PhD Studentship in Bayesian Analysis, University of Cambridge, United Kingdom

Expires on: 05/18/2024

A full-time PhD position funded by UKRI is available for 36 months in the first instance within the context of the ERC doctoral network GLITTER. The project focuses on the development of modern antenna technology and radio instrumentation for GNSS-R and Radio Astronomy from space. The successful candidate will join a multidisciplinary team, benefit from various training events, and work closely with experts from PolyChord Ltd and the University of Cambridge’s Kavli Institute for Cosmology.

The project aims to revolutionize satellite configuration and data processing using Bayesian analysis and machine learning techniques. The PhD candidate will develop analysis tools for satellite earth observation, focusing on GNSS-R. Collaborating with experts from academia and industry, the candidate will explore optimization algorithms, Bayesian parameter estimation, likelihood-free inference techniques, and machine learning emulators.


  • MSc degree in Physics, Engineering, Mathematics, Computer Science, or related fields
  • Strong mathematical background and outstanding academic records
  • Excellent communication skills in English
  • Proficiency in Python programming & computing
  • Experience with Bayesian analysis, machine learning, and high-performance computing is desirable but not essential


  • CV (1 to 2 pages in pdf format)
  • List of grades/diplomas, certificates
  • List of referees (three at least)
  • Motivation letter

Please assemble the four documents in a *.zip file named starting with “DC12” and send it to with the subject line starting with [GLITTER_APPLICATION].

How to Apply:

Interested candidates should submit their applications via email to with the subject line starting with [GLITTER_APPLICATION].

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