As a Research Fellow, you will work in a team of experienced engineers in the domain of space software and AI. You will be able to interface with experts from other engineering disciplines for applications and potential demonstrations. You will be responsible for:

• prototype applications, proofs of concept and related tests in the departmental laboratory facilities to assess the technologies developed. This may be in the areas of mission management or software engineering processes, covering requirement engineering, model-based software engineering and software coding and validation;
• providing expertise in AI and/or machine learning (ML) for the development of AI/ML systems and their applications, supporting ESA missions and projects, ESA R&D activities, or ESA working groups on AI/ML;
• supporting the elaboration of an AI/ML strategy for use in space systems and processes, together with an associated roadmap and risks;
• disseminating the results of technical reporting through peer-reviewed journal publications, colloquiums and webinars;
• contributing to the development of advanced benchmark problems that can serve as baseline and reference cases for various R&D projects.

Requirements: 

Education

A PhD in artificial intelligence, software engineering or data science is required.
Preference will be given to applications submitted by candidates who have obtained their PhD in the past five years.

Additional requirements

You should also have:

• A good knowledge of critical software development processes is an asset.
• This position, located at the intersection between academic approaches and industrial applications, and between AI and software systems engineering, is at the core of the challenges relating to the current embedded systems. It also provides an opportunity to transition gradually from an academic context to an industrial setting.
• You should have good interpersonal and communication skills in order to interact with the systems engineering, AI and MBSE community and be able to work in a multicultural environment, both independently and as part of a team. A methodological approach and good organisational skills are required.
• You should demonstrate an interest in space, with the ability to and an interest in becoming actively involved in prospective interdisciplinary research.

The working languages of the Agency are English and French. A good knowledge of one of these is required. Knowledge of another Member State language would be an asset.