Sparse Neural Network Design Post-Doctoral Research Associate; s

What You Will Do

The Applied Computer Science Group (CAI-1), within the Computing and AI Division (CAI), is seeking 1-2 highly motivated postdoctoral researchers to drive the research and development of novel sparse neural networks. The position(s) will be funded through the Department of Energy (DOE) Office of Science (SC) Advanced Scientific Computing Research (ASCR) program. The position is for a two-year term with the potential for impactful contributions to basic and applied neural network research.

The broader collaboration for this project includes mathematicians at CU Boulder and Boston University. As a postdoctoral researcher, 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 and present research at conferences, and to visit academic collaborators at CU Boulder and Boston University.

Minimum

Job Requirements:

• A Ph.D. in Mathematics, Computer Science, Statistics, or a closely related field, earned within the last 5 years.
• 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 in Python or C/C++.
• Strong communication skills, both written and oral, demonstrated through publications and the cover letter.

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 (e.g., Kaggle competition rankings) and/or mathematics.

The work location for this position is onsite and located in Los Alamos, NM

A Ph.D. in Mathematics, Computer Science, Statistics, or a closely related field, earned within the last 5 years.

For questions about this position, please contact Navamita Ray at nray or Tyler Reddy licants should include a curriculum vitae (CV), a cover letter describing research interests and career goals, and contact information for two references. Please submit application materials directly through the LANL jobs website.

Due to federal restrictions contained in the current National Defense Authorization Act, citizens of the People  Republic of China—including the special administrative regions of Hong Kong and Macau—as well as citizens of the Islamic Republic of Iran, the Democratic People  Republic of Korea (North Korea), and the Russian Federation, who are not Lawful Permanent Residents (green card holders) are prohibited from accessing facilities that support the mission, functions, and operations of national security laboratories and nuclear weapons production facilities, which includes Los Alamos National Laboratory.

Located in beautiful northern New Mexico, Los Alamos National Laboratory (LANL) is a multidisciplinary research institution engaged in strategic science on behalf of national security. Our benefits package includes:

• PPO or High Deductible medical insurance with the same large nationwide network
• Dental and vision insurance
• Free basic life and disability insurance
• Paid maternity and parental leave
• Award-winning 401(k) (6% matching plus 3.5% annually)
• Learning opportunities and tuition assistance
• Flexible schedules and time off (PTO and holidays)
• Onsite gyms and wellness programs
• Extensive relocation packages (outside a 50 mile radius)

Directive 206.2 - Employment with Triad requires a favorable decision by NNSA indicating the employee is suitable under NNSA Supplemental Directive 206.2. This requirement applies only to citizens of the United States. Foreign nationals…