Overview

The Physical and Computational Sciences Directorate (PCSD) researchers lead major R&D efforts in experimental and theoretical interfacial chemistry, chemical analysis, high energy physics, interfacial catalysis, multifunctional materials, and integrated high-performance and data-intensive computing.

PCSD is PNNL’s primary steward for research supported by the Department of Energy’s Offices of Basic Energy Sciences, Advanced Scientific Computing Research, and Nuclear Physics, all within the Department of Energy's Office of Science.

Additionally, Directorate staff perform research and development for private industry and other government agencies, such as the Department of Defense and NASA. The Directorate's researchers are members of interdisciplinary teams tackling challenges of national importance that cut across all missions of the Department of Energy.

Responsibilities

The Data Science and Machine Intelligence Group is seeking multiple PhD Interns in the broader area of scientific machine learning. The candidate should have experience with or interest in software development and management of scientific data in accordance with the FAIR principles. The candidate will contribute to the research and software development in the field of scientific machine learning. The emphasis will be given to design and implementation of novel scientific machine learning methods for constrained optimization, dynamical systems, and controls with a range of applications in the energy sector. The candidate must be adept at collaborating with interdisciplinary technical teams through strong communication and interpersonal skills.

• Mathematical modeling

• Algorithms to solve complex problems

• Detailed mathematical analysis of variable relationships

• Parallel graph algorithms

• Applies mathematical principles to identify trends in data sets

Qualifications

Minimum Qualifications:

• Candidates must be currently enrolled/matriculated in a PhD program at an accredited college

• Minimum GPA of 3.0 is required

Preferred Qualifications:

• Degree in computer science or engineering

• Strong skills in selected areas of applied mathematics (e.g., linear algebra, dynamical systems, control theory, operations research, machine learning theory)

• Experience with modern scientific machine learning methods (e.g., Neural ODEs, PINNs, neural operators, learning to optimize, learning to control, graph neural networks)

• Proficiency in Python language (e.g., Numpy, Pandas, SciPy, Matplotlib)

• Proficiency in modern machine learning libraries (such as Pytorch or Tensorflow)

• Familiarity with constrained optimization tools (e.g., CVXPY, JuMP, Gurobi, CPLEX)

• Experience with bash and Slurm Workload Manager

• Publication record in scientific conferences such as NeurIPS, ICML, ICLR, AAAI, ACC, CDC, or IROS

Hazardous Working Conditions/Environment

Not applicable

Additional Information

Not applicable

Testing Designated Position

This is not a Testing Designated Position (TDP)

About PNNL

Pacific Northwest National Laboratory (PNNL) is a world-class research institution powered by a highly educated, diverse workforce committed to the values of Integrity, Creativity, Collaboration, Impact, and Courage. Every year, scores of dynamic, driven people come to PNNL to work with renowned researchers on meaningful science, innovations and outcomes for the U.S. Department of Energy and other sponsors; here is your chance to be one of them!

At PNNL, you will find an exciting research environment and excellent benefits including health insurance, flexible work schedules and telework options. PNNL is located in eastern Washington State—the dry side of Washington known for its stellar outdoor recreation and affordable cost of living. The Lab’s campus is only a 45-minute flight (or 3 hour drive) from Seattle or Portland, and is serviced by the convenient PSC airport, connected to 8 major hubs.

Commitment to Excellence, Diversity, Equity, Inclusion, and Equal Employment Opportunity

Our laboratory is committed to a diverse and inclusive work environment dedicated to solving critical challenges in fundamental sciences, national security, and energy resiliency. We are proud to be an Equal Employment Opportunity and Affirmative Action employer. In support of this commitment, we encourage people of all racial/ethnic identities, women, veterans, and individuals with disabilities to apply for employment.

Pacific Northwest National Laboratory considers all applicants for employment without regard to race, religion, color, sex (including pregnancy, sexual orientation, and gender identity), national origin, age, disability, genetic information (including family medical history), protected veteran status, and any other status or characteristic protected by federal, state, and/or local laws.

We are committed to providing reasonable accommodations for individuals with disabilities and disabled veterans in our job application procedures and in employment. If you need assistance or an accommodation due to a disability, contact us at careers@pnnl.gov .

Drug Free Workplace

PNNL is committed to a drug-free workplace supported by Workplace Substance Abuse Program (WSAP) and complies with federal laws prohibiting the possession and use of illegal drugs.

HSPD-12 PIV Credential Requirement

In accordance with Homeland Security Presidential Directive 12 (HSPD-12) and Department of Energy (DOE) Order 473.1A, new employees are required to obtain and maintain a HSPD-12 Personal Identity Verification (PIV) Credential. To obtain this credential, new employees must successfully complete and pass a Federal Tier 1 background check investigation. This investigation includes a declaration of illegal drug activities, including use, supply, possession, or manufacture within the last year. This includes marijuana and cannabis derivatives, which are still considered illegal under federal law, regardless of state laws.

Mandatory Requirements

Please be aware that the Department of Energy (DOE) prohibits DOE employees and contractors from having any affiliation with the foreign government of a country DOE has identified as a “country of risk” without explicit approval by DOE and Battelle. If you are offered a position at PNNL and currently have any affiliation with the government of one of these countries, you will be required to disclose this information and recuse yourself of that affiliation or receive approval from DOE and Battelle prior to your first day of employment.

Rockstar Rewards

Regular Hourly:

Employees are offered an employee assistance program and business travel insurance. Employees are eligible for the company funded pension plan and 401k savings plan, once eligibility requirements are met.

Temporary Hourly:

Employees are offered an employee assistance program and business travel insurance.

Click Here For Rockstar Rewards (https://careers.pnnl.gov/rockstar-rewards)

Minimum Salary

USD $22.93/Hr.

Maximum Salary

USD $35.00/Hr.