Postdoctoral Research Associate

The University of Texas at Arlington Portal • Arlington, TX

1d • Onsite

About The Position

The research group of Dr. Kwangho Nam in the Department of Chemistry and Biochemistry, College of Science, at the University of Texas at Arlington invites applications for a Postdoctoral Research Associate position focused on QM/MM and Machine Learning Development, with Applications to Enzyme Mechanism Research. This position is expected to start immediately. Dr. Nam’s research, supported by NIH and Welch Foundation, focuses on the development of hybrid QM/MM methodologies, machine learning approaches, and advanced free energy simulation methods. These methods are applied to investigate enzyme catalysis, conformational dynamics, allosteric regulation, and drug discovery. The group utilizes state-of-the-art computational tools, including CHARMM, AMBER, OpenMM, and a range of quantum chemistry programs.

Requirements

• Ph.D. in chemistry, physics, or a closely related field.
• Demonstrate creativity, independence, and strong motivation.
• Solid background in computational and theoretical chemistry.
• Experience with molecular dynamics simulations, statistical mechanics, and electronic structure theory.
• Proficiency in scientific programming.
• Experience in Python, Fortran, and parallel computing frameworks (e.g., MPI and OpenMP) and/or GPU-accelerated computing.

Responsibilities

• Conduct research focused on the development and application of advanced QM/MM and machine learning methodologies to investigate enzymatic reaction mechanisms.
• Performing computational simulations, analyzing results and effectively communicating findings through written reports and oral presentations.
• Work under the supervision of Prof. Nam while contributing independently to ongoing research projects.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: Ph.D. or professional degree
• Number of Employees: 1-10 employees