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Computer Science Postdoc Jobs in Tennessee (NOW HIRING)

Postdoctoral Fellow

Nashville, TN · On-site

$47K - $64K/yr

The Postdoctoral Fellow will support an NIH R16-funded research project. The position focuses on ... D. in either computer science, bioinformatics, quantitative science, computational biology, or ...

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Computer Science Postdoc information

See Tennessee salary details

$22.7K

$53.6K

$75.8K

How much do computer science postdoc jobs pay per year?

As of Aug 21, 2026, the average yearly pay for computer science postdoc in Tennessee is $53,569.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,500.00 and $60,400.00 per year, depending on experience, location, and employer.

What is a computer science postdoc?

A Computer Science Postdoc is a temporary research position for individuals who have recently earned a Ph.D. in computer science or a related field. Postdocs work under the supervision of a principal investigator to conduct advanced research, publish papers, and contribute to projects in academia, industry, or government labs. These positions help researchers gain additional expertise, expand their professional network, and prepare for careers in academia, research institutions, or industry. Typically, postdoc positions last between one and three years and may involve teaching responsibilities.

What does a computer science postdoc do?

As a Computer Science Postdoc, your daily work typically centers around conducting original research, designing experiments, and analyzing data related to your specialized field. You may meet regularly with your principal investigator (PI) and other lab members to discuss progress, troubleshoot problems, and plan new studies. Preparing manuscripts, presenting findings at conferences, and mentoring graduate or undergraduate students are also common responsibilities. Collaboration is often key, as projects may involve working with faculty, industry partners, or interdisciplinary teams, providing opportunities to broaden your research impact and professional network.

What are the key skills and qualifications needed to thrive as a computer science postdoc?

To thrive as a Computer Science Postdoc, you need a Ph.D. in computer science or a related field, strong research skills, and a solid publication record. Experience with programming languages (such as Python, C++, or Java), machine learning frameworks, data analysis tools, and version control systems is highly valued. Exceptional communication, project management, and collaboration abilities help you effectively engage with multidisciplinary teams and present complex findings. These skills ensure successful research contributions, smooth teamwork, and impactful advancement in the academic or industrial research landscape.

What are the most commonly searched types of Computer Science Postdoc jobs in Tennessee?

The most popular types of Computer Science Postdoc jobs in Tennessee are:

What are popular job titles related to Computer Science Postdoc jobs in Tennessee?

For Computer Science Postdoc jobs in Tennessee, the most frequently searched job titles are:

Infographic showing various Computer Science Postdoc job openings in Tennessee as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 10% Part Time, 2% Contract, and 1% Nights. Highlights an 76% Physical, 2% Hybrid, and 22% Remote job distribution, with an average salary of $53,569 per year, or $25.8 per hour.

Post-Doctoral Research Associate: Department of Electrical Engineering and Computer Science - UTK

The University of Tennessee

Knoxville, TN

$75K/yr

Full-time

Re-posted 4 days ago


Job description

The University of Tennessee, Knoxville (UTK) is seeking a Postdoctoral Research Associate in the Min H. Kao Department of Electrical Engineering and Computer Science (EECS) to conduct research in computer vision and machine learning in support of existing and future funded research.

The postdoctoral researcher will work as part of a multi-institutional research team, developing, training, and evaluating computer vision and deep learning models for advanced computer vision tasks. This is a unique opportunity to contribute novel research while building a research portfolio in fast-growing areas of computer vision and building collaborations.

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! 

Required Qualifications

  • Education: Ph.D. in Computer Science or Computer Engineering

  • Experience: 

    • Demonstrated research experience in computer vision and/or machine learning, including hands-on development of deep learning models using modern frameworks.

    • Track-record of publishing at top computer vision (CVPR/ICCV/ECCV) and machine learning (ICML/ICLR/NeurIPS) conferences.

  • Knowledge, Skills, Abilities: 

    • Strong programming skills in Python.

    • Solid understanding of deep learning architectures (e.g., CNNs, transformers) applied to visual recognition and video understanding tasks.

    • Ability to work both independently and collaboratively within a multidisciplinary, multi-institutional research team.

    • Strong written and verbal communication skills, including the ability to document and present technical work.

Work Location 

  • Location: Knoxville, TN

  • Onsite

Compensation and Benefits

  • Anticipated hiring range: $75,024

  • Find more information on UT Benefits here

Application Instructions

To express interest, please submit an application with the noted below attachments:

  • Resume

  • Cover Letter

About The Department

EECS at UTK has 49 full-time T/TT faculty members, three members of the National Academy of Engineering, 15 IEEE Fellows, 13 NSF/DOE CAREER awardees, and 15 ranked in World's Top 2% Scientists as compiled by Stanford. The department has a growing enrollment of more than 1000 undergraduate and 450 graduate students across the three majors of Electrical Engineering, Computer Engineering, and Computer Science. In addition, the department offers undergraduate minors in computer science, cybersecurity, datacenter technology and management, and machine learning. 

  • Design, implement, and evaluate computer vision and deep learning algorithms for object detection, identification, tracking, and re-identification across non-collaborative, multi-camera video sources.

  • Curate, preprocess, and manage large-scale video and image datasets used for model training and evaluation.

  • Document methods and results; contribute to technical reports, program deliverables, and briefings for sponsors.

  • Publish and present research findings in at leading computer vision/machine learning conferences.

  • Contribute to the preparation of proposals, papers, and reports as needed.

  • Mentor graduate students and interns as appropriate.