Theoretical Quantum Computing and Quantum Machine Learning Postdoc in Los Alamos, New Mexico
What You Will Do
The Condensed Matter and Complex Systems Group in the Theoretical Division of Los Alamos National Laboratory (LANL) has a postdoctoral position opening in the area of quantum computing
and quantum machine learning. This position provides an opportunity to develop novel quantum algorithms (including noise-resilient algorithms) and generally answer the fundamental question: what are quantum computers good for? The postdoctoral project will
also explore the emerging field of quantum machine learning. This includes developing machine-learning techniques for evolving quantum algorithms (e.g., see
https://arxiv.org/abs/1803.04114), as well as investigating the computing power of quantum neurons and quantum neural networks.
What You Need
Qualifications:Theoretical expertise in quantum computing is required, and some familiarity with machine-learning concepts is desired. We welcome candidates with a variety of technical
backgrounds. The prospective candidate must have completed a PhD program (within the last 5 years) in theoretical work related to quantum computing, quantum information, quantum physics, machine learning, or computer science. The ability to work creatively
and independently, as a part of a diverse team, is important. Strong communication and language skills, as evidenced by publications and cover letter, are required.
Notes to Applicants: Review of applications will begin immediately and will continue until the position is filled.Please apply for this position online, and also send a curriculum
vitae (including a publication list, research interests, and the names of three references) to:
Dr. Patrick Coles
Theoretical Division, Los Alamos National Laboratory
Email:
pcoles@lanl.gov
Tel: +1-505-667-5656
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.
The position has an initial appointment of two years. 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.
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.
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.
Location: Los Alamos, NM, US
Organization Name: T-4/Phys Of Condensed Matter & Complex Sys
Job Title: Theoretical Quantum Computing and Quantum Machine Learning Postdoc
Appointment Type: Postdoc
Req ID: IRC63557