Post-Doctoral Research Associate: Department of Physics and Astronomy - UTK bei University of Tennessee, Knoxville
University of Tennessee, Knoxville · Knoxville, Vereinigte Staaten Von Amerika · Onsite
- Junior
- Optionales Büro in Knoxville
The Biophysics group at the University of Tennessee is seeking a highly motivated Postdoctoral Researcher with a background in physics, engineering, or chemistry who is interested in self-organization phenomena in living systems. This research opportunity focuses on the dynamic assembly of cell division machinery. Applicants with expertise in biophysics theory, computational modeling, AI/ML applications in science, and bacterial cell biology will be given strong consideration. A solid background with a strong publication record in biophysics theory, along with proficiency in coding, is required.
The successful candidate will join a growing interdisciplinary biophysics research group in the Department of Physics & Astronomy. The postdoctoral researcher will lead independent and collaborative projects on the self-organization and regulation of cell division networks, with a particular focus on modeling the dynamics of bacterial division machinery. This position provides opportunities to integrate theory, computation, and machine-learning–based simulations, while collaborating closely with researchers at the University of Tennessee and Oak Ridge National Laboratory.
Responsibilities
- Develop and apply theoretical and computational models of cell division.
- Perform large-scale molecular simulations, data analysis, and AI/ML-based model development.
- Collaborate with experimental groups to connect modeling results to biophysical measurements.
- Lead and contribute to publications in peer-reviewed journals and present results at conferences.
- Mentor undergraduate students in the group.
Qualifications
Required Qualifications
- Education: Ph.D. in Physics, Biophysics, Computational Chemistry, Engineering, or a closely related field (degree must be conferred by the start date).
- Experience: Demonstrated research experience in theoretical/computational modeling of biological or soft-matter systems.
- Knowledge, Skills, Abilities:
- Strong coding proficiency (e.g., Python, C++, or Fortran).
- Experience with molecular simulation packages (LAMMPS, GROMACS, or similar).
- Strong written and oral communication skills.
- Ability to work both independently and collaboratively in a multidisciplinary team.
Preferred Qualifications
- Education: Ph.D. with emphasis in Biophysics, Computational Biology, or Soft-Matter Physics.
- Experience:
- Research background in cytoskeletal networks, bacterial cell biology, or self-assembly.
- Experience with AI/ML methods for force-field development or data-driven modeling.
- Prior mentoring of junior researchers.
- Knowledge, Skills, Abilities:
- Familiarity with high-performance computing environments.
- Ability to bridge theory and experiment in interdisciplinary collaborations.
Work Location
- Knoxville, Tennessee (University of Tennessee, Department of Physics & Astronomy).
- Onsite position; limited hybrid flexibility may be considered.
Compensation and Benefits
- Find more information on the UT Market Range structure here
- Find more information on UT Benefits here
Application Instructions
For best consideration applicants should submit the below materials before Nov 1st, 2025:
- CV
- List of publications
- Contact information for three professional references
- A cover letter describing research background, interests, and fit for the position
About The Department
The Department has an exemplary research record, with eight professors earning NSF CAREER awards since 2012, eight professors among the world’s top two percent of physicists based on citation count, the award of the prestigious American Physical Society 2021 Bonner Prize, eleven APS Fellows, and four AAAS Fellows. The University of Tennessee, Knoxville is Tennessee’s flagship state research institution, a campus of choice for outstanding undergraduates and a premier graduate institution with a number of nationally and internationally ranked programs and with national and international leadership in numerous fields.
