Department of Electrical Engineering and Computer Science - University of Tennessee, Knoxville · 1 day ago
Graduate Student Researcher
Sewanee, TN
Internship
Onsite
InternThe Department of Electrical Engineering and Computer Science at the University of Tennessee, Knoxville is seeking graduate students for PhD track research focused on building next-generation automated tools for materials discovery. The role involves working on automated microscopy and machine learning applications to enhance experimental planning and understanding of materials at the atomic level.
Higher Education
Responsibilities
Join to build the material future!
Work on building next-generation, automated tools for materials discovery at the atomic level
Focus on Automated STEM and SPM – microscopes that can navigate, tune, and measure with minimal human intervention
Engage in Machine learning & decision-making – Bayesian optimization, active learning, RL for experiment planning
Tackle real materials problems – quantum and energy materials, ferroelectrics, electrolytes, complex oxides, etc
Turn electron and scanning probe microscopes into intelligent experimental agents that help discover and understand new materials faster
Qualification
Required
Graduate students (PhD track)
Backgrounds in materials science, physics, EE, CS, or related fields
Interest in at least two of the following: Microscopy (STEM / TEM / SPM), Programming and ML (Python, PyTorch, etc.), Experimental work with real materials and devices
Preferred
Industrial experience is a plus!
Company
Department of Electrical Engineering and Computer Science - University of Tennessee, Knoxville
The Department of Electrical Engineering and Computer Science is the largest department in the Tickle College of Engineering at the University of Tennessee.
51-200 employees
Funding
Current Stage
Growth StageCompany data provided by crunchbase