Postdoctoral Scholar - Mines NIST PREP Lead Data Infrastructure Engineer

Colorado School of Mines

1d • $71,000 • Onsite

About The Position

Colorado School of Mines and the Statistical Engineering Division at the National Institute of Standards and Technology are seeking immediate applications for a post-doctoral position focusing on leading the development of scientific computing applications and tools. The tools will include both public-facing web infrastructure and code bases used by bench scientists for data collection and analysis. A primary focus will be establishing a central, high-resolution data repository for international clock and frequency standard measurements, providing essential data and collaborative infrastructure for the upcoming redefinition of the second. The Professional Research Experience Program (PREP) is a cooperative partnership between the National Institute of Standards and Technology (NIST) and Colorado School of Mines (Mines). Through PREP, Mines undergraduate and graduate students—as well as researchers holding a Bachelor’s, Master’s, or PhD—have the opportunity to conduct cutting-edge research in NIST laboratories while working closely with both NIST scientists and a Mines faculty advisor. This dual mentorship ensures participants gain not only hands-on technical expertise but also guidance in connecting their NIST research to Mines’ academic and professional pathways. All hires made through the NIST PREP program at Mines are employed by Colorado School of Mines.
Research Title: Postdoctoral Scholar / PREP0004023 / Lead Data Infrastructure Software Engineer
Research Location: In Boulder, CO at the NIST campus with the Applied and Computational Statistics Group in the Information Technology Lab and in Golden, CO on the campus of Colorado School of Mines

Requirements

• Doctoral degree in at least one of the following fields: computer science, systems engineering, statistics, physics, or a closely-related discipline
• Proven leadership in cross-disciplinary environments; able to guide collaborative teams and provide strong scientific communication.
• Experience in scientific computing, workflow development and data management.
• Applied machine learning / data science.
• Reproducible research and production/dissemination of archival datasets.
• Enthusiasm for learning about diverse measurement science techniques.
• US Citizen Preferred.

Responsibilities

• Leading the development of scientific computing applications and tools by partnering with domain experts, understanding the fundamental physics and meaning of the data, understanding stakeholder goals, and translating those goals into actionable software development plans and requirements.
• Guiding the creation and deployment of a data repository to store, maintain, and share results of interlaboratory measurements and analyses
• Guiding and performing the data curation and data engineering work to transform raw data into machine actionable datasets as guided by the FAIR data principles
• Managing and consolidating data streams originating from atomic clocks and the associated network components including, e.g., optical fiber links and optical frequency combs.
• Developing methodology for collating complex datasets involving multimodal data or heterogeneous processing pathways
• Guiding and extracting information from the curated data using statistical techniques and/or AI approaches

Benefits

• Flexible health and dental care options (receive at a minimum with EE only coverage, $10,308 in medical benefits until July 1, 2026)
• Generous sick/vacation time: 13 paid holidays per year – including a week-long winter break for entire campus.
• Fully vested retirement plan on first day of employment, with generous employer contribution (you will receive 12% from Mines in a MDCP averaging $8,640 a year)
• Tuition benefits (6 credits per year for employees, 50 percent discount for dependents)
• Free RTD Ecopass for regional bus and light rail transportation
• All Mines employees also have access to discount programs through the State of Colorado and free tickets for Mines Athletics home games, as well as access to the state of the art Recreation Center (fitness classes and training, swimming pool and more) and equipment rentals through the Outdoor Rec Center.

What This Job Offers

• Job Type: Full-time
• Education Level: Ph.D. or professional degree
• Number of Employees: 101-250 employees