National Laboratory of the Rockies
Post-doctoral Researcher - Statistical Learning and Modeling
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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 on 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 presentations, 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 papers, and journal publications describing the research and is expected to attend and present at technical conferences.
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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 aspects
Demonstrated 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 data
Excellent verbal and written scientific comminution skills.
Demonstrated experience working with interdisciplinary teams
Demonstrated programming experience (python, R) and version control software
- Demonstrated experience working on collaborative projects
- Self-motivated and independent thinker
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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 rules
Badging 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.
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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 Accommodations
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