Los Alamos National Laboratory Statistical Mechanics and Condensed Matter Postdoc in Los Alamos, New Mexico
What You Will Do
The T-4 group (Condensed matter and Statistical Mechanics) in the Theoretical Division at Los Alamos National Laboratory (LANL) invites applications for a postdoctoral position in Statistical Mechanics, with an interest in Spin Models for Computing, beginning December 2020.
Our group conducts research on a broad set of topics in Quantum Physics, General Equilibrium and Non-Equilibrium Statistical Mechanics, Quantum Computation, Soft Condensed Matter, Topological features of matter, Quantum Computing and Quantum Information, Classical and Quantum Thermodynamics. We collaborate actively with our colleagues throughout the laboratory and around the world.
What You Need
Minimum Job Requirements:
PhD (or near completion) in Theoretical Physics (possibly Condensed Matter Physics/Statistical Mechanics).
Interest and knowledge of Statistical Mechanics of Spin Models (possibly Frustrated models or Artificial Spin Ice)
Willingness to interact with experimentalists
Interest in the Physics of Computation
Computing skills (Monte Carlo techniques or Dynamic/Static Belief Propagation)
Interest in memristors and their behavior
Mesoscopic transport theory
Topological phases, including classical systems
We are currently working on the theory of artificial spin ice and memristors, such as designed or emergent computing ability in physical devices. The candidate should be independent, and have a track record of publications (possibly but not exclusively in the field of statistical mechanics and condensed matter). In particular, the candidate should have an interest in out-of-equilibrium statistical mechanics, and be able (or be willing to learn how) to perform numerical simulations for spin models.
The position is a minimum of two years.
Note to Applicants:
The candidate must have obtained the PhD in the last five years, per LANL rules.
The position does not require a security clearance. Selected candidates will be subject to drug testing and other pre-employment background checks.
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.
This position provides an excellent opportunity for an early career scientist to develop an independent research program. Candidates with expertise in any of the aforementioned areas are strongly encouraged to apply. Exceptionally well qualified candidates may be considered for a Director's Postdoctoral Fellowship or Distinguished (Feynman/Oppenheimer) Postdoctoral Fellowship.
Los Alamos is an equal opportunity employer. Women and minorities are quite strongly encouraged to apply. Interested applicants should submit their application materials (CV, research statement, and list of publications) on academicjobsonline.org and arrange to have at least three letters of recommendation uploaded on their behalf.
Applications should be submitted by October 1st, 2020 for full consideration.
For general information to the Postdoc Program (such as benefits, eligibility, appointment types), please go to: https://www.lanl.gov/careers/career-options/postdoctoral-research/postdoc-program/.
Competitive salaries are based on the date the PhD degree requirements were completed or the degree was awarded. Salary information can be found at https://www.lanl.gov/careers/career-options/postdoctoral-research/postdoc-program/postdoc-salary-guidelines.php.
For further information please contact Cristiano Nisoli (email@example.com) or Francesco Caravelli ( firstname.lastname@example.org ).
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 email@example.com or call 1-505-665-4444 option 1.
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.
The Theoretical division contributes to computer modeling, and the tests and applications that result from modeling help define new directions in basic research. Our strong interdisciplinary teaming and unique research facilities allow us to develop solutions to complex problems, and to support partners and collaborators, all with the goal of strengthening national security and making a safer world. T6 is One of the few research groups in the world devoted to mathematical modeling and computational analysis of problems in cellular and molecular biology. https://www.lanl.gov/org/ddste/aldsc/theoretical/physics-condensed-matter-complex-systems/index.php
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)
Vacancy Name: IRC81417
Organization Name T-4/Physics Of Condensed Matter & Complex Systems
Req ID: IRC81417