Summer Intern - Scientific Machine Learning Masters Intern - Pacific Northwest National Laboratory

**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 Pacific Northwest National Laboratory (PNNL) seeks research data scientist interns with the focus on scientific machine learning and applications to dynamic systems and control. The candidate should have experience with or interest in scientific software development and management of scientific data in accordance with the FAIR principles. The emphasis will be given to modeling and control of dynamic systems such as wind power, energy systems in buildings, robotics, or science applications such as autonomous science labs. The successful candidates are also expected to help summarize the technical findings and contribute to peer-reviewed publications. The successful candidates will be collaborating on a multi-disciplinary technical team and must have strong communication and interpersonal skills. **Qualifications** Minimum Qualifications: + Candidates must be matriculated/enrolled in a Master's program at an accredited college or university. + Minimum GPA of 3.0 is required. Preferred Qualifications: + Strong skills in selected areas of applied mathematics (e.g., analysis, linear algebra, dynamical systems, modeling and simulation, control theory, graph theory, topology, operator theory). + Proficiency in Python language and data science packages (e.g., Numpy, Pandas, SciPy, Matplotlib). + Proficiency with software version control systems (such as Git). + Proficiency in modern machine learning libraries (such as Pytorch or Tensorflow) is a plus + Experience with modern scientific deep learning methods (e.g., Neural ODEs, Physics Informed Neural Networks, Operator networks, Hamiltonian and Lagrangian neural networks, Graph neural networks) is a plus. + Familiarity with constrained optimization tools (e.g. Gurobi, CPLEX) is a plus. + Experience with robotic systems engineering and control for robotics systems is a plus. + Experience with programming robots using ROS, and experience with robotics simulation environments (such as MuJoCo) is a plus. + Background in basic and applied energy sciences (e.g., computational physics, or computational chemistry, power systems) is a plus. + Experience with dynamic visualization of high-dimensional datasets is a plus. + Publication record in scientific conferences such as NeurIPS, ICML, ICLR, AAAI is a plus. + Undergraduate degree in Applied Mathematics, Data Science, Computational Physics, Computational Chemistry, Computational Engineering, Computer Science, or related fields. **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, and flexible work schedules. 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) **Notice to Applicants** PNNL lists the full pay range for the position in the job posting. Starting pay is calculated from the minimum of the pay range and actual placement in the range is determined based on an individual's relevant job-related skills, qualifications, and experience. This approach is applicable to all positions, with the exception of positions governed by collective bargaining agreements and certain limited-term positions which have specific pay rules. As part of our commitment to fair compensation practices, we do not ask for or consider current or past salaries in making compensation offers at hire. Instead, our compensation offers are determined by the specific requirements of the position, prevailing market trends, applicable collective bargaining agreements, pay equity for the position type, and individual qualifications and skills relevant to the performance of the position. **Minimum Salary** USD $20.38/Hr. **Maximum Salary** USD $30.57/Hr.