Los Alamos National Laboratory Energy Delivery Network Modeling and Optimization Scientist (R&D Scientist 2/3) in Los Alamos, New Mexico
This position will be filled at either the R&D Scientist 2 or 3 level, depending on the skills of the selected candidate. Additional job responsibilities (outlined below) will be assigned if the candidate is hired at the higher level.
Scientist 2: $94,100 - $155,700
Come join the best and brightest minds in the world at one of the most innovative and creative multidisciplinary research institutions engaged in strategic science on behalf of national security. The work we do at Los Alamos National Laboratory (LANL) matters to our country and the world.
The Applied Mathematics and Plasma Physics group (T-5) is looking for outstanding early career scientist and engineer candidates in the fields of applied mathematics, machine learning, computational science, optimization, and control theory. The researcher will perform research that focuses on developing fundamental algorithms that solve difficult problems centered on designing, operating, simulating, and analyzing complex, engineered systems. The candidate is expected to work in an interdisciplinary environment with substantial collaborative research. A successful candidate is expected to publish in peer reviewed journals, present their research at conferences and workshops, and develop projects in optimization, machine learning, and control theory.
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 typical customers include DHS, DOE, DOD, and other national laboratories. Our work typically requires close collaborations within and outside the Laboratory. More details on ANSI can be found at https://lanl-ansi.github.io/
Candidates are expected to support within the U.S. Department of Energy’s Office of Electricity, Office of Science, and ARPA-E. 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. The candidates will participate in the development of proposals to fund the teams research activities.
Scientist 3 $113,100 - $190,900
In addition to what was outlined at the lower level, at this level the selected candidate will be expected to lead research projects, including the development of funding through competitive proposals. They will also mentor postdoctoral researchers and junior staff.
What You Need
Minimum Job Requirements:
Proven publication record in one or more of the following areas: machine learning, optimization, control theory, computational science, or applied mathematics.
Demonstrated ability to work effectively in a collaborative and multi‐disciplinary scientific environment
Demonstrated excellent oral and written skills through a record of publications and presentations
Additional Job Requirements for Scientist 3:
In addition to the requirements outlined above, qualification at the higher level requires:
- Demonstrated success in obtaining funding leading successful competitive research proposals
- Demonstrated ability in leading small research teams
Education/Experience at lower level: A Ph.D. in computer science, statistical physics, operations research, applied mathematics, or a related field.
Education/Experience at higher level: A Ph.D. in computer science, statistical physics, operations research, applied mathematics, or a related field and a minimum of 6 years of research experience post completion of the Ph.D.
- 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
- Software engineering experience
- Mathematical modeling experience with AMPL, GAMS, JuMP, or Pyomo
- Experience with commercial and open‐source solvers (CPLEX, Gurobi, IPOPT, etc.)
- Experience in mentoring graduate students or postdocs
- Ability to obtain a DOE Q Clearance
Notes to Applicants:
- Contact Wesley Even (firstname.lastname@example.org) or Melanie Vigil (email@example.com ) for more details about this position
- We are expecting to hire 1-2 researchers at the scientist level 2/3, depending on qualifications.
Where You Will Work
L ocated 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 maternity and parental leave
Award-winning 401(k) (6% matching plus 3.5% annually)
Learning opportunities and tuition assistance
Flexible schedules and time off (paid sick, vacation, and holidays)
Onsite gyms and wellness programs
Extensive relocation packages (outside a 50 mile radius)
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.
Clearance: Q (Position will be cleared to this level). Applicants selected will be subject to a Federal background investigation and must meet eligibility requirements
for access to classified matter.
Eligibility requirements: To obtain a clearance, an individual must be at least 18 years of age; U.S. citizenship is required except in very limited circumstances. See DOE Order 472.2 for additional information.
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.
Regular position: Term status Laboratory employees applying for regular-status positions are converted to regular status.
Internal Applicants: Regular appointment employees who have served at least one year of continuous service in their current position are eligible to apply for posted jobs throughout the Laboratory. If an employee has not served the one year of continuous service, they may only apply for Laboratory jobs with the documented approval of their Division Leader. Please refer to Laboratory Policy P701 for applicant eligibility requirements.
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 firstname.lastname@example.org or call 1-505-665-4444 option 1.Appointment Type
Contact Name Hall, Lorna Jane
Vacancy Name: IRC89620
Organization Name T-5/Applied Mathematics And Plasma Physics
Req ID: IRC89620