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University of Tennessee, Knoxville · 20 hours ago

Post-Doctoral Research Associate: Department of Nuclear Engineering - UTK

Knoxville, TN

Full-time

Onsite

Mid, Senior Level

$70K/yr - $75K/yr

The University of Tennessee, Knoxville is seeking a Post-Doctoral Research Associate in Computational Materials Science and Machine Learning. This role involves computational research on nuclear materials and focuses on developing machine learning interatomic potentials and high-performance computing for predicting chemical properties.

Higher Education

H1B Sponsor Likely

Responsibilities

Development and evaluation of statistical and machine learning tools for designing and understanding functional materials using the leadership class high performance computing facilities

Work with multi-disciplinary teams to apply modeling and simulation techniques to bulk materials and interfaces, supporting both fundamental research and applied programs

Publishing papers in high-quality refereed journals

Actively collaborating with industry, academia, government labs, and applications developers in a variety of venues

Qualification

Machine LearningComputational ModelingAdvanced Free Energy SimulationsPythonStatistical MechanicsModeling Solid-Liquid InterfacesInterpersonal SkillsOral CommunicationWritten CommunicationSelf-StarterTeam CollaborationAdaptability

Required

Ph.D. degree in Materials Science, Chemical Engineering, Computational Chemistry, or an equivalent field

A well-established track record of research in materials science/computational modeling/chemistry

Experience in employing advanced statistical mechanics methods and machine learning for simulations of materials

Preferred

Programming experience using Python for workflow development, scientific computing, and data analysis and visualization

Demonstrated knowledge and experience in advanced free energy simulations methods, such as thermodynamic integration, metadynamics, and umbrella sampling

Experience in developing and utilization of machine learning interatomic potentials to enhance predictive modeling of chemical processes and materials

Demonstrated experience in modeling solid-liquid interfaces

Excellent interpersonal skills, oral and written communication skills

Motivated self-starter with the ability to work independently and to participate creatively in collaborative teams across the laboratory

Ability to function well in a fast-paced research environment, set priorities to accomplish multiple tasks within deadlines, and adapt to ever changing needs

Company

University of Tennessee, Knoxville

Glassdoor4.3

As the state’s land grant, research-intensive institution, the University of Tennessee, Knoxville, is a university that leads.

Founded in 1794

Knoxville, TN, US

10001+ employees

https://www.utk.edu

H1B Sponsorship

University of Tennessee, Knoxville has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

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