Optimization and Data Scientist (Scientist 2)
Company: Los Alamos National Laboratory
Location: Los Alamos
Posted on: April 23, 2024
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Job Description:
What You Will Do
We are looking for candidates to join our team in Los Alamos
National Laboratory's Theoretical Division (T-Division). T-Division
provides a unique and engaging environment that fosters
multi-disciplinary collaborations to support the laboratory's
strategic basic research and national security missions. The
Applied Mathematics and Plasma Physics (T-5) group within
T-Division conducts diverse research across a variety of topics
including fusion science, space plasma science, astrophysics,
numerical analysis, machine learning, computational imaging,
optimization, artificial intelligence, environmental sciences, and
the modeling of critical infrastructure (gas pipelines and
electrical grids). These application areas are tied together by
research in novel algorithms and numerical methods.
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 research 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 programs within the U.S.
Department of Energy's Office of Electricity, Office of Science,
ARPA-E, and similar sponsors. 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, machine learning, and quantum
computing methods. Selected candidates will work with the team to
conduct novel research in the areas listed above, will publish the
results in peer-reviewed journals, and will present at conferences
and workshops. They will also be developing their own R&D
portfolio within the larger team. The candidates will participate
in the development of proposals to internal and external
organizations to fund the teams research activities. The candidate
is expected to work in an interdisciplinary environment with
substantial collaborative research. This includes collaborating
with scientists and managers to develop and sustain programs as
well as recruiting, mentoring, and supporting students and
postdocs. They will be expected to foster an inclusive environment
at the workplace.
What You Need
Minimum Job Requirements:
--- Expertise in one or more of the following areas: artificial
intelligence, machine learning, optimization, control theory, data
science, computational science, applied mathematics, or quantum
information science.
--- Ability to work effectively in a collaborative environment.
--- Technical oral and written skills as demonstrated through
publications and conference presentations.
Education/Experience: Position requires a Bachelor' degree in a
STEM field from an accredited college and university and 4 years of
related experience, typically with post-doctoral research
experience at a university or national lab or equivalent experience
directly related to the occupation.
Desired Qualifications:
Experience in proposal development.
Programming experience with C++, Java, Julia, MATLAB, or
Python.
Experience with artificial intelligence or machine learning.
Optimization modeling experience with AMPL, GAMS, JuMP, or
Pyomo.
Experience with open-source software and commercial solvers (CPLEX,
Gurobi, IPO, pT, PyTorch, Tensorflow, etc.).
Experience with mentoring students or postdocs.
Ability to obtain a DOE Q Clearance.
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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.
Position commitment: Regular appointment employees are required to
serve a period of continuous service in their current position in
order to be eligible to apply for posted jobs throughout the
Laboratory. If an employee has not served the time required, they
may only apply for Laboratory jobs with the documented approval of
their Division Leader. The position commitment for this position is
1 year.
Note to Applicants:
Include a detailed cover letter with the application that addresses
how you meet the required qualifications and any desired
qualifications.
This position is open to citizens of all nationalities.
Contact t5jobs@lanl.gov for any questions about the position or
additional details.
For full consideration please apply by March 18th, 2024
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
(https://directives.nnsa.doe.gov/supplemental-directive/sd-0206-0002)
. 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.
No Clearance: 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.
Regular position: Term status Laboratory employees applying for
regular-status positions are converted to regular status.
Internal Applicants: Regular appointment employees who have served
the required period of continuous service in their current position
are eligible to apply for posted jobs throughout the Laboratory. If
an employee has not served the required period of continuous
service, they may only apply for Laboratory jobs with the
documented approval of their Division Leader. Please refer to
Policy Policy P701 (https://int.lanl.gov/policy/documents/P701.pdf)
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, 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
applyhelp@lanl.gov or call 1-505-665-4444 option 1.
Keywords: Los Alamos National Laboratory, Santa Fe , Optimization and Data Scientist (Scientist 2), Other , Los Alamos, New Mexico
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