Los Alamos National Laboratory Network Optimization Postdoc in Los Alamos, New Mexico
What You Will Do
We are seeking outstanding postdoctoral researchers to work on the development of novel algorithms in the areas of discrete optimization, nonlinear optimization, and large-scale distributed optimization. These algorithms will be utilized to solve difficult optimization problems arising in infrastructure networks, disaster management, control systems, and machine learning. The candidate will participate in the Los Alamos Advanced Network Science Initiative, an interdisciplinary research group including operations researchers, applied mathematicians, computer scientists, and physicists.
Information Systems and Modeling group (A-1) performs basic and applied research focused on increasing the security of the nation's energy infrastructure. We specialize in the development and use of algorithms for optimization and simulation of complex networks. These algorithms provide detailed, quantified information on the physical, operational, and economic behavior of energy networks, infrastructures, and industries. Our expertise covers the generation, transmission, and distribution of electric power, natural gas, oil, and coal, as well as other, non-energy systems critical to energy security. We ensure the scientific and technological validity of our models by working closely with physicists, engineers, mathematicians, statisticians, computer scientists, and economists and by employing interdependency, optimization, and risk-assessment frameworks. Our customers include the DOE, DHS, DOD, and other national laboratories.
The Center for Nonlinear Studies (CNLS) is part of the Laboratory's Theoretical Division, and organizes research related to nonlinear and complex systems phenomena. CNLS was formed in October of 1980 and its missions include,
Identify and study complex nonlinear phenomena using a diverse set of research approaches and methodologies, particularly those of statistical physics, nonlinear science, applied mathematics and numerical simulation.
Promote the use of scientific results in applied research.
Stimulate the formation of interdisciplinary approaches to complex problems.
Facilitate the interchange of scientific results and ideas between Laboratory scientists and external centers of excellence.
Encourage the exploration of new scientific frontiers at the interface between conventional disciplines.
Support a broad spectrum of interdisciplinary science that underpins the Laboratory’s mission in national security.
This is a two-year position.
What You Need
Minimum Job Requirements:
Strong publication record in one or more of the following areas: constraint programming, mixed-integer programming, convex optimization, nonlinear optimization, distributed optimization, local search/heuristics, infrastructure modeling and simulation
Strong communication and language skills, as evidenced by publications and the cover letter
Programming experience with Python, Julia, C++, Java or another object-oriented language and demonstrated software engineering skills
Ability to work effectively in a collaborative and multi-disciplinary scientific environment
Experience with optimization software libraries and packages such as cplex, gurobi, mosek, ipopt, etc.
Experience with implementing and benchmarking optimization algorithms
Experience with distributed computing frameworks such as MPI, RESTful programing, cloud computing
Ability to obtain a DOE Q clearance, which generally requires U.S. citizenship.
Education: A Ph.D. in computer science, operations research, applied mathematics or a related field within the past 5 years is required.
Notes to Applicants: For further questions, please contact C. Coffrin at email@example.com. To apply, please use the “apply now” button below. Include a letter describing your research interests, a CV and 3 references.
Position does not require a security clearance. Selected candidates will be subject to drug testing and other pre-employment background checks.
New-Employment Drug Test: The Laboratory requires successful applicants to complete a new-employment drug test and maintains a substance abuse policy that includes random drug testing.
Candidates may be considered for a Director's Fellowship and outstanding candidates may be considered for the prestigious Marie Curie, Richard P. Feynman, J. Robert Oppenheimer, or Frederick Reines Fellowships.
For general information to go to Postdoc Program.
Los Alamos National Laboratory is an equal opportunity employer and supports a diverse and inclusive workforce. All employment practices are based on qualification and merit, without regards to race, color, national origin, ancestry, religion, age, sex, gender identity, sexual orientation or preference, marital status or spousal affiliation, physical or mental disability, medical conditions, pregnancy, status as a protected veteran, genetic information, or citizenship within the limits imposed by federal laws and regulations. The Laboratory is also committed to making our workplace accessible to individuals with disabilities and will provide reasonable accommodations, upon request, for individuals to participate in the application and hiring process. To request such an accommodation, please send an email to firstname.lastname@example.org or call 1-505-665-4444 option 1.
Where You Will Work
Located in northern New Mexico, Los Alamos National Laboratory (LANL) is a multidisciplinary research institution engaged in science and engineering on behalf of national security. The Analytics, Intelligence and Technology (A) Division is a focal point for the Laboratory’sapplied modeling and simulation, systems engineering, and integrationcapabilities. The Center for Nonlinear Studies organizes interdisciplinary research related to nonlinear and complex systems phenomena.
Location: Los Alamos, NM, US
Contact Name: Johnson, Dana Elizabeth
Organization Name: A-1/Information Systems and Modeling
Job Title: Network Optimization Postdoc
Appointment Type: Postdoc
Req ID: IRC58100