PhD position - Learning Embeddings for Earth Observation Applications with Supercomputing

Updated: 26 days ago

Your Job:

The quality and quantity of Earth Observation (EO) data is increasing at a high rate. However its volume makes handing the data challenging, especially as the bandwidths between data centers do not grow accordingly. In your PhD, you will develop AI methods to enhance the accessibility and analysis of a vast amount of high-resolution, multi-source EO data. You will research ML methods of encode and compress high-volume EO data into practical, much smaller representations and scale them to large datasets on our supercomputers. These techniques are designed to efficiently exchange massive geospatial data for few-shots learning, and facilitating real-time searchers on petabyte-scale data. This research will take place within the scope of the recently funded EU project, Embed2Scale.

The main tasks of your PhD project:

  • Analyze selected EO applications using multi-source remote sensing data
  • Develop, implement, and refine ML techniques
  • Implement parallel ML training on supercomputers
  • Engage with national and international ML and EO communities
  • Present research findings at scientific meetings, conferences, and in scientific papers
  • Contribute to educational events, including courses and hackathons

Your Profile:

  • Excellent Master`s degree in Computer Science, Data Science, Mathematics, Physics or similar fields
  • Strong knowledge of AI, applied ML- and Deep Learning workflows and prevalent software libraries
  • A keen interest in applying your data science expertise to satellite data
  • Hands-on experience with High-Performance Computing Systems, parallel/dirstributed programming and/or robust UNIX skills
  • A high level of academic achievement as demonstrated by bachelor`s and master`s study transcripts, and supported by two reference letters
  • Proficiency in programming with at least one of the following: Python, C, C++
  • Excellent communication skills in English
  • Outstanding cooperation and communication abilities, coupled with the skill to collaborate as part of a scientific team in an international and interdisciplinary setting
  • Your expertise should be showcased in research papers and open-source code projects

Our Offer:

We work on the very latest issues that impact our society and are offering you the chance to actively help in shaping the change! We offer ideal conditions for you to complete your doctoral degree:

  • You will be employed at the Jülich Supercomputing Centre and enrolled at the Faculty of Industrial Engineering, Mechanical Engineering and Computer Science (University of Iceland, Reykjavik, Iceland): https://english.hi.is/faculty_of_industrial_engineering_mechanical_engineering_and_computer_science
  • Outstanding scientific and technical infrastructure - ideal conditions for successfully completing a doctoral degree
  • Highly motivated researchers as well as an international and interdisciplinary working environment at one of Europe`s largest research establishments
  • Continuous scientific mentoring by your scientific advisors
  • The opportunity to be part of Embed2Scale, a project funded by Horizon Europe Framework Programme (HORIZON) with 10 academic and industry partners from all over Europe
  • Access to advanced supercomputers, in particular Modular Supersomputing Architectrue (MSA) environments
  • Chance of participation in (international) top conferences in the field of ML, HPC, and remote sensing
  • 30 days of annual leave and provision for days off between public holidays and weekends (e.g. between Christmas and New Year)
  • Further development of your personal strengths, e.g. through an extensive range of training courses; a structured program of continuing education and networking opportunities specifically for doctoral researchers via JuDocS, the Jülich Center for Doctoral Researchers and Supervisors: https://www.fz-juelich.de/en/judocs


The position is initially for a fixed term of 3 years, with possible long-term prospects. Pay in line with 75% of pay group 13 of the Collective Agreement for the Public Service (TVöD-Bund) and additionally 60 % of a monthly salary as special payment („Christmas bonus“). Further information on doctoral degrees at Forschungszentrum Jülich including our other locations is available at: https://www.fz-juelich.de/gp/Careers_Docs

We welcome applications from people with diverse backgrounds, e.g. in terms of age, gender, disability, sexual orientation / identity, and social, ethnic and religious origin. A diverse and inclusive working environment with equal opportunities in which everyone can realize their potential is important to us.


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