Physics Simulation Python Jobs in Knoxville, TN (NOW HIRING)

The Biophysics Group at the University of Tennessee is seeking a highly motivated and dependable Postdoctoral Researcher with a background in physics, engineering, chemistry, or a related quantitative field who is interested in self-organization phenomena in living systems. The research will focus primarily on the dynamic assembly and regulation of bacterial cell-division machinery.
Applicants with expertise in theoretical biophysics, computational modeling, molecular simulation, scientific machine learning, or quantitative bacterial cell biology will receive strong consideration. Candidates should demonstrate a strong publication record appropriate to their career stage, substantial experience in scientific programming, and the ability to independently formulate, execute, document, and complete computational research projects.
The position requires strong scientific judgment, consistent research productivity, clear communication, and effective collaboration in an interdisciplinary environment.
The successful candidate will join a growing interdisciplinary biophysics research group in the Department of Physics & Astronomy. The postdoctoral researcher will take primary responsibility for computational and theoretical projects investigating the self-organization and regulation of bacterial cell-division networks, with particular emphasis on the dynamics of bacterial division machinery.
The researcher will be expected to work with a high degree of independence, establish reproducible computational workflows, maintain organized research records and code, communicate progress regularly, and carry projects from model development and simulation through analysis, interpretation, and publication.
The position provides opportunities to integrate statistical-physics theory, molecular and coarse-grained simulation, and machine-learning approaches while collaborating with experimental and computational researchers at the University of Tennessee and Oak Ridge National Laboratory.
Responsibilities

• Develop and apply theoretical and computational models of bacterial cell division and self-organization.
• Independently design, execute, troubleshoot, and analyze large-scale computational simulations.
• Develop reproducible and well-documented simulation, analysis, and scientific-software workflows.
• Apply AI/ML methods where scientifically appropriate to model development, parameter inference, or simulation analysis.
• Critically evaluate simulation results, identify technical or conceptual problems, and propose appropriate next steps.
• Maintain organized research records, code repositories, simulation data, and documentation sufficient for reproducibility and project continuity.
• Communicate research progress, challenges, and results clearly and regularly within the research group.
• Collaborate effectively with experimental groups to develop testable connections between modeling predictions and biophysical measurements.
• Take substantial responsibility for preparing manuscripts and moving projects toward timely peer-reviewed publication.
• Present research at conferences and scientific meetings.
• Mentor undergraduate researchers and contribute constructively to the intellectual environment of 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

• Anticipated hiring range: $55000 - $67000 annually, commensurate with experience.
• Find more information on UT Benefits here

Application Instructions
For best consideration applicants should submit the below materials before November 1, 2026:

• CV
• List of publications
• Contact information for three professional references
• A cover letter describing research background, interests, and match 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.
About Us
The University of Tennessee, Knoxville, has shaped leaders, changemakers, and innovative thinkers since its founding in 1794. The university is home to more than 38,000 students and 10,000 statewide employees-the Volunteers-who uphold the university's tradition of lighting the way for others through leadership and service.
UT Knoxville offers over 900 programs of study across 14 degree-granting colleges and schools. As Tennessee's flagship land-grant university, its footprint spans the entire state. The university holds the highest Carnegie classification for research activity and has deep partnerships with industry leaders and the US Department of Energy's largest multidisciplinary laboratory, Oak Ridge National Laboratory.
The Knoxville campus serves and recruits for UT Knoxville, including the Institute of Agriculture and the Space Institute, as well as the UT Institute of Public Service.
UT Knoxville considers its employees its number one asset. With values that focus on work-life balance, compensation, and innovation leadership, all Vols are supported to advance professionally. Employees have access to career development and coaching, continued education, and an extensive list of development and training possibilities. The Volunteer employee experience implements structures and practices to attract and retain top-tier talent, fostering a strong staff community and supporting a culture of involvement and engagement for everyone.
The university holds a strong commitment to its land-grant mission of learning and engagement, with a tradition of service and leadership that carries that Volunteer spirit throughout the state and around the world. It has been ranked nationally as "Best Employer for New Graduates," "One of America's Best Large Employers," and "Best Workplace for Women," and has been designated as "Best Place for Working Parents" by Forbes Magazine.
Apply today and join the Tennessee Volunteer community!