Hybrid Graduate PhD Intern – AI Foundation Model for Power System Optimization

Posted last week

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About the role

  • PhD intern developing cutting-edge AI foundation models for power system optimization at National Laboratory of the Rockies. Collaborating with experts in a mission-driven environment.

Responsibilities

  • Build best-in-class AI foundation models and generative AI models for power system optimization, using RNN, GAN, and LLMs.
  • Bring your algorithms to life for industry partners, making tangible improvements in learn to optimize domain.
  • Manage our project GitHub repository for experiment tracking and code versioning, ensuring seamless collaboration with partners and code excellence.
  • Present your groundbreaking results and key findings at workshops, conferences, and in high-quality journals, positioning yourself as a thought leader in the field.

Requirements

  • 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.
  • Expertise in Python and its related libraries, such as Tensorflow, Hugging Face, and Pytorch.
  • Proven experience in power system optimization and AI foundation models.
  • A comprehensive understanding of learn to optimize topic.
  • A track record of publishing high-quality research papers.

Benefits

  • medical, dental, and vision insurance
  • 403(b) Employee Savings Plan with employer match*
  • sick leave (where required by law)

Job title

Graduate PhD Intern – AI Foundation Model for Power System Optimization

Job type

Experience level

Entry level

Salary

$51,200 - $81,900 per year

Degree requirement

Postgraduate Degree

Location requirements

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