Job Location: Richland, WA
Post Doctorate RA Data Sciences & Machine Intelligence
- Richland, Washington
- Software and Computing Systems
- Temporary Full-Time
- Yes
- 04/28/2022
- 3756
Job Description
Overview
The Data Sciences & Machine Intelligence group in the Advanced Computing, Mathematics, and Data Division at PNNL seeks a dynamic Post-Doctoral Data Scientist to join the group to lead and support scientific research in the general areas of data science, artificial intelligence, graph neural networks, data analytics, machine learning and natural language processing with a focus on scientific computing and data analytics applications. 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 primary emphasis of this position will be growing existing and crafting new capabilities in broad areas of data and graph analytics such as: (i) graph machine learning combined with deep reinforcement learning; (ii) uncertainty quantification and propagation in GNNs; and (iii) applications of graph machine learning in domains such as computational chemistry, life sciences and social network analysis.
Responsibilities
Design, develop, and implement methods, processes, and systems to analyze diverse data from scientific computing application domains of national interest.
Apply knowledge of graph neural networks, reinforcement learning, uncertainty quantification, natural language processing, data analytics, and machine learning to integrate and clean data, recognize patterns, pose questions, and/or make discoveries from structured and/or unstructured data, primarily in scientific computing, but generalizable to other domains.
Develop and maintain high quality software for machine learning projects
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.
Apply knowledge of graph neural networks, reinforcement learning, uncertainty quantification, natural language processing, data analytics, and machine learning to integrate and clean data, recognize patterns, pose questions, and/or make discoveries from structured and/or unstructured data, primarily in scientific computing, but generalizable to other domains.
Develop and maintain high quality software for machine learning projects
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:
- Proficiency in Python and familiarity with publicly available technical libraries for data analytics (e.g. scikit-learn), deep learning (e.g. Pytorch, Tensorflow) and optimization tools.
- Proactive, highly motivated self-starter with demonstrated experience with contributing and leading tasks on projects with multi-disciplinary teams.
- Demonstrated ability to develop approaches and solutions to complex problems in the forms of proposals, software, documents or other work products.
- Ph.D. in Computer Science, Data Science, Applied Mathematics, Computer Engineering, or a closely related technical area.
- Peer-reviewed publication record in Data Sciences, Machine Learning or a closely related area
Hazardous Working Conditions/Environment
Not applicable
Additional Information
Not applicable
Testing Designated Position
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 hr@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.
Mandatory Requirements
Battelle requires employees to have a COVID-19 vaccine as a condition of employment, subject to accommodation. Applicants are required to disclose their vaccination status following a conditional offer of employment and must attest to being fully vaccinated with a Center for Disease Control (CDC)-approved COVID-19 vaccination, or provide documentation of need for medical or religious exemption from the COVID-19 vaccination requirement.
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