manage high-dimensional data and improve modeling accuracy. Collaboration is a cornerstone of this position; the candidate will work closely with experimentalists in chemiluminescence and mechanochemistry, as well as with mathematicians specializing in stochastic differential equations and artificial intelligence.
Key Responsibilities:
Develop and implement advanced SDE methods for modeling molecular-level phenomena.
Design and apply machine learning frameworkssuch as diffusion models and flow matchingto enhance simulation accuracy and computational scalability.
Leverage large-scale simulation and experimental datasets to construct predictive models for MAPC and biomolecular mechanisms.
Collaborate within a multidisciplinary team to integrate experimental insights into robust theoretical and computational models.
Prepare high-impact scientific manuscripts and present research outcomes at leading international conferences.
Qualifications:
Ph.D. in mathematics, chemistry, biophysics, physics, or a related discipline, with a strong emphasis on stochastic modeling and machine learning.
Demonstrated proficiency in the development and application of stochastic differential equation frameworks for modeling complex stochastic processes.
Strong programming skills in Python, R, or similar languages, and experience with high-performance computing environments.
Proficiency in machine learning, with an emphasis on generative AI techniques such as diffusion models and flow matching are highly desired.
Excellent analytical, organizational, and communication skills, with a proven track record of publishing scientific research.
Application Process:
Interested candidates should submit a cover letter highlighting their research interests and experience, a detailed CV, and contact information for three references to Dr. Peng Tao through email (...).
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 Located in Dallas, TX, our institution is at the heart of a thriving scientific community, providing ample opportunities for collaboration and innovation.
Job ID: 479715588
Originally Posted on: 6/4/2025
Want to find more Chemistry opportunities?
Check out the 17,664 verified Chemistry jobs on iHireChemists
Similar Jobs
Sign Up for Job Alerts
