Astro-AI Analytics welcomes expressions of interest from motivated students and researchers whose interests connect with astrophysics, astroparticle physics, artificial intelligence, machine learning, and advanced data analysis. The group offers an interdisciplinary environment at the interface of scientific research and modern computational methods, with applications in high-energy astrophysics and multi-messenger astronomy.
Depending on the level and the project, opportunities may include Master’s internships, doctoral research, externally funded postdoctoral applications, and collaborations linked to the Graduate Schools of Earth Planet Universe and Artificial Intelligence and Data Science at Université Paris Cité.
Master’s students interested in research internships are encouraged to get in touch, especially if they are interested in astrophysics, astroparticle physics, artificial intelligence, machine learning, or advanced data-analysis methods applied to scientific data. Possible topics may involve source classification, time-series analysis, representation learning, event reconstruction, or parameter inference in high-energy astrophysics.
Internship possibilities depend on the student’s background, the timing, the scientific project, and the availability of institutional or external support. Students should send a short message including their current programme, academic background, research interests, and a brief CV.
For incoming M1- and M2-level opportunities, please consult the Graduate Schools page. Students enrolled in an M1 or M2 programme may also have the opportunity to undertake an internship as part of their curriculum.
Prospective doctoral students with strong interests in astrophysics, astroparticle physics, AI, or data-driven scientific methods are welcome to make contact to discuss possible PhD directions and funding routes. Research topics may involve machine learning for high-energy astrophysics, multi-messenger source studies, scientific inference, variability analysis, or advanced data-analysis pipelines.
Depending on the project and institutional framework, international co-supervision or cotutelle arrangements may also be possible with partner universities. Candidates are invited to send a summary of their academic background, research interests, and a CV.
The STEP'UP PhD School is part of the Graduate School Earth Planet Universe. Information about the annual competition to obtain a three-year PhD scholarship may be found here: https://ed560.ed.univ-paris-diderot.fr/en/application-procedure/.
Prospective postdoctoral researchers whose work connects with the activities of Astro-AI are warmly encouraged to get in touch. In some cases, it may be possible to explore applications through external fellowship schemes, including European and national programmes such as the Marie Skłodowska-Curie Actions.
Candidates with a strong research profile and a clear project idea in areas related to the Astro-AI expertise are welcome to contact me to discuss possible fellowship applications or other externally funded opportunities.
Please include a brief description of your research interests and experience, together with a CV.