"Postdoctoral Associate"

Job Summary

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.

This position is part of the National Institute of Standards and Technology's (NIST) Professional Research Experience Program (PREP). 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.

CU is an Equal Opportunity Employer and complies with all applicable federal, state, and local laws governing nondiscrimination in employment. We are committed to creating a workplace where all individuals are treated with respect and dignity, and we encourage individuals from all backgrounds to apply, including protected veterans and individuals with disabilities.

Who We Are

PREP is a special partnership between the National Institute of Standards and Technology (NIST) and the University of Colorado Boulder. PREP provides research opportunities to CU undergraduate and graduate students, as well as researchers with a Bachelor's, Master's, or PhD in NIST labs to gain research experience alongside NIST scientists.

The particular group that needs a researcher is the Applied Systems Metrology Group under the Spectrum Technology & Research Division at NIST.

What Your Key Responsibilities Will Be

• 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.

What We Can Offer

The salary range for this full-time position is $67,000 - $100,000 annually. Onboarding/relocation assistance may be available, however, if within a 12-month period you exercise your right to willfully terminate your employment with the University of Colorado, you hereby agree to reimburse the department for your relocation expense.

Benefits

The University of Colorado offers excellent benefits, including medical, dental, retirement, paid time off, tuition benefit and ECO Pass. The University of Colorado Boulder is one of the largest employers in Boulder County and offers an inspiring higher education environment.

What We Require

PhD in Electrical Engineering, Computer Science, Data Science, Statistics, Applied Mathematics, Physics, or closely related field.

What We Would Like You to Have

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. Experience with application of advanced data analysis or machine learning methods to large datasets. Strong background in statistics. Strong background in signal processing. Strong background in machine learning. Familiarity with fundamentals of wireless communication systems. Basic understanding of electromagnetic propagation and radio frequency engineering. Track record of successful peer-reviewed publications.

Special Instructions

To apply, please submit the following materials: 1. Resume or CV 2. Cover letter addressed to the Search Committee briefly describing your qualifications, professional goals, and specific interest in this position. If you are selected as the finalist, your degree will be verified by the CU Boulder Campus Human Resources department using an approved online vendor. If your degree was obtained outside of the United States, please submit a translated version as an optional attachment. During the application process you will need to enter contact information for a reference. We will request the letter of recommendation immediately following your application. Review of applications will begin immediately and remain open until September 26, 2025.