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Internal Research Fellow (PostDoc) in Advanced onboard processing architectures for space systems

European Space Agency

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Posted over 30 days ago...

Join ESA's Data Handling Section to contribute to the field of advanced onboard data processing architectures for space systems.

Overview

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No salary declared πŸ˜”

icon Location

Noordwijk, NL

icon Expires

Expires at anytime

Organisation Summary

The Data Handling Section at the European Space Agency (ESA) is a reputable team that provides functional support to ESA projects and performs R&D for on-board hardware data handling solutions. This exciting and dynamic role provides the opportunity to work on innovative projects, including platform and payload data handling architectures, security, and AI applications for space.

Role Summary

  • Perform research in advanced onboard data processing architectures for space systems.
  • Possible research topics include assessing the performance and fault tolerance of neuromorphic hardware or designing AI algorithms for event reaction management.

Role Requirements

  • Applicants should be close to or recently completed a PhD in a related technical or scientific discipline.
  • For research topics focusing on neuromorphic hardware, knowledge and understanding of event-based sensors, neuromorphic hardware architectures, and AI-accelerator architectures are beneficial.
  • For research topics centered on ML and AI, strong knowledge of ML and AI architectures for hardware and software implementation is expected.
  • Applicants must have good knowledge of English or French. Knowledge of another Member State language is a plus.
  • ESA seeks to create an inclusive working environment and thus welcomes applications from diverse candidates.

Application Process Details

  • Alongside the CV and motivation letter, candidates should submit a research proposal of no more than 5 pages. This proposal should be uploaded in the 'additional documents' field of the 'application information' section.

Our team and mission The Data Handling Section provides functional support to ESA projects and carries out technological research and development (R&D) concerning turn-key on-board hardware data handling solutions. This includes platform and payload data handling architectures and their building blocks, units such as onboard computers, mass memories, remote terminals and instrument control units, digital and analogue signal processing electronics for payload/platform functions, front-end acquisition and processing chain electronics, onboard data transfer interfaces, buses and associated protocols (high, medium and low speed), platform data handling functions related to security, data authentication, encryption/decryption and compression, use of microelectronics devices (including COTS), implementation, inference, verification and validation of algorithms on processing hardware platforms for space applications in close collaboration with other discipline experts (software, microelectronics and applications engineers).

The main objective of the proposed Research Fellowship consists in carrying out research in the field of advanced onboard data processing architectures for space systems. In particular, one of the two following topics might be considered as the objective of this Research Fellowship: (a) Assessing the performance and fault tolerance of neuromorphic hardware; (b) Designing and developing one or more machine learning (ML) and artificial intelligence (AI) algorithms to support and enhance the autonomous event reaction management part of the fault detection, isolation and recovery (FDIR) software.

You should have recently completed, or be close to completion of a PhD in a related technical or scientific discipline. Preference will be given to applications submitted by candidates within five years of receiving their PhD. In addition to your CV and your motivation letter, please prepare a research proposal of no more than 5 pages. This proposal should be uploaded to the 'additional documents' field of the 'application information' section.

Depending on the topic selected for the research, the following technical competencies would be considered assets: For research topic (a): Knowledge and understanding of event-based sensors (cameras). Knowledge of neuromorphic hardware architectures Knowledge of AI-accelerator architectures Understanding of radiation effects in electronics For research topic (b): Good knowledge and understanding of ML and AI architectures for hardware and software implementation Understanding of FDIR concepts, as applied in on-board space systems Understanding of avionics and onboard data handling architectures.

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. Diversity, Equity and Inclusiveness ESA is an equal opportunity employer, committed to achieving diversity within the workforce and creating an inclusive working environment. We therefore welcome applications from all qualified candidates irrespective of gender, sexual orientation, ethnicity, beliefs, age, disability or other characteristics. Applications from women are encouraged.

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