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Postdoctoral Associate
Postdoctoral Associate-March 2024
Boulder
Mar 28, 2026
About Postdoctoral Associate

  Postdoctoral Associate

  Requisition Number: 52807

  Location: Boulder Colorado

  Employment Type: Research Faculty

  Schedule: Full Time

  Posting Close Date:

  Date Posted:

  Job Summary

  A postdoctoral associate position is immediately available with the Department of Computer Science at CU Boulder. This position is part of an NSF CSSI project . The successful applicant will be jointly supervised by Prof. Qin "Christine" Lv in the Computer Science Department and Dr. Carrie Wall in the Cooperative Institute for Research in Environmental Sciences (CIRES) and will have full access to the state-of-the-art laboratories and other resources at CU Boulder.

  The University of Colorado Boulder is committed to building a culturally diverse community of faculty, staff, and students dedicated to contributing to an inclusive campus environment. We are an Equal Opportunity employer, including veterans and individuals with disabilities.

  Who We Are

  Founded in 1970, the Department of Computer Science at CU Boulder is passionate about real-world, interdisciplinary experiences for our students. Our researchers are making advances in computer science today that will change the world tomorrow. Via the Partnership Program, the department is now helping CU to support higher education across the state of Colorado.

  What Your Key Responsibilities Will Be

  The successful applicant will investigate the application of self-supervised machine learning for NOAA water column sonar data, and will design and develop cloud-based cyberinfrastructure. The successful applicant will lead the coordination efforts across international research teams for the design and development of the proposed cyberinfrastructure.

  What You Should Know

  This position will be funded full-time for two years in Boulder, CO.

  What We Can Offer

  The salary for this position will be $70,000 annually.

  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 engaged. Be impactful. Be Boulder.

  What We Require

  Ph.D in Computer Science, Data Science, Oceanography or a related field.What You Will Need

  Experience in applying machine learning methods to a domain science.

  Experience working with cloud-based infrastructure.

  Experience with python programming for big data analysis.

  Interest and demonstrated ability to work in an interdisciplinary team.

  Special Instructions

  To apply, please submit the following materials:

  Resume/CV (please include a publication list)

  Cover Letter

  Statement of Research Experience/Interests

  During the application process, you will be asked to submit contact information for one reference who may later be asked to provide a letter of recommendation on your behalf.

  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. However, if your degree was obtained outside of the United States, please submit an English-translated version as an Optional document.

  For consideration, please apply by January 15, 2024 .

  Note: Application materials will not be accepted via email. For consideration, please apply through CU Boulder Jobs (https://jobs.colorado.edu/) .

  To apply, visit https://jobs.colorado.edu/jobs/JobDetail/Postdoctoral-Associate/52807 (https://apptrkr.com/4905010)

  Copyright 2022 Jobelephant.com Inc. All rights reserved.

  Posted by the FREE value-added recruitment advertising agency (https://www.jobelephant.com/)

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  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.

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