The GRAVIT-AI project is seeking a highly motivated PhD candidate to work on developing novel artificial intelligence methods for gravitational wave signal detection and analysis.

Research Project

This PhD position is part of the GRAVIT-AI ARC project, focusing on Work Package 2: Denoising and Signal Enhancement. The successful candidate will develop and implement machine learning algorithms to improve the signal-to-noise ratio in gravitational wave detectors.

Key Objectives

  • Develop deep learning architectures for gravitational wave denoising
  • Investigate uncertainty quantification in AI-based signal processing
  • Collaborate with international gravitational wave detection teams
  • Publish results in top-tier scientific journals and conferences

Required Qualifications

  • Master’s degree in Physics, Applied Mathematics, Computer Science, Engineering, or related field
  • Strong background in signal processing and/or machine learning
  • Proficiency in Python and scientific computing libraries (NumPy, SciPy, PyTorch/TensorFlow)
  • Excellent written and oral communication skills in English
  • Ability to work independently and as part of an interdisciplinary team

Desired Skills

  • Experience with gravitational wave data analysis (LIGO, Virgo, KAGRA)
  • Knowledge of Bayesian inference and statistical methods
  • Familiarity with high-performance computing and GPU programming
  • Previous research experience demonstrated through publications or thesis work

What We Offer

  • 4-year fully funded PhD position at UCLouvain, Belgium
  • Competitive salary according to Belgian university standards
  • Access to state-of-the-art computing infrastructure
  • Collaboration with leading international research groups
  • Opportunities to attend conferences and workshops
  • Vibrant research environment at ICTEAM institute

Application Process

Please submit the following materials:

  1. Curriculum Vitae (including list of publications if applicable)
  2. Cover letter explaining your motivation and research interests
  3. Academic transcripts (Bachelor’s and Master’s degrees)
  4. Contact information for two references

Start Date

Flexible start date between September 2026 and January 2027.

About GRAVIT-AI

GRAVIT-AI is an ARC (Actions de Recherche Concertées) project funded by the Fédération Wallonie-Bruxelles, bringing together experts in signal processing, machine learning, and gravitational wave physics from UCLouvain and partner institutions.