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Job Information

University of Colorado Postdoctoral Associate in Boulder, Colorado

Postdoctoral Associate

Requisition Number: 52807

Location: Boulder Colorado

Employment Type: Research Faculty

Schedule: Full Time

Posting Close Date: 15-May-2024

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:

  1. Resume/CV (please include a publication list)

  2. Cover Letter

  3. 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.

Applications received by May 15, 2024 will receive full consideration.

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)

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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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