Postdoctoral Scholar - Remote Sensing and Data Science

Position overview

Salary range:
The posted UC salary scales set the minimum pay determined by rank and/or step  salary range for this position is $69,073 - $82,836. "Off-scale salaries", i.e., a salary that is higher than the published system-wide salary at the designated rank and step, are offered when necessary to meet competitive conditions, qualifications, and experience.

Open date: February 3, 2026

Next review date: Wednesday, Feb 18, 2026 at 11:59pm (Pacific Time). Apply by this date to ensure full consideration by the committee.

Final date: Friday, Mar 6, 2026 at 11:59pm (Pacific Time). Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.

Applications are invited for appointment as Post-doctoral Research Fellow at the Department of Land, Air, and Water Resources, University of California Davis. We are seeking a highly motivated scholar to develop remote sensing algorithms and data-driven machine learning analytics for improving agriculture sustainability and ecosystem resilience. The candidate will be involved with projects on monitoring, modeling, and forecasting crop health and production.

Within overarching project goals, the candidates will have intellectual freedom to develop and pursue the research directions that they find most interesting.

The candidate will be based at the Remote Sensing and Ecosystem Change Lab, University of California, Davis. The candidate will also have the opportunity to collaborate with scholars across diverse disciplines from multiple institutes. This position's direct supervisor will be Dr. Yufang Jin (yujin). Mentorship will focus on helping the candidates to meet their professional development goals.

Basic qualifications (required at time of application)

Ph.D. in Ecology, Geography, Forestry, Plant Science, Agronomy, Environmental Science, Hydrology, Geospatial science, Data Science, Applied Statistics, or other related field.

Additional qualifications (required at start)

• Excellent quantitative skills, such as applied statistics and machine learning;
• Solid programming skills (e.g., Python, R, or Matlab);
• Demonstrated ability to analyze large complex datasets;
• Demonstrated research capabilities required to carry out independent, innovative and insightful research;
• Strong scientific communication skills as evidenced by peer-reviewed publications, and conference presentations;
• Strong interest in interdisciplinary studies;
• Willingness to collaborate and ability to work successfully in a team environment.

Preferred qualifications (other preferred, but not required, qualifications for the position)

• Familiarity with GIS and image processing software such as ESRI ArcGIS, QGIS, and ENVI;
• Experience working with remote sensing data, including airborne or spaceborne multispectral, hyperspectral, lidar or radar data;
• Experience in data fusion and data-model integration.

Document requirements

• Curriculum Vitae - Your most recently updated C.V.
• Cover Letter
• Authorization to Release Information Form - This form is required for all applicants applying to academic recruitments. Please see the Employment Disclosure Requirements webpage for more information. Download, complete, sign, and upload the form.

Reference requirements

• 3 required (contact information only)

Apply link: (Use the "Apply for this Job" box below)./JPF
07507

Help contact: elespinoza

As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct, are currently being investigated for misconduct, left a position during an investigation for alleged misconduct, or have filed an appeal with a previous employer.

• "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment, discrimination, dishonesty, or unethical conduct, as defined by the employer.
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  Affirmative Action and Nondiscrimination in Employment

To implement this process, UC Davis requires all applicants for any open search to complete, sign, and upload the form entitled, "Authorization to Release Information" into UC RECRUIT as part of their application. If an applicant does not include the signed authorization with the application materials, the application will be considered incomplete, and as with any incomplete application, will not receive further consideration.

UC Davis is a smoke and tobacco-free campus. The University of California is an Equal Opportunity Employer. All qualified applicants will receive consideration for…