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Postdoctoral In Reinforcement Learning Jobs in Tennessee

Lyft

Senior Manager, Support Excellence

Nashville, TN · On-site

Ensure quality measurement feeds reinforcement learning and continuous AI improvement - building the feedback loops that make Lyft's support operation smarter over time. * Establish confidence in the ...

Meharry Medical College

Postdoctoral Fellow

Nashville, TN · On-site

$47K - $64K/yr

Solid computing background or data experience, e.g., high-performance computing and machine learning. * Proficiency in Python, R, or related programming languages for data analysis and scientific ...

OPmobility

SITE MAINTENANCE INTERN

Chattanooga, TN · On-site

$13.75 - $18.25/hr

What we can offer: • Flexible work hours to accommodate school schedule. • On the job learning reinforcement of what you see in the classroom. • Full exposure of the career. • Mentoring and ...

OP Mobility

SITE MAINTENANCE INTERN

Chattanooga, TN · On-site

$13.75 - $18.25/hr

What we can offer: • Flexible work hours to accommodate school schedule. • On the job learning reinforcement of what you see in the classroom. • Full exposure of the career. • Mentoring and ...

OPmobility

SITE MAINTENANCE INTERN

Chattanooga, TN

$13.75 - $18.25/hr

On the job learning reinforcement of what you see in the classroom. Full exposure of the career. Mentoring and guidance. Valuable skill set such as time management, communication, working with others ...

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Postdoctoral In Reinforcement Learning information

What is the difference between Postdoctoral In Reinforcement Learning vs Postdoctoral In Machine Learning?

AspectPostdoctoral In Reinforcement LearningPostdoctoral In Machine Learning
Required CredentialsPhD in Computer Science, AI, or related field; strong programming skills; research experience in reinforcement learningPhD in Computer Science, AI, or related field; strong programming skills; research experience in machine learning
Work EnvironmentAcademic labs, research institutions, industry R&D teams focused on reinforcement learning applicationsAcademic labs, research institutions, industry R&D teams working on various machine learning techniques
Industry UsagePrimarily in AI research, robotics, gaming, and autonomous systemsBroader applications including data analysis, predictive modeling, and AI research

Postdoctoral In Reinforcement Learning specializes in research related to decision-making algorithms and autonomous systems, whereas Postdoctoral In Machine Learning covers a wider range of AI techniques. Both roles require similar credentials but differ in focus and application areas.

What are the key skills and qualifications needed to thrive as a Postdoctoral Researcher in Reinforcement Learning, and why are they important?

To thrive as a Postdoctoral Researcher in Reinforcement Learning, you need a PhD in computer science or a related field, with deep expertise in machine learning, statistics, and algorithm development. Proficiency in programming languages such as Python, experience with deep learning frameworks (e.g., TensorFlow or PyTorch), and familiarity with reinforcement learning libraries are typically required. Strong analytical thinking, problem-solving ability, collaboration, and scientific communication skills help you excel in research teams and publish impactful work. These competencies are vital to advancing state-of-the-art research, developing novel algorithms, and contributing to the academic and industrial progress in AI.

What are some common challenges faced by postdoctoral researchers in reinforcement learning, and how can they be addressed?

Postdoctoral researchers in reinforcement learning often face challenges such as balancing independent research projects with collaborative work, staying up-to-date with rapidly evolving literature, and managing the pressure to publish in top conferences. Effective time management, regular engagement with the research community through seminars and workshops, and seeking mentorship from senior colleagues can help address these challenges. Additionally, collaborating with interdisciplinary teams can offer fresh perspectives and support, making it easier to navigate complex research problems.

What is a Postdoctoral Researcher in Reinforcement Learning?

A Postdoctoral Researcher in Reinforcement Learning is an individual who has completed a PhD and conducts advanced research in the field of reinforcement learning, a branch of artificial intelligence focused on how agents take actions in environments to maximize rewards. These researchers often work in academic, industrial, or governmental research settings, collaborating on projects that advance the theoretical foundations or practical applications of reinforcement learning. Their responsibilities may include designing experiments, developing algorithms, publishing papers, and mentoring graduate students.
What are popular job titles related to Postdoctoral In Reinforcement Learning jobs in Tennessee? For Postdoctoral In Reinforcement Learning jobs in Tennessee, the most frequently searched job titles are:
What job categories do people searching Postdoctoral In Reinforcement Learning jobs in Tennessee look for? The top searched job categories for Postdoctoral In Reinforcement Learning jobs in Tennessee are:
What cities in Tennessee are hiring for Postdoctoral In Reinforcement Learning jobs? Cities in Tennessee with the most Postdoctoral In Reinforcement Learning job openings:
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Infographic showing various Postdoctoral In Reinforcement Learning job openings in Tennessee as of July 2026, with employment types broken down into 1% As Needed, 74% Full Time, 18% Part Time, 2% Temporary, and 5% Contract. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution.
Post-Doctoral Research Associate: Department of Civil and Environmental Engineering - UTK

Post-Doctoral Research Associate: Department of Civil and Environmental Engineering - UTK

The University of Tennessee

Knoxville, TN

$75K/yr

Full-time

Re-posted 18 days ago

Job description

Civil and Environmental Engineering invites applications for one full-time Postdoctoral Research position to collaborate with our team in areas of biological treatment processes, water and wastewater quality, environmental microbiology, and renewable energy. Candidates should strong background knowledge in environmental engineering/science, particularly wastewater treatment, and data science and statistics. 

The position is available to start as soon as selected. The Postdoctoral researcher will report to Dr. Qiang He. This is a twelve-month appointment, renewable annually for up to two years based on performance and funds availability. The compensation package includes a competitive salary, health benefits, career mentoring, and any required travel. 

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

  • Ph.D. in environmental Engineering, chemical engineering, or related field.

  • Experience with the ability to manage and mentor undergraduates, Masters, or starting doctoral students.

  • Strong written and oral communication, management, and team leadership.

  • Extensive post-graduate preparation in wastewater treatment, metagenomics, metatranscritomics, bioinformatics, statistics, and mathematical process modeling.

  • Effective interpersonal skills and demonstrated ability to work in a team environment with a diverse group of scientific and technical personnel. 

Preferred Qualifications

  • Demonstrated experience with Python, R, and other applications 

  • Communication skills, in person or over ZOOM/TEAMS, with sponsors and students 

  • Strong background in preparing/delivering impromptu project presentations

  • Demonstrated experience in publishing journal papers

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

The Department of Civil and Environmental Engineering (CEE) has 30 tenure-line faculty members and five non-tenured full-time teaching faculty and offers baccalaureate, masters, and PhD degrees in all areas of Civil and Environmental Engineering. CEE faculty collaborate through a number of interdisciplinary centers including the Center for Transportation Research and the Institute for Advanced Materials and Manufacturing. The department also has excellent experimental facilities to support structural engineering research, including a full-scale platform for 3-D concrete printing and a 2000 square-foot structural engineering high bay laboratory with strong floor, reaction wall, and distributed hydraulic power. High performance computing resources are available from the UTK ISAAC facility (Infrastructure for Scientific Applications and Advanced Computing). As the leading university partner in UT-Battelle, the management company for Oak Ridge National Laboratory (ORNL), UTK offers extraordinary opportunities for cutting-edge research in science and engineering with the UT-Oak Ridge Innovation Institute (UT-ORII). The department ranks in the top 5% of all US Civil and Environmental Engineering programs in per faculty scholarly publications and citations according to Academic Analytics. 

  • Conduct Research, perform various tasks associated with contracted research as well as new research initiatives, and disseminate the results via publications.

  • Assist the Principal Investigator in preparing presentations, reports, interacting with sponsors in person or via emails, and prepare proposals

  • Ensure safe laboratory and work space environment, host tours, mentor students, upkeep equipment, assist in training new users as needed, and keep up with documentation of laboratory activities and related data as records

Apply