 | | Job Title | | Machine Learning, Tensor Networks and Factorizaiton Postdoc | | | | | Location | | Los Alamos, NM, US | | | | | Organization Name | | T-1/Physics And Chemistry Of Materials | | | | | Minimum Salary | | | | | | | Maximum Salary | | | | | | | | What You Will Do The Physics and Chemistry of Materials T-1 Group in Theoretical Division at Los Alamos National Laboratory (LANL) has four openings for creative and resourceful postdoc candidates with substantial machine learning and strong computational and applied math skills. We are looking for candidates with knowledge in: Machine Learning, Tensor networks and Tensor Factorization. The successful candidate is to join our T-1 Group; however, the work involves collaborations with other LANL groups and divisions. She/he will work on developing and applying novel methods and computational techniques for large dataset analysis based on tensor networks. The research is expected to produce a series of peer-reviewed publications in high-impact journals. The term of the appointment is 2 years, with the option to extend to a third year depending on the performance and funding availability. Candidates may be also nominated for a Director's LANL Fellowship and outstanding candidates may be considered for the prestigious Marie Curie, Richard P. Feynman, J. Robert Oppenheimer, or Frederick Reines LANL Distinguished Fellowships. For general information about the application processes and the LANL fellowships refer to the LANL Postdoctoral Program page. T-Division employs about 300 scientists, including many postdoctoral associates and graduate students, with expertise in various facets of theoretical physics, chemistry and applied mathematics. The successful candidate will join a dynamic and interdisciplinary team that is working on projects related to strategic national-interest problems dealing with development of new machine learning methods with applications in the fields of energy, new materials, biology, and environments. Our research includes active collaborations with universities and other national laboratories. The project also include extensive research work related to high-performance computing. Access will be provided to state-of-the-art computing facilities within LANL. | | | | | | What You Need Minimum Job Requirements: Applicants must have: (1) machine learning skills, (2) strong code development experience, (3) applied math skills, (4) demonstrated record of peer-reviewed publications, (5) fluency in one or more programming languages including high-level dynamic languages. Desired Skills: Preference will be given to applicants with experience in: (1) application and development of tensor methods (2) Julia language (3) CPU+GPU programming Education: A Ph.D. in Mathematics, Computer Science, Applied Mathematics, Statistics, Engineering or Physics, completed within the last five years or soon to be completed is required. Notes to Applicants: For further information, check out http://www.lanl.gov/careers/career-options/postdoctoral-research/postdoc-program/index.php. LANL offers an excellent working environment and competitive compensation and benefits package. Additional information about this position by contacting Boian S. Alexandrov (boian@lanl.gov). For general information about the application processes refer to the LANL Postdoctoral Program page. | | | | | | Where You Will Work Located in northern New Mexico, Los Alamos National Laboratory (LANL) is a multidisciplinary research institution engaged in strategic science on behalf of national security. LANL enhances national security by ensuring the safety and reliability of the U.S. nuclear stockpile, developing technologies to reduce threats from weapons of mass destruction, and solving problems related to energy, environment, infrastructure, health, and global security concerns. | | | | | | 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 regards 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. | | | | | | | | | | | Employment Status | | | | | | | | Appointment Type | | Postdoc | | Postdoc | | | | | |
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