Post-doctoral Researcher - Statistical Learning and Modeling

National Renewable Energy Laboratory; Golden (CO); On-site; USD 77,000 - 126,000; Full time

Job summary

The National Renewable Energy Laboratory in Golden, CO invites applications for a Postdoctoral Researcher to pursue cross-disciplinary research in statistical modeling, with emphasis on combining statistics and deep learning.

The successful candidate will develop statistical and machine learning techniques, handle large datasets and assess disruptive events impacting power grids, and contribute to reports, papers, and software.

Qualifications

• PhD in Statistics, Applied Mathematics or Data Science.
• Recent PhD graduate within the last three years.
• Experience with developing statistical methods, theory, modeling, and computational aspects.
• Experience with dimension reduction and uncertainty quantification.
• Experience using deep learning software (PyTorch).
• Experience handling scientific datasets (e.g., computer model simulations, observational data).
• Excellent verbal and written scientific communication skills.
• Experience working with interdisciplinary teams.
• Programming experience in Python and R and version control.

Responsibilities

• Develop statistical and machine learning techniques and software to characterize, model and fuse multiple information sources.
• Focus on disruptive events and their impacts on infrastructures such as power grids.
• Evaluate and communicate results through written reports and presentations, and assist in engineering and writing software.
• Draft and publish technical reports, conference papers, and journal publications.

Skills

Statistics

Python

R

Deep Learning (PyTorch)

Dimension Reduction

Uncertainty Quantification

Scientific Datasets Handling

Communication

Interdisciplinary Collaboration

Education

PhD in Statistics, Applied Mathematics or Data Science

Tools

PyTorch

Python

R

Git

Job description

Posting TitlePost-doctoral Researcher - Statistical Learning and Modeling.LocationCO - Golden.Position TypePostdoc (Fixed Term).Hours Per Week40.Working at NLRNLR is located at the foothills of the Rocky Mountains in Golden, Colorado is the nation's primary laboratory for energy systems research and development.Join the National Laboratory of the Rockies (NLR), where world-class scientists, engineers, and experts are accelerating energy innovation through breakthrough research and systems integration. From our mission to our collaborative culture, NLR stands out in the research community for its commitment to an affordable and secure energy future. Spanning foundational science to applied systems engineering and analysis, we focus on solving complex challenges to deliver advanced, secure, reliable, and cost-effective energy solutions. Our work helps strengthen U.S. industries, support job creation, and promote national economic growth.At NLR, you'll find a mission-driven environment supported by state-of-the-art facilities, multidisciplinary research teams, and strong collaborations with industry, academia, and other national laboratories. We offer robust professional development opportunities, and a competitive benefits package designed to support your career and well-being.Job DescriptionThe Artificial Intelligence, Learning, and Intelligent Systems group in NLR’s Computational Science Center has an immediate opening for a Postdoctoral Researcher to pursue a cross-disciplinary research project in statistical modeling with an emphasis o n combining statistics and deep learning .The candidate will develop statistical and machine learning techniques along with associated software to characterize , model and fuse multiple sources of information. In particular, the candidate will focus on disruptive events and characterize their impacts on infrastructures such as power grids. The successful candidate will be challenged by large datasets, complex interactions of extremes and highly non-linear phenomena.The candidate will evaluate and communicate results through written research reports and presentation s , participate in group meetings and seminars, and assist in engineering and writing statistics and deep learning software, statistical and probabilistic data analysis of results, algorithm design, and publication development.The candidate will help draft and publish technical reports, conference paper s , and journal publications describing the research and is expected to attend and present at technical conferences..Basic QualificationsMust be a recent PhD graduate within the last three years.* Must meet educational requirements prior to employment start date.Additional Required QualificationsPh.D. in Statistics, Applied Mathematics or Data Science.Demonstrated experience with developing statistical methods, including theoretical foundations, modeling, and computational aspectsDemonstrated experience with developing methods for dimension reduction and uncertainty quantification)Demonstrated experience with using deep learning software e.g. pyTorch.Demonstrated experience with handling scientific datasets, eg computer model simulations, observational dataExcellent verbal and written scientific comminution skills.Demonstrated experience working with interdisciplinary teamsDemonstrated programming experience (python, R) and version control softwarePreferred QualificationsDemonstrated experience working on collaborative projectsSelf-motivated and independent thinker.Job Application Submission WindowThe anticipated closing window for application submission is up to 30 days and may be extended as needed.Annual Salary Range (based on full-time 40 hours per week)Job Profile: Postdoctoral Researcher / Annual Salary Range: $76,600 - $126,400NLR takes into consideration a candidate’s education, training, and experience, expected quality and quantity of work, required travel (if any), external market and internal value, including seniority and merit systems, and internal pay alignment when determining the salary level for potential new employees. In compliance with the Colorado Equal Pay for Equal Work Act, a potential new employee’s salary history will not be used in compensation decisions.Benefits SummaryBenefits include medical, dental, and vision insurance; short-term disability insurance*; pension benefits*; 403(b) Employee Savings Plan with employer match*; life and accidental death and dismemberment (AD&D) insurance; personal time off (PTO) and sick leave; and paid holidays. NLR employees may be eligible for, but are not guaranteed, performance-, merit-, and achievement- based awards that include a monetary component. Some positions may be eligible for relocation expense reimbursement.* Based on eligibility rulesBadging RequirementNLR is subject to Department of Energy (DOE) access restrictions. All employees must also be able to obtain and maintain a federal Personal Identity Verification (PIV) card as required by Homeland Security Presidential Directive 12 (HSPD-12), which includes a favorable background investigation.Drug Free WorkplaceNLR is committed to maintaining a drug-free workplace in accordance with the federal Drug-Free Workplace Act and complies with federal laws prohibiting the possession and use of illegal drugs. Under federal law, marijuana remains an illegal drug.If you are offered employment at NLR, you must pass a pre-employment drug test prior to commencing employment. Unless prohibited by state or local law, the pre-employment drug test will include marijuana. If you test positive on the pre-employment drug test, your offer of employment may be withdrawn.Submission GuidelinesPlease note that in order to be considered an applicant for any position at NLR you must submit an application form for each position for which you believe you are qualified. Applications are not kept on file for future positions. Please include a cover letter and resume with each position application..Equal Opportunity EmployerAll qualified applicants will receive consideration for employment without regard basis of age (40 and over), color, disability, gender identity, genetic information, marital status, domestic partner status, military or veteran status, national origin/ancestry, race, religion, creed, sex (including pregnancy, childbirth, breastfeeding), sexual orientation, and any other applicable status protected by federal, state, or local laws.Reasonable AccommodationsE -Verify www.dhs.gov/E-Verify For information about right to workE-Verify is a registered trademark of the U.S. Department of Homeland Security. This business uses E-Verify in its hiring practices to achieve a lawful workforce.