AIRO Young Opportunity

Expires
31 Oct 2017
Institution
Los Alamos National Laboratories
Country
United States
Description
The Information Sciences group at the Los Alamos National Laboratory has an opening at a postdoctoral level in the area of combinatorial optimization. The selected candidates will be given the opportunity to work with one of the only four commercially available quantum annealing computers worldwide, D-Wave 2X, with more than 1000 qubits. Typical tasks involve formulating an NP-hard optimization problem as a quadratic unconstraint binary optimization (QUBO) problem and designing methods for improving quantum annealing scalability and accuracy.

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.

The successful applicant should have a strong publication record and will be expected to publish results in high impact peer-reviewed journals and conferences. This is a long-term appointment (up to three years), so candidates who can commit to a longer time frame will be preferred. However, candidates available for shorter periods may be considered for internships.

Qualifications:

(1) A PhD in Computer Science, Mathematics, or related field within the past five years or soon to be completed
(2) Research-level expertise in at least one of the following: combinatorial optimization, graph algorithms
(3) Demonstrated ability to publish research in peer-reviewed journals or conference proceedings
(4) Strong programming skills

Applications received before October 31, 2017 will receive a full consideration.

US citizenship is NOT required for this position.

For informal inquiries, you can contact Hristo Djidjev, djidjev@lanl.gov.