Current Openings

Updated on August 23, 2025

We are recruiting two fully funded Ph.D. student (tuition+stipend) starting in the Spring or Fall of 2026, and two Postdoctoral Scientists to join our lab.

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Research Projects

Successful candidates will contribute to one of the following funded projects:

1. Land–Atmosphere Exchanges and Wildfire Disturbances

   • Collaboration with Lawrence Berkeley National Laboratory and Oak Ridge National Laboratory.

   • Focus on land–atmosphere exchanges of carbon, water, and energy in response to wildfire disturbances.

   • Tools: Earth system models (e.g., E3SM), advanced machine learning, and quantitative analysis of land–atmosphere interactions.

2. Remote Sensing Dryland Vegetation Dynamics

   • Collaboration with scientists at the University of Arizona and University of Chicago.

   • Focus on dryland vegetation dynamics using NASA PACE hyperspectral data and field-based validation.

   • Tools: remote sensing (especially hyperspectral), ecosystem modeling, and AI/data-driven analysis.

Position Details

Postdoctoral Research Scientist Positions (2)

Expected Skills:

• Wildfire Project:

  • Land surface, terrestrial ecosystem, or Earth system modeling.

  • Remote sensing, machine learning, or numerical/statistical analysis.

  • High-performance computing and strong programming skills.

  • Quantitative analysis of land–atmosphere interactions is especially important.

• NASA PACE/Dryland Vegetation Project:

  • Same as above, with additional emphasis on hyperspectral data processing and analysis.

Start Date: Flexible; earliest start available immediately.
Appointment: Annual renewal contingent on performance. Salary is competitive and commensurate with experience.

Ph.D. Student Positions (2)

Expected Skills:

• Wildfire Project:

  • Interest in land surface/terrestrial ecosystem modeling or land–atmosphere interactions.

  • Strong quantitative and programming skills.

• PACE/Dryland Vegetation Project:

  • Interest in remote sensing of dryland vegetation dynamics, especially hyperspectral data processing.

  • Strong quantitative and programming skills.

Applicants must meet the UW–Madison Graduate School admission requirements. International students must also meet TOEFL/IELTS requirements.

Application Instructions

Please fill and submit the form below start your application. Applications will be reviewed on a rolling basis until positions are filled. Only shortlisted candidates will receive feedback — Thank you for your understanding.

For graduate student applications, this form is only an inquiry step. A formal application must be submitted through the Graduate School.

Please make sure your submitted materials do not include any sensitive or classified information. Read UW-Madison’s Data Classification policy and Registrar’s “Directory Information” page

Click Here for the Application Form