Los Alamos National Laboratory Diversity Jobs

ory fellowship. See <a href="https://www.lanl.gov/careers/career-options/postdoctoral-research/postdoc-program/postdoc-appointment-types.php">https://www.lanl.gov/careers/career-options/postdoctoral-research/postdoc-program/postdoc-appointment-types.php </a>for details. <p class="MsoNormal" style="MARGIN: 0in 0in 0pt; mso-margin-top-alt: auto; mso-margin-bottom-alt: auto; mso-list: l0 level1 lfo1; tab-stops: list .5in"><strong>
Salary Guidelines, <a href="http://int.lanl.gov/employees/postdoc-program/becoming-postdoc/appointments/salary-guidelines.shtml">http://int.lanl.gov/employees/postdoc-program/becoming-postdoc/appointments/salary-guidelines.shtml </a></p><strong><strong><i style="mso-bidi-font-style: normal">Where You
ase send an email to <a>applyhelp@lanl.gov </a>or call 1-505-665-44

Job Information

Los Alamos National Laboratory Quantum Information Postdoctoral Researcher in Los Alamos, New Mexico

What You Will Do

Los Alamos National Laboratory (LANL) is seeking postdoctoral researchers to work in a team environment on aspects of quantum information science and quantum sensing enhanced by machine learning. Our particular goal is to integrate machine learning with experimental quantum sensing platforms to benefit both LANL's scientific and national-security missions.

The successful candidate will be expected to

  • conduct research to identify areas of promise and to develop methodologies for exploiting quantum sensing technologies,

  • develop theoretical and computational tools for the optimization of quantum sensing experiments, and

  • communicate research results through reports, presentations, and peer-reviewed publications.

LANL has a history of ground-breaking achievements in quantum sensing. You will have the opportunity to work with internationally recognized experts in the field.

What You Need

Minimum Job Requirements:

  • PhD or equivalent in Physics, Quantum Information Science, Computer Science, or a related field from an accredited college or university

  • Demonstrated research ability, as evidenced by publications, reports, presentations, awards, etc.

  • Excellent communication skills, as evidenced by publications and a cogent cover letter

  • Evidence of strong interpersonal skills and ability to collaborate effectively in a team environment

Desired Qualifications:

  • Substantial research experience in one or more of the fields of quantum sensing, quantum information, and quantum algorithms

  • Experience with multilevel optimization, deep learning, reinforcement learning, dimensionality reduction, and/or developing surrogate modelsfor complex systems.

  • Experience with predictive modeling, statistical estimation, uncertainty quantification, and/or the design of experiments.

  • Experience with GPU programming, high performance computing, parallel programming and related methods.

  • Experience with python, scikit-learn, Theano, PyTorch, TensorFlow or related modern machine learning libraries and tools.

Education : PhD in related field completed within the past five years or soon to be completed.

Note to Applicants:

  • Please include a curriculum vitæ with a publication list—preferably with citation counts—and a detailed cover letter (guideline: 1–2 pages) that describes your research interests and qualifications and addresses how your qualifications meet the job requirements. You should provide the names of three people who can serve as references for your abilities.

  • The position has a flexible starting date.

  • Strong candidates may be eligible for a Laboratory fellowship. Seehttps://www.lanl.gov/careers/career-options/postdoctoral-research/postdoc-program/postdoc-appointment-types.phpfor details.

Salary - Competitive salaries are based on the date the PhD degree requirements were completed or the degree was awarded. On the anniversary of these dates, salaries are automatically adjusted to the next higher level, e.g., PhD + 0: $75,500; PhD + 1: $77,400, etc. For more information see our Postdoc Salary Guidelines,http://int.lanl.gov/employees/postdoc-program/becoming-postdoc/appointments/salary-guidelines.shtml

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 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)

Additional Details

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.

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 applyhelp@lanl.gov or call 1-505-665-4444 option 1.

Appointment Type



Contact Details
Contact Name
Work Telephone
Vacancy Name: IRC81880
Organization Name CCS-3/Information Sciences
Minimum Salary
Maximum Salary
Req ID: IRC81880
Category: Postdoc