1. Conseil Scientifique PNCG (30 Nov-1 Dec 2023)
2. Conference “Cosmo 21” (May 2024 Chania, Greece)
3. postdoc at Kavli IPMU (Japan)
4. CMB Divisional Fellow at LBNL
5. Two postdocs in RadioForegrounds+ at SISSA (Italy)
Envoyez svp vos propositions d’annonces à l’adresse : pncg@iap.fr
Pour vous inscrire ou gérer votre abonnement à la liste PNCG: https://listes.services.cnrs.fr/wws/info/pncg
1. Conseil Scientifique PNCG (30 Nov-1 Dec 2023)
Le conseil scientifique du PNCG aura lieu les 30 novembre et 1 décembre 2023 a Bordeaux.
Il procédera à l’évaluation des demandes de financement de l’appel à projet 2024.
Les résultats seront communiqués début 2024.
transmis par le bureau du PNCG
2. Conference “Cosmo 21” (May 2024 Chania, Greece)
The Cosmo21 series began in Lisbon in 2014, as an IAU Symposium, and was last held in Valencia in 2018. Since then much has changed in the statistical analysis of cosmological data, with a large rise in the use of machine learning techniques in particular. Bayesian Hierarchical modelling, using field-level inference, has been increasingly widespread, and simulation-based (or likelihood-free) inference is growing rapidly in the field, to tackle the complexity of low-redshift data whose (non-gaussian) statistical properties may be very poorly-known. Allied to that has been an increased interest in extreme data compression such as MOPED and more general score compression, to reduce the dimensionality for SBI. Furthermore, ‘information-maximising’ neural network techniques for finding highly informative summary statistics is emerging as an effective technique for extreme data compression for data whose statistical properties are unknown. Machine learning techniques are also coming to the fore in characterising the complex posterior distributions, such as using neural ratio estimation (as one of a number of options), and often using variational inference techniques such as normalising flows. With the advent of automatic differentiation, differentiable forward models are also emerging as powerful tools for Bayesian inference. And finally, interpretable machine learning is one that is beginning to challenge researchers in our field as elsewhere. This methodological development is accompanied by an upcoming explosion of data, expected from Euclid and the Rubin Observatory, and in due course the Roman Space Telescope and the Square Kilometre Array, to add to the current and recent survey data from KiDS, DES, HSC, and DESI, for example.
The 4th edition of Cosmo21 will be hosted in Chania, Greece and will gather leading experts from around the world in statistical methods and cosmology to discuss the state-of-the-art in data analysis and interpreptation. Highlights will include topics such as Bayesian techniques, machine learning, likelihood-free inference, radio data, strong and weak gravitational lensing, joint probes, and gravitational waves. The organisers also hope to attract participants to discuss other novel developments in the field.
https://cosmo21.cosmostat.org/
3. postdoc at Kavli IPMU (Japan)
Deadline: December 1, 2023
The Kavli Institute for the Physics and Mathematics of the Universe (Kavli IPMU) at the University of Tokyo solicits applications for its Postdoctoral Fellowship program.
https://academicjobsonline.org/ajo/jobs/25554
Established in 2007, the Kavli IPMU aims to discover the fundamental laws of nature and to understand the universe by bringing together mathematicians, statisticians, theoretical and experimental physicists, and astronomers. We are seeking for candidates who are interested in our broad range of scientific disciplines and in interacting with people across disciplines.
Our postdoctoral fellows are for three years and provided with salary comparable to those at other prestigious institutions. They receive generous travel support and are encouraged to travel internationally, visit other institutions, and attend conferences, up to 3 months every year.
Our postdoctoral fellows have opportunities to conduct research in astrophysics, cosmology, high energy physics, mathematics, theoretical physics, science communication and public policy.
Details on our research programs can be found here
https://www.ipmu.jp/research-activities/research-program
English is the official language of the Kavli IPMU and more than half of its full-time scientific members come from outside of Japan. We are building a diverse community of scientists in an international atmosphere where everyone feels at home. We strongly encourage female and international applicants.
We encourage all candidates to apply by December 1, 2023.
Applicants should submit curriculum vitae (with email address and citizenship), a statement of research interests, and a list of publications.
Applicants should also ensure that at least three letters of reference are submitted on their behalf.
They should be uploaded at Application Form
https://academicjobsonline.org/ajo/jobs/25554/apply
(You need to sign up with AcademicJobsOnline).
Email inquiries regarding the application process may be sent to academicjob-inquiry@ipmu.jp.
Transmis par T. Matsumura
4. CMB Divisional Fellow at LBNLDeadline: Dec 7, 2023The Physics Division at Lawrence Berkeley National Laboratory (LBNL) has an opening for a Cosmic Microwave Background Divisional Fellow who will make substantial contributions to the design, construction, operations and scientific analyses of the CMB-S4 project; collaborate with the scientific staff within the Division, the Laboratory and the international community; and supervise postdoctoral fellows and students. The Divisional Fellow position is an approximate equivalent to a tenure track junior faculty position.
The Physics Division invites applications from candidates with a record of accomplishment, creative ability, and outstanding promise in the field of Cosmic Microwave Background (CMB) cosmology. The appointment will be as a career-track position of up to five years with the expectation of promotion to a career position as a Senior Scientist. Exceptionally qualified scientists can be considered for appointment directly to Senior Scientist.
A successful candidate should have an outstanding and broad program in cosmology with a research focus in the area of the Cosmic Microwave Background (CMB). We welcome applicants with expertise in any of the areas of instrumentation, simulation, data management and/or analysis. The candidate is expected to interact with both the theoretical and experimental communities at Berkeley and beyond and have a commitment to encouraging equity and inclusion. Additional criteria in the search are potential for leadership in the field, ability to mentor early career scientists, and service in the scientific community.https://jobs.lbl.gov/jobs/cosmic-microwave-background-divisional-fellow-6145transmis par K. Rushing
5. Two postdocs in RadioForegrounds+ at SISSA (Italy)
Deadline: Dec 15, 2023
The Astrophysics & Cosmology Group at SISSA (Trieste, Italy) invites applications for two Post-Doctoral Positions with the European Program RadioForegrounds+, within the New Horizons Space Program, which will last for three years starting on January 1st, 2024. The aim of the project is to provide the best possible characterization of the physical properties of polarized emissions in the microwave domain, together with an unprecedentedly thorough description of the intensity signal. This legacy information will be essential for future sub-orbital or satellite experiments targeting the B-Mode of Cosmic Microwave Anisotropies for the measurement of Cosmological Gravitational Waves and Lensing.
Positions can start anytime in 2024. The program is coordinated by CSIC-IFCA (Santander), and includes, in addition to SISSA, IAC in Spain, CNRS in France, Universities of Manchester and Oxford in UK. Post-Doc positions will be available at all nodes. Applicants at SISSA are expected to work on the exploitation of current modeling and data analysis for predicting the detectability of B-Modes in forthcoming observations.
https://academicjobsonline.org/ajo/jobs/26451
transmis par C. Baccigalupi
Envoyez svp vos propositions d’annonces à l’adresse : pncg@iap.fr
Pour gérer votre abonnement à la liste PNCG: https://listes.services.cnrs.fr/wws/info/pncg