Developing methods to ensure the quality of information in AI systems for Earth observation

Company Details

Researching for the world of tomorrow

The department “Data Science for Earth Observation” develops modern signal processing and AI methods for current and future Earth observation missions. We are involved in a large number of third-party funded projects and are part of a large international network.

Your tasks will consist of scientific research on the topic of artificial intelligence for Earth observation as well as the initiation, implementation and management of scientific and innovative projects.

Your area of responsibility extends to research and development of procedures and methods to ensure the quality of information in AI systems related to Earth observation. The tasks described below require specific knowledge and outstanding expertise. In order to meet the requirements of the position, extensive professional or research experience in the respective fields is required.

Tasks include:

  • Literature research with the aim of critically evaluating new experimental and theoretical methods, making them usable for our own work or evaluating the problems, difficulties and disadvantages that arise, deriving new approaches and solutions
    Independent research and expansion of scientific knowledge at the highest international level in the field of uncertainty assessment, interpretability and traceability of neural networks
  • Review and further development of existing methods for robustness analysis and uncertainty modeling of machine learning models. New and further development of approaches for (visual analysis) of model components or for self-explanatory models
  • Research and development of procedures for the verification and stabilization of machine learning models, e.g. through prior knowledge or through the combination of multiple data sources
    perform experiments to validate the developed methods. Evaluation and interpretation of the experimental results to compare different methods
  • Implementation of the procedures in prototypical algorithms
  • Detailed preparation and presentation of the new approaches to scientific users
  • Presentation and discussion of the research results at conferences, meetings, etc. at national and international levels
  • Publication of the research results in suitable publications
  • Participation in topic-related scientific committees, working groups and interest groups.
  • Representation and presentation of the scientific results internally and externally
  • Provide guidance for doctoral students as part of the research project

Your qualifications:

  • You have completed a university degree (university diploma / master’s) in computer science, geoinformatics, data science, statistics or a comparable subject
  • You already have several years of professional experience in machine learning (ML), artificial intelligence (AI) or related areas experience in the areas of uncertainty estimation, interpretability, traceability, neural networks
  • You have the ability and the enthusiasm to learn new technologies quickly
  • You have very good programming skills (preferably in Python)
  • Very good written and spoken German and English skills
  • Experience in working with Earth observation data is desirable
  • Experience in the implementation of image processing algorithms is an advantage
  • Knowledge of signal processing algorithms for images, videos or audio desirable
  • A completed doctorate is desirable, but not required if you are particularly qualified to the role
  • You are able to interact with scientists at different levels
  • You work independently, but also highly motivated in a team and have excellent communication and cooperation skills

Tagged as: estimation, traceability, neural networks, interpretability, python

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