Post-Doctoral Associate in Remote Sensing and Land Use-Fire Regime Dynamics

Lensa; Gainesville (FL); Remote; USD 50,000 - 70,000; Full time

Job summary

A leading research institution is seeking a Post-Doctoral Associate in Remote Sensing and Land Use-Fire Regime Dynamics. This role involves cutting-edge research using satellite imagery and LiDAR data to explore land use changes and fire regimes. The ideal candidate will have a Ph.D. in a related field and strong programming skills, with opportunities for professional growth and a competitive salary.

Qualifications

• Ph.D. in relevant field required.
• Strong programming skills in Python or R.
• Experience with machine learning and deep learning.

Responsibilities

• Develop advanced deep learning algorithms for satellite imagery.
• Integrate multi-source datasets including LiDAR and citizen science observations.
• Apply geospatial and statistical modeling techniques.

Skills

Programming in Python

Machine Learning

Deep Learning

Data Processing

Communication Skills

Education

Ph.D. in Remote Sensing, Geography, Environmental Science, or Computer Science

Tools

Google Earth Engine

Job description

Post-Doctoral Associate in Remote Sensing and Land Use-Fire Regime Dynamics

Post-Doctoral Associate in Remote Sensing and Land Use-Fire Regime Dynamics

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Post-Doctoral Associate in Remote Sensing and Land Use-Fire Regime Dynamics

Apply now (https://secure.dc4.pageuppeople.com/apply/674/gateway/default.aspx?c=apply&lJobID=534299&lJobSourceTypeID=796&sLanguage=en-us) Job no: 534299

Work type: Post Doc Associate

Location: Main Campus (Gainesville, FL)

Categories: Grant or Research Administration, Physical/Mathematical Sciences

Department: 16220100 - LS-GEOGRAPHY-GENERAL

Classification Title

Post-Doctoral Associate

Job Description

A Post-doctoral Associate position is available for an ambitious researcher to join an innovative NASA-funded project led by Dr. Di Yang in the Department of Geography at the University of Florida to begin in July 2025. This cutting-edge research integrates historical satellite imagery, modern LiDAR data, and citizen science to unravel the complex relationships between land use changes and fire regimes over the past 60 years.

The Successful Candidate Will Lead Efforts To

• Develop advanced deep learning algorithms for classifying historical CORONA satellite imagery
• Integrate multi-source datasets including GEDI LiDAR and GLOBE citizen science observations
• Apply cutting-edge geospatial and statistical modeling techniques to quantify land use-fire regime relationships
• Contribute to the development of predictive models for future fire risk under various climate and land use scenarios
  
  

This position offers an exceptional opportunity to work at the forefront of environmental remote sensing, leveraging unique datasets and advanced computational methods to address critical questions in land change science and fire ecology.

The position is renewable for up to two years, with potential for extension based on performance and funding availability.

About The University Of Florida

A member of the prestigious Association of American Universities (AAU), the University of Florida is the state’s oldest and most comprehensive land-, sea-, and space-grant university, with an enrollment of over 50,000 students. In 2025, the University of Florida was ranked the seventh-best public university in the United States by U.S. News & World Report, with exceptional research, teaching, and a university-wide commitment to viewpoint diversity and open intellectual discourse.

The University and greater Gainesville communities enjoy a diversity of cultural events, restaurants, year-round outdoor recreational activities, and social opportunities. Gainesville is a vibrant city with a low cost of living, diverse population, excellent public schools, Division I NCAA sports, and no state income tax. The area is known for its nature parks, bike trails, sporting events, museums, mild winters, and warm summers. Being centrally located in Florida makes Gainesville easily situated for day trips to beautiful beaches along the Atlantic Ocean and Gulf of Mexico, and to theme parks, as well as the nearby cities of Tampa, Orlando, Jacksonville, and St. Augustine. Learn more about what Gainesville has to offer at https://www.visitgainesville.com.

Expected Salary

The salary is competitive and commensurate with qualifications and experience, and the compensation includes a full benefits package. To see more, visit, benefits.hr.ufl.edu.

Minimum Requirements

Ph.D. in Remote Sensing, Geography, Environmental Science, Computer Science, or a closely related field

• Strong programming skills in Python or R
• Experience with machine learning and deep learning applied to geospatial data
• Demonstrated ability to process and analyze large remote sensing datasets
• Excellent written and verbal communication skills
  
  

Preferred Qualifications

• Experience with historical satellite imagery, particularly declassified data
• Familiarity with LiDAR data processing, especially GEDI
• Knowledge of fire ecology and land use change processes
• Experience with Google Earth Engine or other cloud-based geospatial platforms
• Experience with citizen science or crowdsourced data integration
• Proficiency in statistical modeling and time series analysis
  
  

Special Instructions To Applicants

For full consideration, applications must be submitted online. Click on Apply Now at the top of this posting A complete application includes (1) a letter of application summarizing the applicant's qualifications, interests, and suitability for the position, (2) a completecurriculum vitae, (3) a statement on research goals, and (4) a list of three references. After initial review, letters of recommendation will be requested from the references for selected applicants.

Applications will be reviewed beginning February 15, 2025, and the position will remain open until filled. Only complete applications will be reviewed at this time. Applications received after this date may be considered at the discretion of the committee and/or hiring authority.

All candidates for employment are subject to a pre-employment screening which includes a review of criminal records, reference checks, and verification of education.

The selected candidate will be required to provide an official transcript to the hiring department upon hire. A transcript will not be considered “official” if a designation of “Issued to Student” is visible. Degrees earned from an educational institution outside of the United States require evaluation by a professional credentialing service provider approved by the National Association of Credential Evaluation Services (NACES), which can be found athttp://www.naces.org/.

The University of Florida is committed to promoting an environment that welcomes all abilities, classes, ethnicities/races, gender identities and expressions. We particularly welcome applicants who can contribute to such an environment through their scholarship, teaching, mentoring, and professional service.

Health Assessment Required:No

Advertised: 11 Feb 2025 Eastern Standard Time

Seniority level

• Seniority level

  Internship

Employment type

• Employment type

  Full-time

Job function

• Job function

  Research, Analyst, and Information Technology

• Industries

  IT Services and IT Consulting

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