You should have a minimum 3.0 GPA, enrolled in or recently graduated from a relevant program, studying machine learning, experienced in Python/Tensorflow/Pytorch, and motivated to publish impactful research. Publication in ML preferred.

You will collaborate on developing AI systems, train and evaluate modules, assist in experiments, and contribute to writing technical papers and reports.

Software Engineering

Data

United States

Golden

Large

The National Renewable Energy Laboratory (NREL), a Department of Energy national lab, is #TransformingEnergy as the nation's primary laboratory for renewable energy and energy efficiency research and development.

NREL's Mission: NREL develops renewable energy and energy efficiency technologies and practices, advances related science and engineering, and transfers knowledge and innovations to address the nation's energy and environmental goals.

NREL's Strategy: NREL has forged a focused strategic direction to increase its impact on the U.S. Department of Energy's (DOE) and our nation's energy goals by accelerating the research path from scientific innovations to market-viable alternative energy solutions.

Science & Healthcare

National Renewable Energy Laboratory

<ul><li>The Artificial Intelligence, Learning, and Intelligent Systems Group within NREL’s Computational Science Center has an opening for a Graduate Student Researcher to participate in a research project to develop a systematic modular approach to engineering intelligent systems with an emphasis on ease-of-use, equity, robustness, safety, and efficiency.</li><li>The researcher’s work schedule may be flexible to accommodate academic workloads (e.g., full-time in the summer, and part-time during the academic year). If academic work is compatible with this research effort, some degree of synergistic overlap may be possible. Work may be done remotely, in-person, or both.</li><li>The graduate researcher will be a full team member, working closely with other researchers to publish impactful research. The successful candidate will work with a research team to develop modular AI systems, decompose monolithic systems into modular ones, and to evaluate and characterize such modules and systems.</li></ul>

Currently Studying

The Artificial Intelligence, Learning, and Intelligent Systems Group within NREL’s Computational Science Center has an opening for a Graduate Student Researcher to participate in a research project to develop a systematic modular approach to engineering intelligent systems with an emphasis on ease-of-use, equity, robustness, safety, and efficiency.The researcher’s work schedule may be flexible to accommodate academic workloads (e.g., full-time in the summer, and part-time during the academic year). If academic work is compatible with this research effort, some degree of synergistic overlap may be possible. Work may be done remotely, in-person, or both.The graduate researcher will be a full team member, working closely with other researchers to publish impactful research. The successful candidate will work with a research team to develop modular AI systems, decompose monolithic systems into modular ones, and to evaluate and characterize such modules and systems.

Graduate (Year-Round) Research Intern – Artificial Intelligence

Requirements

Responsibilities

National Renewable Energy Laboratory

Mission & Purpose