Internal Research Fellow In Planetary Protection

ESACC

Noordwijk, Netherlands
On-site
Probabilistic frameworks
Mathematical frameworks for modeling
Risk-informed decision frameworks
The European Space Agency (ESA) is seeking an Internal Research Fellow in Planetary Protection to develop probabilistic models and frameworks aimed at preventing contamination in space missions. This position, based in Noordwijk, Netherlands, requires a recent PhD in a relevant field and emphasizes interdisciplinary collaboration and innovative research approaches

Job Summary

  • This fellowship aims to advance the development of a risk-informed decision culture at ESA and application of probabilistic frameworks in the planetary protection domain.
  • The Research Fellow in Planetary Protection primary role is to develop mathematical frameworks to be used for modelling the probability to 1) transfer harmful contamination to solar system bodies for robotic or crewed missions (or a combination of both); 2) transfer harmful contamination from outer space to Earth.
  • Support and represent ESA within the external scientific and technological communities.

Matching Summary

Match Score: 85

The European Space Agency (ESA) is seeking an Internal Research Fellow in Planetary Protection to develop probabilistic models and frameworks aimed at preventing contamination in space missions. This position, based in Noordwijk, Netherlands, requires a recent PhD in a relevant field and emphasizes interdisciplinary collaboration and innovative research approaches.

Skills & Requirements

Must-have

  • probabilistic frameworks
  • mathematical frameworks for modeling
  • risk-informed decision frameworks
  • AI applied to planetary protection
  • Python programming language

Nice-to-have

  • cleanroom operations experience
  • understanding contamination effects
  • knowledge of ESA priorities
  • multicultural environment adaptability

Key Requirements

  • PhD in data or computer science, machine learning, AI, statistics, mathematics, biophysics, bioinformatics
  • Recently completed PhD or close to completion
  • Within five years of receiving PhD
  • Experience with deep learning frameworks
  • Experience integrating multidisciplinary inputs
  • Good knowledge of English or French

Work Rights

Not specified

Tailored Resume

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