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Advanced Energy Systems - Colorado School of Mines & NLR

Post-doctoral Researcher – Statistical Learning and Modeling

Advanced Energy Systems - Colorado School of Mines & NLR

Postdoctoral researcher developing statistical and deep learning methods for NLR’s energy systems research. Modeling disruptive events and infrastructure impacts using scientific datasets and software.

Posted 8/5/2026full-timeRemote • Colorado • 🇺🇸 United StatesMid-LevelSenior💰 $76,600 - $126,400 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Expertise in developing statistical methods and machine learning techniques, with strong capabilities in data analysis, algorithm design, and scientific communication. Proficient in Python and R, with experience in deep learning software and collaborative research environments.

Highest-signal resume keywords
Ph.D. In Statistics, Applied Mathematics, Or Data ScienceStatistical Methods DevelopmentDeep Learning Software (PyTorch)Programming Experience In Python And RVersion Control Software

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Statistical AnalysisMachine Learning TechniquesAlgorithm DesignData AnalysisDimension ReductionUncertainty QuantificationComputational ModelingTechnical Report WritingScientific CommunicationResearch Presentation
Soft Skills
Excellent Verbal CommunicationExcellent Written CommunicationSelf-MotivatedIndependent ThinkerTeam Collaboration
Tools & Technologies
PyTorchVersion Control Software
Certifications & Qualifications
Ph.D. DegreeFederal Personal Identity Verification (PIV) Card
Industry Keywords
Statistical MethodsMachine LearningData ScienceInterdisciplinary TeamsScientific DatasetsComputer Model SimulationsObservational DataTechnical ConferencesDOE Access ApprovalBackground Investigation

Tech Stack

Tools & technologies
PythonPyTorch

About the role

Key responsibilities & impact
  • Develop statistical and machine learning techniques and associated software to characterize, model, and fuse multiple sources of information
  • Characterize disruptive events and their impacts on infrastructure such as power grids
  • Evaluate and communicate research results through written reports and presentations
  • Participate in group meetings and seminars
  • Assist in engineering and writing statistics and deep learning software
  • Conduct statistical and probabilistic data analysis
  • Design algorithms and develop publications
  • Draft and publish technical reports, conference papers, and journal publications
  • Attend and present research at technical conferences
  • Collaborate with multidisciplinary research teams, industry, academia, and other national laboratories

Requirements

What you’ll need
  • Recent PhD graduate within the last three years
  • Ph.D. in Statistics, Applied Mathematics, or Data Science
  • Must meet educational requirements before employment start date
  • Demonstrated experience developing statistical methods, including theoretical foundations, modeling, and computational aspects
  • Demonstrated experience developing methods for dimension reduction and uncertainty quantification
  • Demonstrated experience using deep learning software such as PyTorch
  • Demonstrated experience handling scientific datasets, including computer model simulations and observational data
  • Excellent verbal and written scientific communication skills
  • Demonstrated experience working with interdisciplinary teams
  • Demonstrated programming experience in Python and R
  • Experience with version control software
  • Demonstrated experience working on collaborative projects
  • Self-motivated and independent thinker
  • Must be able to obtain and maintain a federal Personal Identity Verification (PIV) card
  • Must pass a favorable background investigation
  • Must pass a pre-employment drug test
  • Must be authorized to access the NLR facility under DOE rules
  • Must be able to obtain work authorization and DOE access approval
  • DOE contractor employees may be prohibited from participating in certain Foreign Government Talent Recruitment Programs

Benefits

Comp & perks
  • 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
  • Paid holidays
  • Performance-, merit-, and achievement-based awards with a monetary component may be available
  • Relocation expense reimbursement may be available
  • Robust professional development opportunities
  • Competitive benefits package