Physics World · 1 month ago
Computational Optimization Postdoctoral Researcher
Livermore, CA
Full-time
Hybrid
New Grad, Entry Level
$138K/yr - $138K/yrLawrence Livermore National Laboratory (LLNL) is dedicated to fostering a culture that values individuals and partnerships to enhance the United States’ security. The role involves conducting research in stochastic, decentralized, and multi-level optimization specifically for critical infrastructure systems, while collaborating with a multi-disciplinary team and developing advanced optimization models.
Publishing
No H1B
Security Clearance RequiredU.S. Citizen Only
Responsibilities
Develop and extend mathematical programming (e.g., MIP, NLP, and MINLP) formulations of core critical infrastructure operations and planning optimization models
Design and implement high-performance (parallel) solvers for stochastic, multi-level, and/or decentralized optimization models of critical infrastructure
Analyze and mitigate performance bottlenecks in parallel solver implementations
Publish research results in external peer-reviewed scientific journals and participate in conferences and workshops
Present formal and informal overviews of research progress at group meetings
Contribute to grant proposals and collaborate with others in a multidisciplinary team environment to accomplish research goals
Pursue independent (but complementary) research interests and interact with a broad spectrum of scientists internal and external to the Laboratory
Perform other duties as assigned
Qualification
Required
Ability to secure and maintain a U.S. DOE Q-level security clearance which requires U.S. citizenship
Ph.D. in Operations Research, Industrial Engineering, Computer Science, Applied Mathematics, or closely related field
Working knowledge of at least one algebraic modeling language (e.g., Pyomo, JuMP, AMPL, and GAMS) for mathematical optimization
Working knowledge of at least one widely used mathematical optimization solver (e.g., Gurobi, CPLEX, and Express)
Experience developing software in a high-level language such as Python, Julia, and C++ (Python preferred)
Experience developing advanced optimization solvers considering either adversarial (multi-level) behaviors, uncertain inputs, or decentralized contexts
Publication record in high-quality peer-reviewed journals and/or conferences
Analytical and problem-solving skills necessary to craft creative solutions to independently solve complex problems
Proficient verbal and written communication skills to effectively collaborate in a team environment, present and explain technical information to technical as well as non-technical audiences, document work and write research papers
Preferred
Experience with high-performance computing systems, specifically parallel programming libraries such as MPI
Experience with the application of mathematical optimization to critical infrastructure systems, including electricity grid and natural gas networks
Experience processing and analyzing geospatial information, including climate and weather data
Benefits
Flexible Benefits Package
401(k)
Relocation Assistance
Education Reimbursement Program
Flexible schedules (
•depending on project needs)
Company
Physics World
Physics World is print and digital science magazine that features the latest interviews, information, and news from the physics world.
Founded in 1988
11-50 employees
Funding
Current Stage
Early StageCompany data provided by crunchbase