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Post Doctorate RA - Computational Mathematics
United States , Richland
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Posted: 2023-02-02
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Job Overview & Requirements
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Overview Contribute to PNNL’s goals in uncertainty quantification for complex systems as part of the Laboratory’s Computational Mathematics Group of the Advanced Computing, Mathematics, and Data Division (ACMDD). As a postdoctoral researcher, you’ll join a talented, diverse team to make a scientific impact in predicting and controlling the behavior of complex engineered and natural systems using advanced scientific machine learning and uncertainty quantification methods, large-scale data analysis, and mesoscale and multiscale modeling techniques. Senior Scientists will mentor you in the Computational Mathematics Group as you develop your expertise in scientific machine learning, uncertainty quantification, and stochastic ordinary and partial differential equations. Responsibilities The tasks that you will be performing are: Develop data- and physics-driven computational tools for parameter estimation and uncertainty quantification in complex systems governed by partial differential equations. Implement your algorithms using state-of-the-art high-performance computing and machine learning frameworks. 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. Participate in the development of research proposals. 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: Experience developing and using methods for uncertainty quantification and Bayesian inference for high-dimensional problems. Experience using machine learning methods, including but not limited to Gaussian Processes and Deep Neural Networks. Experience using high-performance computing and machine learning frameworks. Familiarity with model reduction methods and optimization algorithms. Strong verbal and written communications skills. Hazardous Working Conditions/Environment No special or hazardous working conditions or environment. 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 [email protected]. 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. Beginning 05/01/23, 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. 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. 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
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Job Summary
Category
Engineering
Country
United States
City
Richland
Employment Type
Full Time
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