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Postdoc in “Remote sensing of ecophysiological traits from Unmanned Aerial Systems”

Postdoc in “Remote sensing of ecophysiological traits from Unmanned Aerial Systems”

Denmark Technical University, Environmental Engineering Department logo

Denmark Technical University, Environmental Engineering Department

DTU is a technical university providing internationally leading research, education, innovation and scientific advice. We offer a rewarding and challenging job in an international environment.
The Department of Environment is one of the largest university departments specialising in water, environmental engineering and sustainability in Europe. The project will be carried out in the section for Air, Land and Water resources in the Department of Environmental Engineering with collaboration with scientist from DTU Space and DTU Photonics Departments as well as international institutions from AgWit project.

The Air, Land and Water section performs research on global climate change, air pollution, hydrology, and interactions of the terrestrial biosphere with the hydrological cycle and atmosphere. Special focus is on water resources, land surface fluxes and greenhouse gas exchange in natural and anthropogenic systems. Advanced techniques like tracer gas and eddy-covariance flux measurements, experimental manipulation of ecosystems (e.g. FACE), remote sensing, and modelling are used.


Great Copenhagen (Kongens Lyngby), Denmark


Relevant divisions
Biogeosciences (BG)
Earth and Space Science Informatics (ESSI)
Hydrological Sciences (HS)

Full time

Student / Graduate / Internship

66801 - 73790 € / Year, Salary depends on experience and those are approximate ranges for minimum and maximum brut salary postdoc in Denmark translated into Euros. The appointment will be based on the collective agreement with the Danish Confederation of Professional Association

Preferred education

Application deadline
20 May 2019

10 April 2019

Job description

Fully funded 1-year postdoctoral position in hyperspectral and thermal remote sensing of crops using Unmanned Aerial Systems within the project Agricultural Water Innovations in the Tropics, AgWit project (JPI-Water).
Project web page:
The candidate should be able to start by June-30 th – 2019.
The project aims to quantify water and carbon footprints of crops using hyperspectral, multispectral and thermal imagery from Unmanned Aerial Systems (UAS), assess the use of biochar and land use/cover changes and upscale the results to regional scale using satellite data. Biophysical variables related with plant physiology and hydraulic traits will be derived from UAS and incorporated into evapotranspiration and gross primary productivity models.
The postdoc will be able to engage in an international team with scientists from DTU Environment, DTU Photonics and DTU Space, and international institutions: University of British Columbia, Instituto de Pesquisa Ambiental da Amazônia, Stockholm University and Max Planck-Jena. Scientific networking will be also facilitated through COST actions SENSECO and HARMONIOUS.

Responsibilities and tasks

The successful applicant will contribute to advancement of synergic uses of hyperspectral and thermal sensors for sensing ecophysiological traits DTU Environment. The postdoc will access an existing set of ground and UAS hyperspectral, thermal and multispectral data already acquired over different agro-ecohydrological observatories (e.g. Costa Rica).

The postdoc will be responsible for:

  1. Estimate biophysical variables using indices, machine learning methods and Radiative Transfer Models (RTM).
  2. Implementing image workflows: orthorectification, geometric, radiometric and atmospheric corrections.
  3. Incorporate such information to improve existing gross primary productivity and evapotranspiration algorithms and validate with ground observations.
  4. Coordination of research with other team members and participation in meetings.
  5. Publication of scientific results in high level impact journals and presented at international conferences.


Candidates should have a PhD degree or equivalent (e.g. Master degree with scientific publications).

We are looking for a candidate who has:

  1. Master’s degree and PhD in Remote Sensing, Earth Sciences or Environmental Engineering from a Danish institution or equivalent.
  2. Proven experience working with hyperspectral remote sensing data and radiative transfer models in vegetation.
  3. Proven experience in field campaigns using Unmanned Aerial Systems and the necessary workflows for image processing.
  4. Ability of handling and processing large amounts of data
  5. Mathematical modelling skills and experience in PYHTON, MATLAB, IDL or other programming languages and GIS software (QGIS, ENVI, Arcmap)
  6. Proficiency in written and spoken English.
  7. Flexibility and self-motivation, interest in collaboration and personal responsibility for your work.
  8. Proven experience publishing in top-level journals in the field as first author.
  9. Knowledge of thermal remote sensing, fluorescence and crop growth or land surface models are advantageous.
  10. Willingness to travel and work in an international environment.

How to apply

Submit your online application no later than May 20th 2019 (22:00 local time). Apply online at

To apply, please open the link “Apply online”, fill out the online application form. The following must be attached in English:

  1. Application (cover letter including your research vision for the post)
  2. CV
  3. Diploma (MSc/PhD)
  4. List of publications

Applications and enclosures received after the deadline will not be considered.

All interested candidates irrespective of age, gender, disability, race, religion or ethnic background are encouraged to apply.