Optimization and Infrastructure Postdoctoral Researcher

What You Will Do

This position is part of LANL's Advanced Network Science Initiative (ANSI) team. ANSI performs basic and applied research focused on modeling and understanding the nation's critical infrastructures, such as electric power and natural gas. Our expertise covers statistics, stochastic methods, machine learning, control theory, dynamical systems, discrete and continuous optimization, statistical physics, and graphical modeling. We ensure the scientific and technological validity of our approaches by working closely with physicists, engineers, mathematicians, statisticians, computer scientists, and economists through interdisciplinary collaborations. Our work typically requires close collaborations within and outside the Laboratory. More details on ANSI can be found at ~~~/

Candidates will have an opportunity to collaborate with DOE Offices of Electricity and Science, ARPA-E, DHS, DOD, national laboratories, and universities, where their work can make an impact on problems of national and global importance. Programs and projects include control and optimization of networks under uncertainty, analysis of extreme events, design of resilient networks, modeling of interdependent networks, machine learning for infrastructure systems, and fundamentals of optimization and machine learning methods. Selected candidates will work with the team to conduct novel research in the areas listed above and will publish the results in peer-reviewed journals.

What You Need

Minimum Job Requirements:

Experience in one or more of the following areas: machine learning, optimization, control theory, computational science, or applied mathematics.

Ability to work effectively in a collaborative and multi-disciplinary scientific environment

Education/Experience : Completion of a Ph.D. in computer science, statistical physics, operations research, applied mathematics, or a related field within the last five years or expected completion within the current academic year.

Desired Qualifications:

Technical Knowledge:

• Experience in developing fundamental approaches that can be applied to practical science and engineering problems, especially in the context of infrastructure networks

• Programming experience with Java, C++, Python, MATLAB, or Julia

• Mathematical modeling experience with AMPL, GAMS, JuMP, or Pyomo

• Experience with commercial and open-source solvers (CPLEX, Gurobi, IPOPT, etc.)

Technical Communication :

Written and oral technical communication skills as evidenced by peer-reviewed journal publications and/or presentations at professional conferences.

Collaboration:

Experience working as a productive member of a team, including the demonstrated ability to develop solutions for complex problems while effectively networking with peers.

Work Location: The work location for this position is onsite and located in Los Alamos, NM. All work locations are at the discretion of management.

Salary: Competitive salaries are based on the date the PhD degree requirements were completed or the degree was awarded. Starting salary for a new graduate is currently $92,000. For more information go to Postdoc Program website at ~~~ .

Note to Applicants:

Inquiries should be sent to ~~~ . When applying on-line, please include the following files with your application: a CV (please include month/year of PhD) and a detailed cover letter describing the candidate's interest in working with the ANSI, mentor(s) the candidate is interested in collaborating with, and how they satisfy the requirements for the position.

Fellowship Opportunities: Candidates may be considered for a Director's Fellowship, CNLS Fellowship, or Nicholas C. Metropolis Fellowship.

Postdoctoral positions are for 2 years, with a potential for a renewal for a third year.

Where You Will Work

Located in beautiful northern New Mexico, Los Alamos National Laboratory (LANL) is a multidisciplinary research institution engaged in strategic science on behalf of national security. Our generous benefits package includes:

§ PPO or High Deductible medical insurance with the same large nationwide network

§ Dental and vision insurance

§ Free basic life and disability insurance

§ Paid childbirth and parental leave

§ Award-winning 401(k) (6% matching plus 3.5% annually)

§ Learning opportunities and tuition assistance

§ Flexible schedules and time off (PTO and holidays)

§ Onsite gyms and wellness programs

§ Extensive relocation packages (outside a 50 mile radius)

Additional Details

Directive 206.2 - Employment with Triad requires a favorable decision by NNSA indicating employee is suitable under NNSA Supplemental Directive 206.2 (~~~) . Please note that this requirement applies only to citizens of the United States. Foreign nationals are subject to a similar requirement under DOE Order 142.3A.

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. Although New Mexico and other states have legalized the use of marijuana, use and possession of marijuana remain illegal under federal law. A positive drug test for marijuana will result in termination of employment, even if the use was pre-offer.

Equal Opportunity: 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 regard 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 ~~~ or call ~~~ option 1.