**Research Associate** **Requisition Number:** 65860 **Location:** Boulder Colorado **Employment Type:** Research Faculty **Schedule:** Full Time **Posting Close Date:** 15-Jul-2025 **Date Posted:** **Job Summary** The main tasks of the candidates will be to develop algorithms and software to improve GNSS measurement precision and accuracy for altimetry applications and to infer Earth surface, atmospheric, and ionospheric properties. The researchers will collaborate with a group of research associates, postdocs, and PhD students with diverse engineering and science background in the Center, the Aerospace Engineering Sciences Department at the University, and the broader space science and remote sensing research and education community in Boulder, Colorado. 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** The Colorado Center for Astrodynamics Research (CCAR) at the University of Colorado Boulder. **What Your Key Responsibilities Will Be** + Developing algorithms and software to improve GNSS measurement precision and accuracy for altimetry applications and to infer Earth surface, atmospheric, and ionospheric properties. **What We Can Offer** $60,000 - $83,500 salary for full-time employment. **Benefits** The University of Colorado offers excellent benefits (https://www.colorado.edu/jobs/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. Learn more about the University of Colorado Boulder (https://www.colorado.edu/about) . **Be Statements** Be ambitious. Be groundbreaking. Be Boulder. **What We Require** + The applicant should hold a PhD in electrical engineering, aerospace engineering, space science, physics, or a related field and have experience in processing and analyzing GNSS reflectometry, radio occultation, and ground monitoring systems data. + Background in radio wave propagation in complex medium and interactions with snow, ice, and water, atmospheric and ionospheric effects, experiences in signal processing and big data analysis, publishing and proposal writing, and independent research skills are desired. **What You Will Need** + Knowledge of radios, space physics, machine learning, coding in Matlab and/or Python, and good communication skills. **Special Instructions** To apply, please submit the following materials: 1. Resume/CV. 2. Cover Letter. 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. Review of applications will begin immediately and will continue until 7/15/2025. Note: Application materials will not be accepted via email. For consideration, applications must be submitted through CU Boulder Jobs. (https://jobs.colorado.edu/) In compliance with the Colorado Job Application Fairness Act, in any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information. **To apply, visit https://jobs.colorado.edu/jobs/JobDetail/Research-Associate/65860 (https://apptrkr.com/6376326)** Copyright 2025 Jobelephant.com Inc. All rights reserved. Posted by the FREE value-added recruitment advertising agency (https://www.jobelephant.com/) jeid-7d716d29373c4e4e9617a9c0b6b9d03a The University of Colorado does not discriminate on the basis of race, color, national origin, sex, age, pregnancy, disability, creed, religion, sexual orientation, gender identity, gender expression, veteran status, political affiliation, or political philosophy. All qualified individuals are encouraged to apply.