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Pacific Northwest National Laboratory Post Doctorate RA - Data Science (Computational Topology) in SEATTLE, Washington

Organization and Job ID

Job ID: 311413

Directorate: National Security

Division: Computing & Analytics

Group:Data Sciences and Analytics

Job Description

Do you want to create a legacy of meaningful research for the greater good? Do you want to lead and contribute to work in support of an organization that addresses some of today’s most challenging problems that face our Nation? Do you want to work in a collaborative team-based environment? Then join us in the Data Sciences and Analytics Group at the Pacific Northwest National Laboratory (PNNL)!

For more than 50 years, PNNL has advanced the frontiers of science and engineering in the service of our nation and the world in the areas of energy, the environment and national security. PNNL is committed to advancing the state-of-the-art in artificial intelligence through applied machine learning and deep learning to support scientific discovery and our sponsors’ missions. Help us advance this frontier and protect our nation!

Data science at the Pacific Northwest National Laboratory (PNNL) addresses critical national and global issues by applying scientific and mathematical techniques to multiple data sources and communicating the finding to our sponsors and the academic community. Postdoctoral positions are available in the Data Sciences and Analytics Group at Pacific Northwest National Laboratory. At PNNL we seek to find solutions to national security problems using machine learning and deep learning. The appointment will be for one year, with the possibility of renewal.

We are looking for a motivated person with excellent skills in applied mathematics and computational topology with a willingness to grow their machine learning skill set. Familiarity with any of the specific mathematical fields of discrete mathematics, sheaf theory, or dynamical systems are preferred but not required. The candidate should have a PhD (or expect to have one for the starting date). Strong communication skills to successfully collaborate with the other members of the group, and a strong working knowledge of both oral and written English are required.

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

  • Effective written and oral communication is required

  • Strong interpersonal skills and the ability to collaborate effectively on diverse teams are required.

  • Programming proficiency in Python including familiarity with the packages SciKitTDA, NetworkX, NumPy, SciPy, and SkLearn.

  • Proven ability to work independently and to quickly adapt to new scientific environments

  • Ability to contribute that knowledge to the academic and research strength of PNNL and have experience writing scientific publications demonstrating their insight and discovery (e.g., publication in conferences such as ICML, ICMLA, CVPR, ICCV, ECCV, SOCG, SODA, and ATMCS is preferred)

Preferred Education/Credential

  • PhD in Mathematics or Applied Mathematics

  • Relevant coursework including topology, graph theory, programming (python specifically), discrete mathematics, and machine learning.

Equal Employment Opportunity

Battelle Memorial Institute (BMI) at Pacific Northwest National Laboratory (PNNL) is an Affirmative Action/Equal Opportunity Employer and supports diversity in the workplace. All employment decisions are made without regard to race, color, religion, sex, national origin, age, disability, veteran status, marital or family status, sexual orientation, gender identity, or genetic information. All BMI staff must be able to demonstrate the legal right to work in the United States. BMI is an E-Verify employer. Learn more at jobs.pnnl.gov.

Please be aware that the Department of Energy (DOE) prohibits DOE employees and contractors from participation in certain foreign government talent recruitment programs. If you are offered a position at PNNL and are currently a participant in a foreign government talent recruitment program you will be required to disclose this information before your first day of employment.

Directorate: National Security

Job Category: Post-Graduates and Post-Docs

Group: Data Sciences & Analytics

Opening Date: 2020-11-21

Closing Date: 2021-01-20

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