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Why EM-MSIPP? 

The mission of the Minority Serving Institution Partnership Program (EM MSIPP) is to create and support a sustainable career pathway that prepares a diverse workforce of talented students to make immediate and significant contributions to the Department of Energy (DOE) Office of Environmental Management (EM). To achieve this mission, MSIPP develops strategic partnerships between Minority Serving Institutions (MSIs) and DOE-EM, investing in student enrichment programs, curriculum development, research efforts, and internship opportunities. EM MSIPP develops programs that align with DOE-EM missions to enhance research opportunities at underrepresented colleges and Universities in efforts to diversity the STEM workforce. 

Job Description 

An EM MSIPP Grad Fellow will receive training in targeted technical areas outlined in various DOE-EM scope job responsibilities. The 13-month salaried fellowship will offer specialized training, leadership and professional development. Completion of this fellowship will provide hands-on and field experiences that may lead to potential career opportunities within the DOE workforce complex. 

Responsibilities 

  • Learn and implement techniques for fine-tuning Large Language Models (LLMs) using nuclear safety data
  • Explore and implement novel techniques such as Retrieval Augmented Generation (RAG)
  • Work with INL supercomputing resources for running and fine-tuning LLMs
  • Present research details, outcomes, and insights in form of slides, scientific papers, and technical reports 
     

Job Specifics: 

  • Location: Idaho National Laboratory, Idaho Falls, Idaho
  • Remote: NO
  • Pay: $60,000 (obtaining graduate degree); $72,000 (postgraduate)
  • Sign On Bonus: Yes
  • Job Length: 13-month assignment (

Eligibility Requirements 

  • Majors: Nuclear Engineering, Mechanical Engineering, Electrical Engineering, Computer Engineering, and other engineering majors. 
  • Must be a US Citizen
  • Must have graduated from or enrolled in a MSI.
  • Must be eligible for security clearance based on position requirements.
  • Enrolled in a graduate program or have graduated at the time of application AND have a current cumulative GPA of at least 3.0 on a 4.0 scale.
  • Earned or working towards a STEM degree (undergraduate or graduate)

Preferred Skills 

  • Experience or coursework in Python, Bash, or other programming languages
  • Basic knowledge of LLM algorithms
  • Basic knowledge of processing data with LLMs, related approaches such as retrieval augmented generation and fine-tuning LLMs
  • Passion for learning, problem solving, and research