Postdoc Position Microwave Remote Sensing of Vegetation

Postdoc Position Microwave Remote Sensing of Vegetation

A sub-daily radar mission to take the pulse of the Earth’s ecosystems?

Changes in sub-daily water content contain the fingerprint of vegetation health. They reveal how well the vegetation can respond to biotic and abiotic stress (e.g. changing temperature and vapor pressure deficit, water, fungi, insects, disease) and disturbances (e.g. fire, human activity) and how resilient it is to climate variability and extremes. This project is motivated by the ambition to develop a sub-daily satellite radar mission to observe vegetation functioning and health, and to improve our ability to predict how it will change due to climate change and human impact.

You will be part of a team of PhD candidates and post-docs who are combining ground-based experimental data, satellite data, radiative transfer modeling, vegetation modeling and data science to develop the design of this mission:

Within this position, you will:

• Develop and demonstrate modeling and retrieval techniques to capture the sub-daily signature of vegetation health from sub-daily radar.
• Improve fundamental understanding of microwave interactions with vegetation.
• Translate insights gained to the exploitation of current radar satellite missions.

You will be supervised by Professor Susan Steele-Dunne, an expert in microwave remote sensing of vegetation. You will be part of the M-WAVE group at the Department of Geoscience and Remote Sensing (TU Delft) and collaborate with academic and industry research partners from across Europe. In addition to an exciting research project and a friendly and stimulating work environment, there are generous funds available to support scientific travel.

Job requirements

We are looking for a curiosity-driven Earth Observation enthusiast with strong analytical and quantitative skills who enjoy computational data analysis, scientific discussion and collaboration.

You must have a PhD degree in Earth sciences, physics, applied mathematics, engineering, remote sensing or a closely-related field. You must have demonstrated programming skills (preferably Python or Fortran), and experience with Synthetic Aperture Radar.

You are expected to work independently as well as part of a diverse team, including international research partners. You are expected to communicate fluently in English (oral and written) and to present your results to the scientific community as peer-reviewed publications and presentations at international conferences and meetings.

TU Delft (Delft University of Technology)

Delft University of Technology is built on strong foundations. As creators of the world-famous Dutch waterworks and pioneers in biotech, TU Delft is a top international university combining science, engineering and design. It delivers world class results in education, research and innovation to address challenges in the areas of energy, climate, mobility, health and digital society. For generations, our engineers have proven to be entrepreneurial problem-solvers, both in business and in a social context.

At TU Delft we embrace diversity as one of our core values and we actively engage to be a university where you feel at home and can flourish. We value different perspectives and qualities. We believe this makes our work more innovative, the TU Delft community more vibrant and the world more just. Together, we imagine, invent and create solutions using technology to have a positive impact on a global scale. That is why we invite you to apply. Your application will receive fair consideration.

Challenge. Change. Impact! 😊

Faculty of Civil Engineering and Geosciences

The Faculty of Civil Engineering & Geosciences (CEG) is committed to outstanding international research and education in the field of civil engineering, applied earth sciences, traffic and transport, water technology, and delta technology. Our research feeds into our educational programmes and covers societal challenges such as climate change, energy transition, resource availability, urbanisation and clean water. Our research projects are conducted in close cooperation with a wide range of research institutions. CEG is convinced of the importance of open science and supports its scientists in integrating open science in their research practice. The Faculty of CEG comprises 28 research groups in the following seven departments: Materials Mechanics Management & Design, Engineering Structures, Geoscience and Engineering, Geoscience and Remote Sensing, Transport & Planning, Hydraulic Engineering and Water Management.