Quantum annealing is considered as one of the promising exascale and “beyond Moore’s law” computing technologies. Quantum annealers such as LANL’s D-Wave 2X are designed to natively propose solutions for optimization problems that are known to be challenging for classical computers.
Preliminary knowledge about quantum physics or quantum computing is not a requirement for this position, but strong combinatorial algorithm design and implementation skills are essential.
What You Need
· A PhD in Computer Science, Mathematics, or related field within the past five years or soon to be completed
· Research-level expertise in at least one of the following: combinatorial optimization, graph algorithms
· Demonstrated ability to publish research in top peer-reviewed journals or conference proceeding
· Strong programming skills
Desired Skills:
· Background or research-level expertise in as many of the following: quantum computing, high-performance computing, algorithm engineering
· Willingness to work in interdisciplinary project teams and learn about other fields
Education: PhD in 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 Hristo Djidjev at djidjev@lanl.gov.
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.
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.
Candidates may be considered for a Director's Fellowship and outstanding candidates may be considered for the prestigious Marie Curie, Richard P. Feynman, J. Robert Oppenheimer, or Frederick Reines Fellowships.
For general information go to Postdoc Program.
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.
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