Los Alamos National Laboratory
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Postdoctoral Researcher in Mathematical Optimization for Energy Systems National Laboratory of the Rockies in United States
Degree Level
Postdoc
Field of study
Computer Science
Funding
Full-time postdoctoral employment at 40 hours per week with an annual salary range of $76,600–$126,400. Benefits include medical, dental, and vision insurance; short-term disability insurance; pension benefits; a 403(b) savings plan with employer match; life and AD&D insurance; paid time off and sick leave; paid holidays; and potentially relocation reimbursement, subject to eligibility. The position is not described as a scholarship or stipend-funded studentship.
Country
United States
University
Los Alamos National Laboratory
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About this position
The National Laboratory of the Rockies (NLR) is seeking a full-time Postdoctoral Researcher in Mathematical Optimization for Energy Systems in Golden, Colorado. The position is based in the Advanced Computing Solutions Group within the NLR Computational Science Center.
The researcher will develop and apply mathematical optimization methods to the design and control of energy systems. Research may combine linear, nonlinear, integer, and stochastic optimization with artificial intelligence techniques, particularly reinforcement learning. The work will also involve scalable implementations for modern parallel computing architectures, collaboration with energy-domain experts, development of mathematical and simulation frameworks, publications, and proposal contributions.
Applicants must have completed, or be completing before employment begins, a PhD obtained within the last three years. Required experience includes algebraic modeling languages such as Pyomo, JuMP, PuLP, or GAMS; optimization solvers including CPLEX, Gurobi, Xpress, Cbc, or Ipopt; and strong computational and mathematical optimization fundamentals. Preferred skills include MPI or OpenMP, Python or Julia, Pyomo or JuMP, PyTorch, and experience in cross-disciplinary research teams.
The position is full-time at 40 hours per week, with an annual salary of $76,600–$126,400 and a competitive benefits package. The anticipated application submission window is up to 30 days and may be extended. Applicants should submit a cover letter and resume through the NLR Workday portal.
Funding details
Full-time postdoctoral employment at 40 hours per week with an annual salary range of $76,600–$126,400. Benefits include medical, dental, and vision insurance; short-term disability insurance; pension benefits; a 403(b) savings plan with employer match; life and AD&D insurance; paid time off and sick leave; paid holidays; and potentially relocation reimbursement, subject to eligibility. The position is not described as a scholarship or stipend-funded studentship.
What's required
Applicants must be recent PhD graduates, having completed the PhD within the last three years, and must meet educational requirements before the employment start date. Required qualifications include experience formulating optimization problems in an algebraic modeling language such as Pyomo, JuMP, PuLP, or GAMS; experience with mathematical optimization solvers such as CPLEX, Gurobi, Xpress, Cbc, or Ipopt; and a good understanding of computational and mathematical optimization fundamentals. Preferred qualifications include familiarity with MPI or OpenMP, experience with Pyomo or JuMP, Python or Julia programming, scalable machine-learning frameworks such as PyTorch, and experience working with diverse, inclusive, and cross-disciplinary research teams. Candidates must be able to obtain and maintain a federal PIV card, pass a background investigation, and pass a pre-employment drug test.
How to apply
Submit an application form through the Workday application portal for this specific position. Include a cover letter and resume; applications are not retained for future positions.
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Prepare your application
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ApplyKite TwinLearns as you applyMake your next move.
Prepare your application
Review drafts and confirm requirements with the university.