Postdoc: Drone Methane Monitoring & Hyperspectral ML

Cph Ai Hub; Aarhus; Hybrid; DKK 340,000 - 420,000; Full time

Job summary

Aarhus University invites applications for a 19-month postdoctoral position in the GHG-MONITOR project within the Department of Geoscience, Aarhus University. The postdoc will develop a drone-based methane monitoring approach using a hyperspectral camera and connect field data with satellite observations using machine learning techniques.

The role includes processing hyperspectral data, validating methane quantification methods, participating in field campaigns, and contributing to publications

Qualifications

• PhD in remote sensing or related field.
• Experience with quantitative data analysis and scientific programming, preferably Python.
• Ability to work independently and communicate effectively in English.

Responsibilities

• Process hyperspectral observations and develop/validate methane quantification methods.
• Collaborate with researchers and external partners and contribute to publications and project reporting.
• Engage in field campaigns and participate in the delivery of the project’s monitoring solution.

Education

PhD in remote sensing or related field

Tools

Python

Hyperspectral imaging

UAV data processing

Machine learning

Job description

Aarhus University invites applications for a 19-month postdoctoral position in the GHG-MONITOR project within the Department of Geoscience, Aarhus University. The postdoc will develop a drone-based methane monitoring approach using a hyperspectral camera and connect field data with satellite observations using machine learning techniques.

The role includes processing hyperspectral data, validating methane quantification methods, participating in field campaigns, and contributing to publications