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Up to 30% off — ends 2 Aug
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Los Alamos National Laboratory
3 weeks ago
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 funding availableCountry
United States
University
Los Alamos National Laboratory

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About this position
Postdoctoral Researcher opportunity in Mathematical Optimization for Energy Systems at the National Laboratory of the Rockies (NLR) in Golden, Colorado, USA.
This position sits in the Computational Science Center and focuses on research at the intersection of mathematical optimization, energy systems, artificial intelligence, reinforcement learning, high-performance computing, and sustainable/renewable energy.
Research topics include energy system design and control, large-scale linear/nonlinear/integer/stochastic optimization, parallel computing, scalable optimization algorithms, automation, decision-making, and computational sciences.
Preferred skills include optimization tools such as Pyomo, JuMP, PuLP, GAMS; solvers such as Gurobi, CPLEX, Xpress, Cbc, Ipopt; programming in Python and/or Julia; machine learning with PyTorch; and parallel computing with MPI and OpenMP.
Eligibility is for a recent PhD graduate within the last three years in Operations Research, Applied Mathematics, Computer Science, Industrial Engineering, Mechanical Engineering, Electrical Engineering, Energy Systems, or a closely related field.
The appointment is full-time and fixed-term, with salary ranging from USD $76,600 to $126,400 per year depending on qualifications and experience.
To apply, candidates should submit a CV/Resume and Cover Letter through the official NLR careers portal using the job link provided.
Funding details
Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.
How to apply
Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.
More information can be found here
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