Internal Research Fellow (PostDoc) in AI for Autonomous Cognitive Cloud Computing in Space

Job Posting Organization:
The European Space Agency (ESA) is an intergovernmental organization dedicated to the exploration of space. Established in 1975, ESA has grown to include 22 member states and employs over 2,200 staff members. The agency's mission is to shape the development of Europe's space capability and ensure that investment in space continues to deliver benefits to the citizens of Europe and the world. ESA operates in various domains, including Earth observation, human spaceflight, and satellite navigation, and collaborates with numerous international partners to advance space science and technology.

Job Overview:
The Internal Research Fellow position at ESA's Φ-lab focuses on advancing the integration of artificial intelligence (AI) and cognitive cloud computing technologies in space systems. The role involves conducting research that aims to enhance the autonomy and efficiency of Earth Observation (EO) satellite systems through innovative AI solutions. The fellow will work closely with a multidisciplinary team, contributing to the development of intelligent satellite constellations capable of autonomous decision-making and real-time data processing. This position offers a unique opportunity to engage in cutting-edge research that addresses global challenges, such as climate monitoring and disaster response, while fostering collaboration with leading experts in the field.

Duties and Responsibilities:
The successful candidate will undertake a variety of responsibilities, including:

• Conducting advanced research on cognitive cloud computing and AI applications in space systems.
• Designing and implementing onboard AI systems for autonomous management of heterogeneous satellite constellations.
• Developing mission architectures and protocols for real-time decision-making under uncertainty.
• Collaborating with scientists and engineers across ESA to integrate AI technologies into existing EO frameworks.
• Engaging in outreach activities and mentoring junior researchers within the Φ-lab.
• Publishing research findings in high-impact journals and contributing to the scientific community.
• Supporting the definition and implementation of rapid prototyping activities and innovative EO solutions.
• Maintaining a continuous dialogue with international programs and initiatives in the field of space research.

Required Qualifications:
Candidates must possess a PhD in a relevant technical or scientific discipline, such as data science, AI, computer science, machine learning, aerospace engineering, Earth system science, or climate. Preference will be given to those who have completed their PhD within the last five years. Additionally, candidates should demonstrate sound knowledge of Earth observation, satellite systems, and AI technologies, as well as experience with programming languages like Python and deep learning frameworks such as TensorFlow or PyTorch. Strong interpersonal and communication skills are essential for collaboration in a multicultural environment.

Educational Background:
A PhD in a relevant field is required, with a focus on topics related to AI, machine learning, and Earth observation. The candidate should have a thesis that aligns with the objectives of the research fellowship, emphasizing innovative methodologies and technologies in space systems.

Experience:
The position requires candidates to have a strong research background, ideally with experience in AI and machine learning applications in space or related fields. Candidates should have a proven track record of conducting independent research and contributing to collaborative projects, demonstrating the ability to innovate and explore new avenues in their work.

Languages:
Fluency in English is mandatory, as it is one of the working languages of ESA. Knowledge of French is also required, and proficiency in another language from a Member State would be considered an asset.

Additional Notes:
This position is a full-time role based in Frascati, Italy, and is open to nationals from ESA member states. The application process requires candidates to submit a CV, a motivation letter, and a research proposal of no more than five pages. The deadline for applications is set for 3 June 2026 at 23:59 CET/CEST. The ESA is committed to diversity and inclusiveness in its workforce, welcoming applications from all qualified candidates regardless of gender, ethnicity, or other characteristics.