Los Alamos National Laboratory

Position ID:

2687-SNNDPRA [#27263]

Position Title:

Sparse Neural Network Design Postdoctoral Research Associate

Position Type:

Other

Position Location:

Los Alamos, New Mexico, United States of America

Appl Deadline:

none (posted 2025/10/06)

Position Description:

Sparse Neural Network Design Postdoctoral Research Associate Los Alamos National Laboratory Los Alamos, New Mexico

Los Alamos National Laboratory (LANL) is a multidisciplinary research institution engaged in science and engineering on behalf of national security. The Applied Computer Science Group (CAI-1) in the Computing and AI Division at Los Alamos National Laboratory is seeking highly motivated Postdoctoral Research Associates to drive the research and development of novel sparse neural networks. This position is for a two-year term with the potential for impactful contributions to basic and applied neural network research.

You will: • Hand write custom sparse neural networks from scratch and perform computational experiments designed by mathematicians on the team • Interface with mathematicians and applied computer scientists to demonstrate the viability of novel neural networks on challenging benchmark datasets/problems using cutting-edge, high-performance computing platforms • Have opportunities to publish in leading peer-reviewed journals, present research at conferences, and visit academic collaborators at CU Boulder and Boston University

Qualifications: • Ph.D. in Mathematics, Computer Science, Statistics, or closely related field (earned within the last five years preferred) • Demonstrated research excellence, as evidenced by a strong publication record in one or more of the following areas: random matrix theory, stochastic processes, neural networks, machine learning, and sparse data structures • Proficiency in scientific programming, preferably Python or C/C++ • Strong written and oral communication skills Desired Qualifications: • Familiar with mathematical and coding aspects of neural networks • Contributions to prominent open-source machine learning software projects, experience performing code reviews, and experience working in a team software development setting • Evidence of competitive excellence in machine learning (i.e., Kaggle competition rankings) and/or mathematics

We Are Delivering Scientific Excellence Los Alamos National Laboratory is more than a place to work. It is a catalyst for discovery, innovation and achievement. It’s one of the reasons we attract world-class talent who contribute greatly to our outstanding culture. Professional development, work/life balance and a diverse and inclusive team foster lasting career satisfaction. Our onsite cafeterias and medical, fitness and breastfeeding facilities, education assistance and generous compensation and benefits reflect our commitment to providing our people with all they need for personal and professional growth. Northern New Mexico offers an abundance of wildlife, culture and adventures, including hiking trails and nearby ski resorts. Learn why Los Alamos has been rated #3 in the Best Counties to Live in the USA.

Apply Now https://lanl.jobs/search/jobdetails/sparse-neural-network-design-post-doctoral-research-associates/e80bfca8-271e-4be8-b205-e1dbffcf33d5

(IRC140453)

lanl.gov/careers Los Alamos National Laboratory is an equal opportunity employer. All employment practices are based on qualification and merit, without regard to protected categories such as race, color, national origin, ancestry, religion, age, sex, gender identity, sexual orientation, 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 applicable federal, state and local 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 a disability accommodation, email applyhelp@lanl.gov or call (505) 664-6947, opt. 3.

We are not accepting applications for this job through MathJobs.Org right now. Please apply at https://lanl.jobs/search/jobdetails/sparse-neural-network-design-post-doctoral-research-associates/e80bfca8-271e-4be8-b205-e1dbffcf33d5 .

Postal Mail:

: PO Box 1663
Los Alamos, NM 78229

Web Page: lanl.gov/careers