Post-doctoral Researcher – Statistical Learning and Modeling

atAdvanced Energy Systems - Colorado School of Mines & NLRRemoteUS flagColoradoFull-timeUncategorizedMid-levelSenior$76.6k – $126.4k/year

Posted Aug 6

This is a fully remote position, open to applicants in Colorado.

πŸ“‹ Description

β€’ Create statistical and machine learning methodologies along with the necessary software to analyze, model, and integrate various information sources.

β€’ Analyze disruptive incidents and their effects on infrastructure, including power grids.

β€’ Assess and convey research findings through comprehensive reports and presentations.

β€’ Engage in group discussions and seminars.

β€’ Support the engineering and development of statistical and deep learning software.

β€’ Perform statistical and probabilistic data evaluations.

β€’ Design algorithms and contribute to scholarly publications.

β€’ Prepare and disseminate technical documentation, conference papers, and journal articles.

β€’ Attend and showcase research findings at technical conferences.

β€’ Work collaboratively with multidisciplinary research teams across industry, academia, and other national laboratories.


⛳️ Requirements

β€’ Recent PhD graduate within the past three years.

β€’ Ph.D. in Statistics, Applied Mathematics, or Data Science.

β€’ Educational qualifications must be fulfilled prior to the employment start date.

β€’ Proven experience in developing statistical methods, encompassing theoretical foundations, modeling, and computational aspects.

β€’ Proven experience in creating methods for dimension reduction and uncertainty quantification.

β€’ Proven experience using deep learning frameworks like PyTorch.

β€’ Proven experience managing scientific datasets, including computer model simulations and observational data.

β€’ Exceptional verbal and written communication skills in a scientific context.

β€’ Proven experience in working with interdisciplinary teams.

β€’ Proven programming experience in Python and R.

β€’ Familiarity with version control software.

β€’ Proven experience in collaborative project work.

β€’ Self-driven and capable of independent thought.

β€’ Must be able to secure and keep a federal Personal Identity Verification (PIV) card.

β€’ Must successfully complete a background investigation.

β€’ Must pass a pre-employment drug screening.

β€’ Must be authorized to access the NLR facility under DOE regulations.

β€’ Must obtain work authorization and DOE access approval.

β€’ Employees of DOE contractors may be restricted from participating in certain Foreign Government Talent Recruitment Programs.


🏝️ Benefits

β€’ Medical, dental, and vision insurance.

β€’ Short-term disability insurance.

β€’ Pension benefits.

β€’ 403(b) Employee Savings Plan with employer matching.

β€’ Life and accidental death and dismemberment (AD&D) insurance.

β€’ Personal time off (PTO) and sick leave.

β€’ Paid holidays.

β€’ Performance-, merit-, and achievement-based awards with a potential monetary component may be available.

β€’ Relocation expense reimbursement may be offered.

β€’ Comprehensive professional development opportunities.

β€’ Competitive benefits package.

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