Post-doctoral Researcher - Statistical Learning and Modeling

The National Renewable Energy Laboratory (NREL)

$76K — $126K *
US-AnywhereRemote in Golden, CO
Education, Government & Non-Profit
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Recent PhD graduate within the last three years.
  • Ph.D. in Statistics, Applied Mathematics, or Data Science.
  • Experience in developing statistical methods and handling scientific datasets.
  • Proficient in deep learning software like PyTorch and programming (Python, R).
  • Strong communication skills, both verbal and written.
  • Experience working in interdisciplinary teams.

Responsibilities

  • Develop statistical and machine learning techniques for large datasets.
  • Model and analyze impacts of disruptive events on infrastructures.
  • Draft technical reports, conference papers, and journal publications.
  • Present research findings at technical conferences.
  • Assist in writing software for statistical and deep learning applications.
  • Participate in group meetings and seminars.
  • Conduct statistical and probabilistic data analysis.

Benefits

  • Medical, dental, and vision insurance.
  • Short-term disability insurance.
  • Pension benefits and 403(b) Employee Savings Plan with employer match.
  • Life and accidental death and dismemberment insurance.
  • Personal time off (PTO) and sick leave, along with paid holidays.
  • Potential eligibility for performance-based awards and relocation reimbursement.
Full Job Description
Posting Title
Post-doctoral Researcher - Statistical Learning and Modeling

Location
CO - Golden

Position Type
Postdoc (Fixed Term)

Hours Per Week
40

Job Description

The Artificial Intelligence, Learning, and Intelligent Systemsgroup 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.

Basic Qualifications
Must be a recent PhD graduate within the last three years.

* Must meet educational requirements prior to employment start date.

Additional Required Qualifications

Ph.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


Preferred Qualifications
  • Demonstrated experience working on collaborative projects
  • Self-motivated and independent thinker


Job Application Submission Window

The 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 - $126,400

NLR 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 Summary
Benefits 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 Requirement
NLR 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.

Submission Guidelines

Please 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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