Post Doctorate RA - Artificial Intelligence & Data

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 Sciences & Machine Intelligence group in the Advanced Computing, Mathematics, and Data Division at PNNL seeks a multifaceted Post Doctorate RA Data Scientist to join the group to lead and support research in scientific machine learning, data-driven control, and robotics. This is an excellent opportunity to hone and develop a scientific career in an outstanding research institution by joining an interdisciplinary research team that focuses on accelerating scientific discovery. The candidate must be adept at collaborating with interdisciplinary technical teams through strong communication and interpersonal skills.

• Develop novel scientific machine learning methods for a wide range of applications in sustainable energy and robotics.

• Develop and maintain high quality software for scientific machine learning projects.

• Publish the research in high impact journals and scientific conferences.

• Lead and contribute to the publication and presentation of results in high impact scientific computing journals and conferences, and sponsoring agencies.

• Mentor and train graduate and undergraduate interns.

Qualifications

Minimum Qualifications

• Candidates must have received a PhD within the past five years (60 months) or within the next 8 months from an accredited college or university.

Preferred Qualifications

• Ph.D. in Computer Science, Data Science, Applied Mathematics, Computer Engineering, or a closely related technical area.

• Strong skills in selected areas of applied mathematics (e.g., dynamical systems, control theory, constrained optimization, or machine learning theory).

• Proficiency in Python language and data science packages (e.g., Numpy, SciPy, Matplotlib).

• Proficiency in modern machine learning libraries (e.g., Pytorch, Tensorflow, JAX).

• Experience with modern scientific machine learning methods (e.g., neural operators, physics-informed neural networks, learning to optimize, learning to control).

• Proficiency with software version control systems (Git).

• Publications in scientific conferences such as NeurIPS, ICML, ICLR, AAAI, CDC, IROS, and journals such as Automatica, IEEE Transactions, and Journal of Machine Learning Research.

• Experience with Robot Operating System (ROS).

• Expertise with a broader range of programming languages is a plus (e.g., C/C++, JavaScript).

• Experience with constrained optimization tools (e.g., CasADi, CVXPY, JuMP).

Hazardous Working Conditions/Environment

Not applicable

Additional Information

Not applicable

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 ~~~ .

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.

If you are offered employment at PNNL, you must pass a drug test prior to commencing employment. PNNL complies with federal law regarding illegal drug use. Under federal law, marijuana remains an illegal drug. If you test positive for any illegal controlled substance, including marijuana, your offer of employment will be withdrawn.

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

Employees and their families are offered medical insurance, dental insurance, vision insurance, health savings account, flexible spending accounts, basic life insurance, disability insurance, employee assistance program, business travel insurance, tuition assistance, supplemental parental bonding leave, surrogacy and adoption assistance, and fertility support. Employees are automatically enrolled in our company funded pension plan and may enroll in our 401k savings plan. Employees may accrue up to 120 vacation hours per year and may receive ten paid holidays per year.

• Research Associates excluded.

**Once eligibility requirements are met.

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