Post-doctoral Researcher - Statistical Learning and Modeling

National Laboratory of the Rockies • Golden, CO

6d • Onsite

About The Position

The 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.

Requirements

• Must be a recent PhD graduate within the last three years.
• Must meet educational requirements prior to employment start date.
• 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 communication skills.
• Demonstrated experience working with interdisciplinary teams.
• Demonstrated programming experience (python, R) and version control software.

Nice To Haves

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

Responsibilities

• Develop statistical and machine learning techniques along with associated software to characterize, model and fuse multiple sources of information.
• Focus on disruptive events and characterize their impacts on infrastructures such as power grids.
• Evaluate and communicate results through written research reports and presentations.
• Participate in group meetings and seminars.
• Assist in engineering and writing statistics and deep learning software, statistical and probabilistic data analysis of results, algorithm design, and publication development.
• Help draft and publish technical reports, conference papers, and journal publications describing the research.
• Attend and present at technical conferences.

Benefits

• 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
• relocation expense reimbursement

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: Ph.D. or professional degree