Post Bachelors Research Associate - Applied Mathematics

** Overview*
* At PNNL, our core capabilities are divided among major departments that we refer to as Directorates within the Lab, focused on a specific area of scientific research or other function, with its own leadership team and dedicated budget.

Our Science & Technology directorates include National Security, Earth and Biological Sciences, Physical and Computational Sciences, and Energy and Environment. In addition, we have an Environmental Molecular Sciences Laboratory, a Department of Energy, Office of Science user facility housed on the PNNL campus.

The Physical and Computational Sciences Directorate's (PCSD's) strengths in experimental, computational, and theoretical chemistry and materials science, together with our advanced computing, applied mathematics and data science capabilities, are central to the discovery mission we embrace  our most important resource is our people-experts across the range of scientific disciplines who team together to take on the biggest scientific challenges of our time. 

The Physical and Computational Sciences Directorate's (PCSD's) strengths in experimental, computational, and theoretical chemistry and materials science, together with our advanced computing, applied mathematics and data science capabilities, are central to the discovery mission we embrace  our most important resource is our people-experts across the range of scientific disciplines who team together to take on the biggest scientific challenges of our time. 

The Advanced Computing, Mathematics, and Data Division (ACMDD) focuses on basic and applied computing research encompassing artificial intelligence, applied mathematics, computing technologies, and data and computational engineering. Our scientists and engineers apply end-to-end co-design principles to advance future energy-efficient computing systems and design the next generation of algorithms to analyze, model, understand, and control the behavior of complex systems in science, energy, and national security.

** Responsibilities*
* Contribute to PNNL's goals in modeling and simulation of complex systems as part of the Laboratory's Computational Mathematics Group of the Advanced Computing, Mathematics, and Data Division (ACMDD).

+ Develop scientific machine learning algorithms for modeling complex systems, especially involving systems of ordinary and partial differential equations.

+ Interact, communicate, and solve problems with a diverse team of applied mathematics, computational science, and experimental research staff within the ACMDD group and across PNNL.

+ Publish your results in high-quality, peer-reviewed journals.

+ Present your research at technical conferences and project and program review meetings.

** This is a limited-term position with an anticipated duration of one year.*
* ** Qualifications*
* Minimum Qualifications:

+ Candidates must have received a Bachelor's degree within the past 24 months or within the next 8 months from an accredited college or university.

Preferred Qualifications:

+ Bachelor's degree in applied mathematics with experience in scientific machine learning.

+ Internship experience at a national laboratory.

** Hazardous Working Conditions/Environment*
* 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,…