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What is a postdoctoral machine learning?

A Postdoctoral Machine Learning job is a research-focused position for individuals who have recently earned a Ph.D. in machine learning, artificial intelligence, or a related field. It typically involves conducting advanced research, publishing papers, collaborating with academic or industry partners, and developing novel algorithms or models. These roles are often hosted by universities, research institutes, or tech companies. The position helps researchers gain additional expertise and contribute to cutting-edge advancements before transitioning to faculty, industry, or independent research roles.

What are the typical daily responsibilities of a postdoctoral machine learning researcher?

A Postdoctoral Machine Learning researcher typically spends their day designing and implementing machine learning algorithms, analyzing experimental results, and preparing manuscripts for publication. They often collaborate with interdisciplinary teams of scientists and engineers, attend lab meetings, and contribute to grant writing or project proposals. Regular activities also include keeping up with recent scientific literature, mentoring graduate or undergraduate students, and presenting research findings at conferences or seminars. The blend of technical development and scientific communication makes each day dynamic and offers opportunities to influence both academia and industry.

What are the key skills and qualifications needed to thrive in a postdoctoral machine learning position?

To thrive as a Postdoctoral Machine Learning researcher, you need a strong background in machine learning theory, statistical analysis, and programming, typically supported by a Ph.D. in computer science, engineering, or a related quantitative field. Experience with Python, TensorFlow, PyTorch, and advanced data analytics tools is highly valued, as are relevant publications and experience with version control systems like Git. Strong problem-solving abilities, clear communication skills, and effective teamwork are crucial to excel in collaborative research settings. These skills and qualities are essential to drive innovative research, efficiently navigate complex datasets, and contribute to impactful scientific discoveries.

What are popular job titles related to Postdoctoral Machine Learning jobs in Colorado?

For Postdoctoral Machine Learning jobs in Colorado, the most frequently searched job titles are:

What job categories do people searching Postdoctoral Machine Learning jobs in Colorado look for?

The top searched job categories for Postdoctoral Machine Learning jobs in Colorado are:

Postdoctoral Machine Learning jobs near you
Infographic showing various Postdoctoral Machine Learning job openings in Colorado as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 21% Part Time, 1% Temporary, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

NIST PREP Postdoctoral Research Associate for Analysis of Real-World Mid-Band Aggregate Cellular Net

Southeastern Universities Research Association

Boulder, CO • On-site

$82K - $110K/yr

Full-time

Re-posted 4 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: Analysis of Real-World Mid-Band Aggregate Cellular Network Emissions
The work will entail:Conduct applied research implementing and developing data analysis methods for large, high-quality datasets of mid-band (3 GHz - 4 GHz) radio frequency (RF) spectrum measurements of deployed 4G and 5G cellular networks. New data analysis methods and insights resulting from this position will help improve models for aggregate RF emissions, interference assessments, and deployments of cellular networks. Position will require in-person work at NIST in Boulder, Colorado.
Key responsibilities will include but are not limited to:
  • Implement advanced data analysis and data visualization methods in python.
  • Work with NIST research scientists to extract meaningful insights from data.
  • Research into novel data analysis methods.
  • Prepare software and data for publication.
  • Prepare manuscripts suitable for peer-reviewed publication.
  • Present findings at academic conferences and stakeholder meetings.

Qualifications
  • U.S. Citizenship
  • PhD in Electrical Engineering, Computer Science, Data Science, Statistics, Applied Mathematics, Physics, or closely related field received within the last 5 years.
  • Excellent programming skills in python, including familiarity with the Pandas and NumPy libraries.
  • Ability to work effectively in a collaborative research environment.
  • Ability to generate independent research ideas.
  • Strong oral and written communication skills.
  • Preferred: Experience with application of advanced data analysis or machine learning methods to large datasets.
  • Preferred: Strong background in statistics.
  • Preferred: Strong background in signal processing.
  • Preferred: Strong background in machine learning.
  • Preferred: Familiarity with fundamentals of wireless communication systems.
  • Preferred: Basic understanding of electromagnetic propagation and radio frequency engineering.
  • Preferred: Track record of successful peer-reviewed publications.

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.
PREP0003772

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