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Graduate (Year-Round) Research Intern – Artificial Intelligence

🚀 Off-cycle Internship


💻 Remote
🤑 $42.7K - $68.3K
⌛ Closed
Applications are closed

Off-cycle Internship

Software Engineering, DataGolden


  • 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.


  • Minimum of a 3.0 cumulative grade point average.
  • Undergraduate: Must be enrolled as a full-time student in a bachelor’s degree program from an accredited institution.
  • Post Undergraduate: Earned a bachelor’s degree within the past 12 months. Eligible for an internship period of up to one year.
  • Graduate: Must be enrolled as a full-time student in a master’s degree program from an accredited institution.
  • Post Graduate: Earned a master’s degree within the past 12 months. Eligible for an internship period of up to one year.
  • Graduate + PhD: Completed master’s degree and enrolled as PhD student from an accredited institution.
  • Additional Required Qualifications:
  • The successful candidate will have completed at least two years of education and is currently enrolled in a PhD program (or will be enrolled as of fall 2024).
  • The candidate should be studying machine learning, potentially within a computer science, electrical engineering, or computer engineering graduate program. Experience with machine learning and software development is required.
  • The candidate should have a strong motivation to do and publish high-impact research work.
  • Preferred Qualifications:
  • Experience with:
  • Python programming, including packages such as:
  • Tensorflow
  • Pytorch
  • Numpy
  • Scipy
  • SQL
  • Scientific analysis of real-world empirical data
  • Deep Learning
  • Convolutional Neural Networks (CNNs)
  • Neural network pruning
  • Object-Oriented Programming (OOP)
  • LaTeX
  • At least one publication in machine learning is preferred.

Education requirements

Currently Studying

Area of Responsibilities

Software Engineering


  • Collaboratively developing modular approaches to engineering intelligent systems
  • Training, calibrating, and evaluating AI modules and systems
  • Assisting in experimental design and execution
  • Engaging in collaborative development of journal and conference manuscripts, technical papers, and project reports


Work type

Part time

Work mode





42700 - 68300 USD