Graduate PhD Student Intern (Summer) – Mathematical Optimization jobs in United States
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National Laboratory of the Rockies · 5 hours ago

Graduate PhD Student Intern (Summer) – Mathematical Optimization

National Laboratory of the Rockies (NLR) is the nation's primary laboratory for energy systems research and development. They are seeking a Graduate PhD Student Intern to work on large-scale power systems planning, developing optimization algorithms and collaborating with researchers to enhance the reliability and security of bulk electric systems.

Clean EnergyCleanTechEnergyRenewable Energy

Responsibilities

Develop and implement mathematically sound approaches for transmission and capacity expansion using distributed optimization methods on NLR’s HPC
Collaborate with NLR researchers to assess tradeoffs between model detail and computational time
Process and visualize results to inform algorithmic design
Author, present and assist in the preparation of technical papers, reports and conference proceedings on topics related to power systems planning

Qualification

Mathematical OptimizationHigh-Performance ComputingAlgebraic ModelingPythonPyomoGurobiCross-disciplinary ResearchCollaborationTechnical Writing

Required

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
Currently pursuing a PhD in applied mathematics, industrial engineering, chemical engineering, management science, operations research, or a related discipline
Demonstrated experience with algebraic modeling, including the use of modeling tools such as Pyomo, JuMP, GAMS, AMPL, CPLEX, Gurobi etc
Demonstrated experience implementing algorithms with Python, Julia, or other major language

Preferred

Experience with Pyomo and/or JuMP
Experience with commercial and/or open-source optimization solvers (e.g., Gurobi, HiGHS, IPOPT)
Experience with developing custom math-programming algorithms tailored to specific problems
Experience working with cross-disciplinary research teams
Experience with mpi-sppy and/or progressive hedging
Candidates should have demonstrated interest or experience in power systems planning and/or operations
Experience with publishing
Experience with HPC workflows, bash script, linux etc

Benefits

Medical, dental, and vision insurance
403(b) Employee Savings Plan with employer match
Sick leave (where required by law)
Performance-, merit-, and achievement- based awards that include a monetary component
Relocation expense reimbursement

Company

National Laboratory of the Rockies

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The U.S. Department of Energy's primary national laboratory for energy systems research and development.

Funding

Current Stage
Late Stage
Total Funding
$166.09M
Key Investors
US Department of EnergyARPA-E
2024-09-04Grant
2023-09-21Grant· $1M
2023-05-22Grant· $150M

Leadership Team

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Clay Sumner
Deputy Chief Financial Officer
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Jennifer L.
Chief Financial Officer
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