What You Will Do

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, energy and climate programs, and the nuclear weapons program. The division is comprised of scientists (85% PhD) focused on impactful research and development in fundamental computer science, computational physics, algorithms, 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.

The Information Sciences group (CCS-3) has an opening for a postdoctoral research associate in the area of machine learning and graph theory. Regular post-doctoral appointments at Los Alamos are for two years and are renewable for a third year. Selected candidates will participate in a multi-year multi-disciplinary project in high-performance simulation that uses dynamic graph modeling of physical processes. This position will require a balance between an independent work environment and also the communication skills to interact with a multidisciplinary, integrated team.  The successful applicant should have a strong publication record and will be expected to publish results in high impact peer-reviewed journals and present at well-known conferences. We are looking for a candidate with a strong background in as many of the following areas as possible: 

• Machine learning
• Graph theory and graph algorithms
• Data intensive computing
• High-performance computing
• Advanced programming skills

Minimum Job Requirements:

Desired Skills:

• Background or research-level expertise in as many of the following: dynamic graph algorithms, high-performance computing, discrete optimization, algorithm engineering, data-intensive computing

How to apply:

In addition to applying on‐line, interested candidates should send their academic style CV including a brief description of their research interests and a cover letter not exceeding one page describing their research experience and qualifications for the position advertised to Hristo Djidjev (djidjev@lanl.gov) and Gowri Srinivasan (gowri@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.

Additional Details:

No Clearance:  Position does not require a security clearance.  Selected candidates will be subject to drug testing and other pre-employment background checks.

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.