University of North Carolina at Chapel Hill

Remote Sensing and Ecosystem Model Post-Doctors Open

University of North Carolina at Chapel Hill Chapel Hill, NC

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Conghe Song

Conghe Song

Professor of Geography at the University of North Carolina at Chapel Hill

Two Post-Doctoral Fellows

Department of Geography and Environment

University of North Carolina at Chapel Hill

 

The Department of Geography and Environment is calling for applications for two post-doctoral fellows to work on a project funded by the US Department of Agriculture under the supervision of Prof. Conghe Song. One post-doc will focus on remote sensing of vegetation, and the other will focus on ecosystem modeling. The remote sensing post-doc will be working on characterizing forest canopy structure, including canopy height, tree crown size, leaf area index, and aboveground biomass, using multiple sources of remotely sensed data, including very high-resolution imagery, lidar, radar, and medium resolution optical data along with ancillary data. The ecosystem modeling post-doc will be working on estimating forest ecosystem carbon sequestration and below and aboveground carbon storage using an ecosystem model that integrates climate and other environmental data. Both the remote sensing and the ecosystem modeling products will be rigorously validated with ground-observed data. The two post-docs will collaborate closely as they eventually will reconcile the remotely sensed carbon storage with the ecosystem model estimated carbon storage for the same locations.


Required Qualifications for Remote Sensing Post-doc:

1.    A PhD degree with an emphasis on remote sensing.

2.    Experience in using multiple sources of remotely sensed data, particularly optical, Lidar, and Radar data.

3.    Sound statistical skills and use of Machine Learning/Geospatial AI tools for data analysis.

4.    Computer programing skills for remotely sensed data analysis.

5.    Sound knowledge of remote sensing physics.

6.    Experience working with ArcGIS Pro and Google Earth Engine are welcome.

 

Required Qualifications for Ecosystem Modeling Post-doc:

1.    A PhD degree with an emphasis on ecosystem modeling.

2.    Experience of using ecosystem models simulating ecosystem carbon dynamics, including carbon fluxes and pools both below and above ground.

3.    Sound statistical skills and use of Machine Learning/Geospatial AI tools for data analysis.

4.    Computer programing skills in manipulating an existing ecosystem model.

5.    Sound knowledge of ecosystem ecology.

6.    Experiences with ArcGIS Pro and Google Earth Engine are welcome.


Preference will be given to applicants who have relevant publications in the respective fields. We welcome applications from candidates who align with our department's mission, vision, and values (https://geography.unc.edu/explore-world-find/vision/). The initial offer will be given for one year, and renewable for up to two more years, depending on satisfaction of performance. Salary will be at $58,700-$60,000 per year, plus standard benefits for post-docs at UNC Chapel Hill.

 

Application Instructions:

To apply for the position, candidates should submit a cover letter, curriculum vitae, personal statements on career goals and development plans, and contact information for three confidential reference letters. The applicants should clearly indicate which position they are applying for. The application deadline is July 20, 2024. 


Applications for the remote sensing post-doc should be submitted online at https://unc.peopleadmin.com/postings/282989


Applications for the ecosystem modeling post-doc should be submitted online at

https://unc.peopleadmin.com/postings/283500


The job can start on August 15, 2024, or as soon as possible. Questions about the positions should be directed to Prof. Conghe Song (csong@email.unc.edu).

 


  • Employment type

    Full-time

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