Data Scientist - Robotics
- Richland, Washington
- Physical, Earth, and Biological Sciences
- Regular Full-Time
- No
- 04/01/2024
- 5:00PM PST
- 8684
- USD $109,400.00/Yr.
- USD $174,800.00/Yr.
Job Description
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 Data Scientist to join the group to lead and support scientific research in data science, machine intelligence, and autonomous learning and reasoning. This is an excellent opportunity to hone and develop your scientific career in an outstanding research institution by joining an interdisciplinary research team focusing on accelerating scientific discovery. The primary emphasis of this position will be growing existing and adding new capabilities in the areas of Optimization, Machine Learning and Artificial Intelligence and help strengthen the group’s leadership in the data science and machine intelligence fields. A successful candidate should have shown expertise in one or more of the following technical areas: design and integration of robotics systems, optimization and optimization-based decision-making, artificial intelligence and machine learning, autonomous control and decision systems, model predictive control, reinforcement learning algorithms, deploying machine learning using cloud and edge computing solutions, transformer architectures for time series analysis.
The candidate will contribute to software development and applied mathematics research in robotics for scientific applications such as autonomous laboratories. The emphasis will be given to modeling, simulation, system integration, and control of heterogeneous robotics systems and multiagent systems. The successful candidate is also expected to help summarize the technical findings and contribute to peer-reviewed publications. The candidate must be adept at collaborating with interdisciplinary technical teams through excellent communication and interpersonal skills.
- Design, develop, and implement methods, processes, and systems to analyze diverse data from several application domains of national interest.
- Design robotic systems, develop and implement software to control robots, create prototypes, and work on necessary components, design test environments, and develop and deploy machine learning-based methods on edge computing platforms.
- Apply optimization, artificial intelligence, statistics, machine learning, applied mathematics, simulation, software development, and data modeling knowledge to integrate and clean data, recognize patterns, address uncertainty, pose questions, and/or make discoveries from structured and/or unstructured data.
- Lead development and evaluation of predictive models and advanced algorithms for extracting maximum value from the data and exercising the ability to transfer skills across application domains.
- Produce solutions driven by exploratory data analysis from complex and high-dimensional datasets.
- Lead and contribute to publishing and presenting results in scientific computing journals and conferences and sponsoring agencies.
- Mentor and train undergraduate and graduate interns.
Qualifications
Minimum Qualifications:
- BS/BA and 2 years of relevant experience -OR-
- MS/MA -OR-
- PhD
Preferred Qualifications:
- Graduate degree in Data Science, Computer Science, Applied Mathematics, Computational Physics, Computational Engineering, or related fields.
- Experience in data analytics and data-driven modeling, particularly in applying machine/deep learning to robotics and scientific domains such as chemistry, biology, energy, and the environment.
- Experience with robotic systems engineering and control of robotics systems.
- Prior experience with programming robots using ROS, and experience with robotics simulation environments (such as MuJoCo).
- Proficiency in Python and/or Julia and familiarity with publicly available technical libraries for data analytics (e.g. SciPy, Numpy, Pandas, Scikit-learn), deep learning (e.g. Pytorch, Tensorflow) and optimization (e.g. Gurobi, CPLEX).
- Proficiency with software version control systems (such as Git).
- Prior experience of collaboration on multi-disciplinary teams.
- Ability to develop approaches and solutions to problems and engage with the technical community as demonstrated by peer reviewed articles, contributions to software, or other technical work products.
- Experience using machine learning in cloud environments (such as Google Cloud and AWS) is a plus.
- Expertise with a broader range of programming languages (e.g., C/C++, JavaScript) is a plus.
- Experience with dynamic visualization of high-dimensional datasets is a plus.
- Experience with modern scientific deep learning methods (e.g., Neural ODEs, PINNs, Operator networks, Hamiltonian and Lagrangian neural networks, Graph neural networks) is a plus.
- The ability to develop and evaluate integrated systems is a plus.
Hazardous Working Conditions/Environment
None
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.
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.
Click Here For Rockstar Rewards
Minimum Salary
USD $109,400.00/Yr.
Maximum Salary
USD $174,800.00/Yr.