1. Launch of UPSaclay-STAR-phi Postdoctoral Fellowship Programme
2. Workshop on Bayesian Deep Learning for Cosmology and Time Domain Astrophysics, 20-23 May 2025, Paris, France
3. The Dusty Universe 2025: The Fifth Pan Dust Conference, 10-14 Nov 2025, University of Arizona, Tucson, USA
4. École Rodolphe Clédassou : La science des futurs grands relevés cosmologiques, 17-30 août, 2025, Montricher-Albanne, France
Envoyez svp vos propositions d’annonces à l’adresse : atcg@services.cnrs.fr
Pour vous inscrire ou gérer votre abonnement à la liste ATCG: https://listes.services.cnrs.fr/wws/info/atcg.newsletter
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1. Launch of UPSaclay-STAR-phi Postdoctoral Fellowship Programme
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The Graduate School of Physics at Université Paris-Saclay (France) is launching a new postdoctoral fellowship programme: UPSaclay-STAR-phi, supported by the EU Marie Curie COFUND programme.
The programme will recruit up to 41 international postdoctoral researchers over two calls, for 24-month research projects in one of the 40 laboratories of the Graduate School, at the SOLEIL synchrotron, or at the French National Metrology Lab (LNE). This includes 4 astrophysics laboratories: the Department of Astrophysics (DAp) of CEA Paris-Saclay, the Institut d’Astrophysique Spatiale (IAS), the Laboratoire Atmosphères et Observations Spatiales (LATMOS) and the Laboratoire de Physique des Plasmas (LPP).
- First call opens: May 1st, 2025.
- Application deadline: July 31st, 2025.
- Expected start of fellowships: early 2026 (flexible).
Applicants will propose their own research project aligned with the School’s wide-ranging fields, from fundamental to applied physics.
Notice that the postdoctoral candidate must not have been based in France for more than 12 months, during the past 3 years.
Website of the programme: http://www.cofund-physics.universite-paris-saclay.fr/
Transmis par Frédéric Galliano
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2. Workshop on Bayesian Deep Learning for Cosmology and Time Domain Astrophysics, 20-23 May 2025, Paris, France
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We are glad to announce the opening of the third edition of the workshop on Bayesian Deep Learning for Cosmology and Time Domain Astrophysics for registration. It will be held in Paris, France from May 20th to 23rd 2025.
The goal of this series of workshops is to bring together physicists and machine learning specialists to exchange recent results at the crossroads between cosmology, time-domain astrophysics and probabilistic machine learning frameworks to leverage uncertainties. The first day of the workshop will be structured as a school to introduce the Bayesian framework and probabilistic machine learning concepts. The rest of the workshop will alternate between keynote talks, topical presentations, interactive tutorials and poster sessions.
More information is available on the workshop website: https://astrodeep.net/workshop2025
Call for contributions : open until May 10th
Transmis par Guilhem Lavaux
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3. The Dusty Universe 2025: The Fifth Pan Dust Conference, 10-14 Nov 2025, University of Arizona, Tucson, USA
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The goal of this and previous similar meetings is to get the dust community together to review where we are, hear exciting new results, and make plans for the future. The meeting will encompass all aspects of dust investigations including observations, theory, modeling, and lab studies. Previous meetings have had 200+ attendees and we are planning the 2025 meeting to be of similar size.
This is the 5th meeting in the series of dust meetings that happen every 5 years. This 5th meeting is overdue. The previous meetings were:
- Astrophysics of Dust, Estes Park, Colorado, USA (2003)
- Cosmic Dust – Near and Far, Heidelberg, Germany (2008)
- The Life Cycle of Dust in the Universe, Taipei, Taiwan (2013)
- Cosmic Dust: Origin, Applications & Implications, Copenhagen, Denmark (2018)
The conference website is now open to the public: https://pandust2025.sciencesconf.org/
If you are interested in attending this conference, please submit your name and e-mail address using the following form, so we can send you updates on the conference: https://docs.google.com/forms/d/e/1FAIpQLSc0rExgYdBIQmiUC1BdwHZ58EYJapzWCqIy-ecPapg1q9_adg/viewform
SOC: Karl Gordon (chair), A. Andersen, A. Candian, A. De Cia, M. Decleir, F. Galliano, T. Henning, B. Hensley, F. Kemper, K. Misselt, D. Watson, A. Witt, T. Zafar
Transmis par Frédéric Galliano
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4. École Rodolphe Clédassou : La science des futurs grands relevés cosmologiques, 17-30 août, 2025, Montricher-Albanne, France
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Les inscriptions à la session 2025 de l’école “Rodolphe Clédassou : La science des futurs grands relevés cosmologiques” sont à présent ouvertes!
Inscriptions, programme et informations pratiques sur le site: https://eee2025.sciencesconf.org
L’école s’adresse aux doctorants, post-doctorants, chercheurs et ingénieurs intéressés par la cosmologie contemporaine. Elle se tient sur deux semaines et propose des cours intensifs répartis en trois cycles complémentaires, combinant théorie, observation et outils numériques.
Cycle 1 – Introduction à la cosmologie moderne
Ce cycle propose un panorama complet : instruments et méthodes (photométrie, spectroscopie), bases du modèle standard, lentillage gravitationnel, fond diffus cosmologique, formation des structures, matière noire et supernovae. Il inclut également des sessions sur les simulations cosmologiques, les techniques statistiques avancées, le machine learning et l’utilisation d’outils comme Python.
À l’issue du cycle 1, les participants peuvent approfondir leurs connaissances en suivant l’un ou les deux cycles avancés (OBS et TH). La participation aux deux parcours est vivement encouragée pour acquérir une vision complète et complémentaire des approches observationnelles et théoriques en cosmologie moderne:
Cycle 2-OBS – Observation, instrumentation et analyse de données
Il approfondit les approches observationnelles : lentillage gravitationnel, clustering des galaxies, simulations end-to-end avec effets instrumentaux, ainsi que les techniques de deep learning appliquées à l’extraction de signaux cosmologiques et à la reconstruction de cartes de masse.
Cycle 2-TH – Théories et modélisation cosmologique
Ce cycle met l’accent sur les fondements théoriques : énergie noire, gravité modifiée, spectre de matière, inflation, physique des amas, modèles de clustering et lentillage. Il aborde aussi les défis liés aux paramètres de nuisance, et présente les applications du deep learning dans un cadre théorique.
Transmis par Nicolas Clerc