ZipRecruiter

Log In

1

Data Science Postdoc Jobs in Colorado (NOW HIRING)

University of Colorado

Post-Doctoral Fellow

Aurora, CO

$77K/yr

Analyze the data. Write scientific manuscripts. Other post-doc, students and instructors in the lab ... Career Level Years of Experience Stipend for FY26 Postdoctoral 0 $63,480 Postdoctoral 1 $63,900 ...

University of Colorado

Post-Doctoral Fellow

Aurora, CO · On-site

$49K - $67K/yr

Postdoctoral Fellow Position #00848430: - Requisition #:39971 Job Summary: The Pividori Lab (pivlab ... Our group deeply cares about open science, and we use the latest software development technologies ...

next page

Showing results 1-20

All JobsData Science Postdoc JobsData Science Postdoc Jobs in Colorado

Data Science Postdoc information

What are typical daily or weekly responsibilities for a Data Science Postdoc?

Data Science Postdocs often spend their days designing and conducting advanced data analyses, developing and testing predictive models, and communicating results through reports or academic publications. They frequently collaborate with faculty, graduate students, and industry partners on interdisciplinary projects, contributing their quantitative expertise. Additionally, Data Science Postdocs may mentor junior researchers, participate in lab meetings, present findings in seminars, and contribute to grant proposals. This dynamic environment provides opportunities to deepen research skills, publish impactful work, and prepare for future career advancement in academia or industry.

What are the key skills and qualifications needed to thrive in the Data Science Postdoc position, and why are they important?

To thrive as a Data Science Postdoc, you need advanced analytical skills, expertise in statistical modeling, a doctoral degree in a quantitative field, and proven experience with data-driven research. Proficiency in programming languages like Python or R, along with experience using machine learning libraries, data visualization tools, and version control systems, is typically required. Excellent problem-solving abilities, collaborative teamwork, and effective communication skills help set outstanding candidates apart. These attributes are crucial for advancing knowledge, publishing impactful research, and working effectively within interdisciplinary research teams.

What is a Data Science Postdoc job?

A Data Science Postdoc is a temporary research position, typically at a university or research institution, for individuals who have recently completed a PhD. The role focuses on applying advanced data science techniques, such as machine learning, statistical modeling, and big data analysis, to solve complex research problems. Postdocs often work on interdisciplinary projects, collaborate with faculty, publish academic papers, and may also contribute to teaching. The goal is to build expertise, advance knowledge in a specific domain, and prepare for roles in academia, industry, or government.

What are popular job titles related to Data Science Postdoc jobs in Colorado? For Data Science Postdoc jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Data Science Postdoc jobs in Colorado look for? The top searched job categories for Data Science Postdoc jobs in Colorado are:
Data Science Postdoc jobs near you
Infographic showing various Data Science Postdoc job openings in Colorado as of June 2026, with employment types broken down into 100% Full Time. Highlights an 97% In-person, and 3% Remote job distribution.

NIST PREP Postdoc Associate, Inverse Problems and Signal Processing for Thermoreflectance Measure...

Southeastern Universities Research Association

Boulder, CO • On-site

$68K - $93K/yr

Full-time

Posted 29 days ago

Job description

This position is part of the National Institute of Standards (NIST) Professional Research Experience (PREP) program. NIST recognizes that its research staff may wish to collaborate with researchers at academic institutions on specific projects of mutual interest, thus requires that such institutions must be the recipient of a PREP award. The PREP program requires staff from a wide range of backgrounds to work on scientific research in many areas. Employees in this position will perform technical work that underpins the scientific research of the collaboration.
Research title: Inverse Problems and Signal Processing for Thermoreflectance Measurements
The work will entail:This postdoctoral position entails developing new analysis techniques and inversion methods related to the thermal properties of computing devices, as probed with through thermoreflectance imaging. The position requires basic knowledge of classical and/or data-driven inverse problems, familiarity with mathematical modeling with differential or integral equations, and experience applying statistical methods to datasets of measured data. Additionally, the applicant should have experience with basic signal processing techniques related to Nyquist sampling theory. The position is aimed at developing new techniques for identifying heat sources in devices that probed with thermoreflectance imaging techniques and in developing rapid measurement techniques for this problem.
Key responsibilities will include but are not limited to:
  • Design, implement, and analyze new algorithms for heat source localization of thermoreflectance images;
  • Design, implement, and analyze new techniques for sampling thermoreflectance images with compressed sensing, adaptive Gaussian processes, or similar sub-Nyquist sampling techniques;
  • Dissemination of research in internal and external publications and presentations;
  • Ensuring that results, protocols, software, and documentation have been archived or otherwise transmitted to the larger organization.

Qualifications
  • A doctoral degree in Applied Mathematics, Electrical Engineering, Computer Science, Engineering, Physics, or a related field.
  • Familiarity with the theory of mathematical inverse problems, forward modeling with differential equations, and a basic understanding of signal processing.
  • Experience with Matlab and/or Python for scientific computing.
  • Experience analyzing datasets of measured physical data.
  • Strong oral and written communication skills.

Privacy Act StatementAuthority: 15 U.S.C. § 278g-1(e)(1) and (e)(3) and 15 U.S.C. § 272(b) and (c)
Purpose: The National Institute for Standards and Technology (NIST) hosts the Professional Research Experience Program (PREP) which is designed to provide valuable laboratory experience and financial assistance to undergraduates, post-bachelor's degree holders, graduate students, master's degree holders, postdocs, and faculty.
PREP is a 5-year cooperative agreement between NIST laboratories and participating PREP Universities to establish a collaborative research relationship between NIST and U.S. institutions of higher education in the following disciplines including (but may not be limited to) biochemistry, biological sciences, chemistry, computer science, engineering, electronics, materials science, mathematics, nanoscale science, neutron science, physical science, physics, and statistics. This collection of information is needed to facilitate administrative functions of the PREP Program.
Routine Uses: NIST will use the information collected to perform the requisite reviews of the applications to determine eligibility, and to meet programmatic requirements. Disclosure of this information is also subject to all the published routine uses as identified in the Privacy Act System of Records Notices: NIST-1: NIST Associates.
Disclosure: Furnishing this information is voluntary. When you submit the form, you are indicating your voluntary consent for NIST to use of the information you submit for the purpose stated.
SURA is an Equal Opportunity Employer. We believe that no one should be discriminated against because of their differences, such as age, disability, ethnicity, gender, gender identity and expression, religion, or sexual orientation. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status, or any other basis as protected by federal, state, or local law.
PREP0003622

Apply