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.

The focus of the project is to develop quantum computing algorithms for quantum scattering in atomic and molecular systems that are expected in a fusion energy system, and demonstrate the schemes in current quantum computers. Candidates with background in (1) quantum scattering theory and computation, particularly in atomic and molecular physics, and quantum chemistry; and/or (2) quantum computing, are preferred. Fusion energy science background is desirable but not required. The selected candidates are expected to work with a team of fusion energy scientists, atomic physicists, and quantum computing scientists. The initial appointment is for two years, with a possible third year extension depending on performance and funding availability.

What You Need

Minimum Job Requirements:

• Demonstrated expertise in one or more areas of quantum computing, atomic/molecular physics, quantum chemistry, and quantum scattering broadly defined.

• Demonstrated ability to work effectively in a collaborative and multi-disciplinary scientific environment.

• A record of publications and presentations in one or more of the following areas: applied mathematics, computational physics, plasma physics, or fusion science.

Education/Experience : Completion of a Ph.D. in STEM field within the last five years or expected completion within the current academic year.

Desired Qualifications:

Technical Knowledge:

• Quantum scattering theory and computation, particularly in atomic and molecular physics, and quantum chemistry.

• Quantum computing.

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 $94,500. For more information go to Postdoc Program website at https://www.lanl.gov/careers/career-options/postdoctoral-research/index.php .

Note to Applicants:

In addition to applying online, please send a cover letter and CV (including the contact information of three references) to Xianzhu Tang at xtang@lanl.gov . 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 and qualifications in this research area.

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.

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, 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.