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Scientific activities / projects

Design and Adaptation of a cloud-based Service for Seagrass mapping and monitoring

Starting date

immediately

Duration of contract

2 years

Remuneration

up to German TVöD 13

Type of employment

Full-time

"Cutting-edge research requires excellent minds – particularly more females – at all levels. Launch your mission with us and send in your application now!" Prof. Pascale Ehrenfreund - Chair of the DLR Executive Board

At the Remote Sensing Technology Institute several projects are carried out using high-resolution optical data from satellites. For example, the processing of Sentinel-2 data developed so far has led to new developments of algorithms that allow an automatic analysis of certain coastal waters for the detection of seagrass. The aim now is to design and modify the algorithms and software components to enable worldwide mapping of seagrass beds and to develop a cloud based online service that enables automated, scalable and efficient seagrass mapping and monitoring over large temporal and spatial dimensions using satellite data.

Your tasks are in detail:

  • intensive literature research and critical evaluation of scientific publications to develop new solutions for the automated mapping of seagrass populations from satellite data
  • use of the Google Earth Engine for the design and further development of methods and algorithms from machine learning (classification, semantic segmentation) for seagrass mapping. Above all, the robustness of the methodology has to be considered
  • robustification of the methodology so that it can be applied to different data (e.g. Sentinel-2 and Planet satellite data) and different regions (e.g. Europe, Africa, Oceania) and for integration into Geographic Information Systems (GIS)
  • cloud-based development of image annotation, training and validation methods and metrics
  • fundraising, research on scientific funding institutions and their programs and preparation and drafting of applications
  • guidance for students, interns and bachelor students
  • documentation and scientific publication of the results as well as presentations at conferences

Your qualifications:

  • a level of education which corresponds to completed university studies (universities master's degree) in the field of oceanography, remote sensing or a related subject (with knowledge of computer science)
  • experience with algorithms and methods from the field of machine learning/deep learning (e.g. TensorFlow, Keras, PyTorch)
  • experience in the processing of optical satellite image data
  • knowledge of programming in Python and/or JavaScript
  • experience in the use of cloud-based platforms (e.g. Google Earth Engine)
  • very good knowledge of English

Your benefits:

Look forward to a fulfilling job with an employer who appreciates your commitment and supports your personal and professional development. Our unique infrastructure offers you a working environment in which you have unparalled scope to develop your creative ideas and accomplish your professional objectives. Our human resources policy places great value on a healthy family and work-life-balance as well as equal opportunities for persons of all genders (m/f/non-binary). Individuals with disabilities will be given preferential consideration in the event their qualifications are equivalent to those of other candidates.

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Technical contact

Herr Dimosthenis Traganos
Institute of Remote Sensing Technology (IMF)

Phone: +49 30 67055-545

Vacancy 44576

HR department Berlin

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DLR site Berlin

To location

DLR Earth Observation Center

To institute