Los Alamos National Laboratory Machine Learning Applied to the Analysis of Physical Simulations and Associated Experimental Data Postdoc in Los Alamos, New Mexico
What You Will Do
The Information Sciences group (CCS‐3) at the Los Alamos National Laboratory (LANL) has an opening for an outstanding postdoctoral research associate in the area of machine learning applied to the analysis of physical simulations and corresponding experimental data. The selected candidate will collaborate with machine learning scientists as well as with computational and experimental physicists. The field of machine learning has experienced explosive growth over the last decade but relatively little research has been directed toward understanding how machine learning can improve the execution and interpretation of large-scale physical simulations. Novel machine learning techniques may be particularly essential for enabling physical simulations that utilize next-generation exascale supercomputers.
The candidate should be acquainted with techniques in computational physics and/or applied mathematics and have a strong interest in the application of machine learning techniques to such problems. Strong programming skills are essential. Familiarity with parallel computing on large-scale computer clusters is also a plus.
What You Need
Minimum Job Requirements:
Research-level expertise in applied math or computational physics
Demonstrated ability to publish research in top peer-reviewed journals or conference proceeding
Strong programming skills
Background or research-level expertise in machine learning, high-performance computing and analysis of experimental data
Willingness to work in interdisciplinary project teams and learn about other ﬁelds
Education: A PhD in Computer Science, Mathematics, or related ﬁeld completed within the past ﬁve years or soon to be completed
Notes to Applicants: In addition to applying on‐line, interested candidates should send their academic style CV including a brief description of their research interests to Garrett T. Kenyon at firstname.lastname@example.org.
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.
Candidates may be considered for a Director's Postdoc Fellowship and outstanding candidates may be considered for the prestigious Richard P. Feynman, Darleane Christian Hoffman, J. Robert Oppenheimer, or Frederick Reines Distinguished Postdoc Fellowships.
For general information go to Postdoc Program.
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 email@example.com or call 1-505-665-4444 option 1.
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.
The Computer, Computational, and Statistical Sciences (CCS) Division is a vibrant scientific research and development organization working in multiple mission areas of Los Alamos National Laboratory, including information science and technology, basic science and technology research programs, computing programs, and energy and climate programs. The division is comprised of scientists (85% PhD) focused on impactful research and development in fundamental computer science, computational physics, high-performance computing, statistics, and applied mathematics. CCS Division bridges the computational sciences that are central to scientiﬁc discovery and innovation with external partners and laboratory programs to solve complex and fundamental problems ranging from metagenomics to nuclear energy.
Location: Los Alamos, NM, US
Organization Name: CCS-3/Information Sciences
Job Title: Machine Learning Applied to the Analysis of Physical Simulations and Associated Experimental Data Postdoc
Appointment Type: Postdoc
Req ID: IRC63758