In particular, you will:

• undertake advanced research activities exploring and expanding the use of disruptive/transformative innovation such as AI, ML, Quantum Computing, Edge Computing, etc… to develop new frameworks and solutions. Research can cover a wide range of innovative topics from the development of novel methods, algorithms and ML iterative pipelines to high-level products;
• contribute to the development and curation of open data sets and tools enabling the community to develop their own AI for applications and research;
• support the definition and implementation of rapid prototyping activities, research sprints and open challenges of innovative EO solutions addressing upcoming lab activities and a wider strategy;
• engage with the innovation ecosystem to promote the uptake of new techniques and capture the latest developments in EO and disruptive/transformative innovation;
• publish the research project outcomes in high-impact journals;
• drive collaboration within the Φ-lab community and ESA internal teams to promote the uptake of these new techniques and solutions;
• contribute to the Φ-lab strategy, activities and outreach on disruptive technologies for EO;
• maintain a continuous dialogue with the scientific community, including major international programmes and initiatives in the fields of AI, ML, Quantum Computing, Edge Computing, etc
• support the research network of Young Graduate Trainees, National Trainees, Interns and Visiting Researchers, as applicable.

Requirements: 

Education

You should have recently completed (within the past five years) or be close to completing a PhD in a relevant field such as data science, AI, Computer Science, Machine Learning, Earth System Science, Climate etc.. with the subject of your thesis being relevant to the description of the tasks outlined above.

Additional requirements

You should also have:

• sound knowledge of the themes of interest, such as EO, AI, ML, Quantum Computing, ICT revolution technologies in general, Edge Computing, etc..
• the ability to think outside the box and explore new avenues, with natural curiosity and a passion for new subjects and research areas
• experience with one or more general purpose programming languages (e.g. Python) and with general purpose deep learning frameworks (e.g. Tensorflow and PyTorch).

You should have good interpersonal and communication skills and should be able to work in a multi- cultural environment, both independently and as part of a team.