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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 

The goal of this fellowship will be to develop a machine learning model that uses graph-based representations of fracture networks to predict the movement of contaminants in the subsurface. This could help in predicting the fate of pollutants from legacy waste sites, improving remediation strategies, and reducing environmental risks. 

  • Running subsurface flow and transport simulations to generate training data
  • Training a machine learning model
  • Writing a paper describing research results.

Job Specifics: 

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

Eligibility Requirements 

  • Majors: All STEM 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 

  • Soft skills: strong written and verbal communication skills
  • Hard skills: experience running computer simulations and training machine learning models
  • Technologies: pytorch, tensorflow, or a similar framework