Aix-Marseille Université (AMU) est une université pluridisciplinaire structurée autour de cinq grands secteurs disciplinaires (Arts, Lettres, Langues et Sciences Humaines ; Droit et Science politique ; Économie et Gestion ; Santé ; Sciences et Technologies et un secteur pluridisciplinaire). AMU forme 80 000 étudiants dans 18 composantes (facultés, écoles, instituts), réparties dans quatre départements (04, 05, 13 et 84) et 10 villes (en savoir plus : www.univ-amu.fr).

Le projet IDeAL, « Integration and Development at Aix-Marseille through Learning », porté par AMU et ses partenaires académiques, est lauréat du 3ème Programme d'Investissement d'Avenir. En lien direct avec l'Initiative d'Excellence, il vise, au cours des prochaines années, à développer

nos talents et à fédérer notre communauté en s'inspirant des meilleures pratiques internationales. Il permettra de faciliter et d'accélérer la mise en œuvre de CIVIS, l'alliance d'universités européennes, et des projets PIA tels PANORAMA, DREAM-U, AMPIRIC ou TIGER. Il fournira à la communauté les outils nécessaires pour faire face aux évolutions futures des métiers et des usages.

L'activité s'exerce dans le cadre du programme 2 du projet Idéal qui consiste en la mise en œuvre du centre de formation et de soutien aux données de recherche (CEDRE). Ce centre vise à répondre aux besoins de la communauté universitaire sur tous les aspects du cycle de la vie des données de la recherche en fournissant des services de soutien et de formation pour développer de nouvelles pratiques parmi les chercheurs, ingénieurs et étudiants dans tous les domaines scientifiques.

Ce centre est un pôle d'activité de la Direction Opérationnelle des Systèmes d'Information (DOSI) dédié à l'activité recherche. Il sera composé de trois divisions, une Division Technique de déploiement des services qui utilisera les ressources du Datacenter d'AMU, une Division Data, et une Division pédagogique.

En tant que responsable technique du projet Programme2/Idéal, l'ingénieur·e recruté·e assure le pilotage, la conception, le déploiement, la mise en œuvre et l'évolution d'architectures informatiques matérielles ou logicielles en partenariat avec les personnels du datacenter d'AMU ; il·elle met en œuvre et coordonne les moyens humains nécessaires à l'exécution des actions décidées par le chef de projet et garantit la cohérence et la pérennité de l'ensemble des moyens informatiques nécessaires au développement du centre de formation et de soutien aux données de recherche.

Activités principales :

- Élaborer et piloter le déploiement des moyens informatiques, matériels et logiciels et plus particulièrement des architectures des systèmes et réseaux d'information.

- Réaliser les études d'impact, le dimensionnement et le chiffrage des solutions préconisées et leur cohérence avec l'architecture existante

- Assurer le respect des normes et processus définis dans le cadre du schéma directeur technique

- Contrôler la fiabilité du système, la sécurité des données et définir les plans de secours

- Conduire les procédures d'appel d'offres et réaliser le suivi auprès des prestataires et des fournisseurs

- Intervenir en qualité d'expert dans les groupes de travail externes

- Effectuer une veille technologique

Voir la fiche cpmplète : https://www.cppm.in2p3.fr/ANNONCE_resp_technique_IDEAL.pdf

Applications are invited for a post-doctoral position in the ATLAS group at the Center for Particle Physics of Marseille (CPPM), France. The successful candidate is expected to work on the development of Artificial Intelligence (AI) algorithms applied to hardware processing units based on FPGAs for the phase II upgrade of the ATLAS detector.

CPPM is involved in several major projects in experimental particle physics, astroparticle, cosmology and interdisciplinary applications. The ATLAS group at CPPM gathers about forty-five people, including fifteen staff physicists and ten PhD students. The group played a major role in the design and construction of the electromagnetic end-cap calorimeters, the pixel detector and the trigger system, and pursues a strong R&D effort for planned future upgrades of the detector, notably for the Liquid Argon (LAr) calorimeter, as well as a key contribution to physics analysis in ATLAS.

The successful candidate is expected to take a leading role in the development of data processing algorithms allowing to efficiently compute the energies deposited in the LAr calorimeters in the high pileup conditions expected at the HL-LHC. These algorithms will be based on AI techniques such as recurrent neural networks and will be adapted to fit on hardware processing units based on high-end FPGA. The successful candidate will be responsible of designing the AI algorithms and assessing their performance. The candidate will also assess the effect of employing such algorithms for electromagnetic object reconstruction (especially at trigger level) and for benchmark physics analyses. She/he will work closely with the engineers designing the electronic cards at CPPM in order to adapt the AI algorithm to the specifics of FPGAs. Candidates with a strong interest for hardware will be encouraged to take part in the design of the firmware to program the FPGAs.

The position is for a fixed term of three years, and is based in Marseille, with frequent trips to Geneva. The starting date for the position is beginning 2021. Candidates should have a PhD in experimental particle physics by the date of appointment. Good communication skills are expected.

Candidates are invited to send their complete application package (CV, cover letter and statement of research interests, list of publications) to aad@cern.ch and monnier@in2p3.fr, and to arrange for three letters of recommendation to be sent directly to the same addresses. The review of applications will start in December 2020 and will continue until the position is filled. Applications received by 31st of December 2020 will receive full consideration.

Further inquiries about the CPPM ATLAS group and the position should be addressed to Georges Aad (aad@cern.ch) and Emmanuel Monnier (monnier@in2p3.fr).

The Centre de Physique des Particules de Marseille (CPPM) invites applications for a two-year postdoctoral research position in cosmology. The position is dedicated to research related to the Dark Energy Spectroscopy Instrument (DESI) survey. The CPPM cosmology team is involved in future experiments such as DESI, Euclid, Vera Rubin/LSST, and the LISA experiment.

DESI is a ground-based experiment at the Kitt Peak National Observatory Mayall 4m telescope. Starting observations in 2021, DESI will conduct a five-year survey designed to cover 14,000 deg2 and to map the large-scale structure of the Universe by measuring 30 million redshifts. DESI will perform stringent cosmological tests and will allow definitive tests of gravitational physics by constructing a unique redshift-space (3D) map of the large-scale structure of the Universe.

The research areas include the study of large-scale structure of the Universe, with particular emphasis on galaxy clustering or cosmic voids. Candidates with experience in cross-correlation analysis or cosmological probes combination using Cosmic Microwave Background or gravitational lensing are strongly encouraged to apply. The applicant should have a Ph. D. in astronomy/astrophysics/high energy physics, with expertise in (but not limited to): galaxy clustering; theoretical cosmology; gravitational lensing; and observational analysis of large datasets.

Interested candidates are asked to submit a CV, a research statement and a list of publications into a single pdf file to Dr. Stephanie Escoffier, escoffier@cppm.in2p3.fr. Applicants should also arrange for three letters of recommendation to be sent directly to Dr. Stephanie Escoffier. For full consideration, the application and recommendation letters must be received before February 8th, 2021. The position is expected to begin in Oct. 2021.

For further information please contact Dr. Stephanie Escoffier escoffier@cppm.in2p3.fr.

Included Benefits:

French national medical insurance, maternity/paternity leave, lunch subsidies, family supplement for children, participation to public transport fees, pension contributions.

Note that school is free in France for all children above 3.

In addition, CNRS offers free French lessons.

The Aix-Marseille Initiative of Excellence of the A*Midex university foundation is funding two postdoctoral positions at the Centre de Physique de Particules de Marseille (CPPM) for a duration of two years (+ one year extension possible) in the topic of observational cosmology. These positions are funded in the context of the DARKUNI project (P.I. Julian Bautista) which overall goal is to learn about the dark sector of the Universe from observations of the large-scale structures. In particular, we aim to measure the growth-rate of structures from a joint analysis of redshift-space distortions and peculiar velocities. The CPPM is active member of spectroscopic surveys DESI and Euclid and photometric surveys ZTF and Rubin-LSST.

We welcome applications of highly skilled candidates with experience in cosmology, scientific computing, statistics and data analysis. Experience with data from spectro/photometric surveys and galaxy clustering is highly recommended. We value candidates with good communication skills, willing to work as a team and in the context of large scientific collaborations. Candidates should have a PhD degree at the time of the start of the contract.

The first selected candidate is expected to spend at least 50% of their research time on the data analysis of DESI and/or ZTF surveys. The second selected candidate is expected to spend at least 50% of their research time on the data analysis preparation of Euclid spectroscopic data.

The candidates should send to bautista@cppm.in2p3.fr the following items :

- CV

- Research statement (3 to 5 pages)

- List of publications

- Two reference letters to be sent directly by the recommenders

Application deadline: 31 October 2021

Included Benefits: French national medical/dental insurance, maternity/paternity leave, lunch subsidies, family supplement for children, participation to public transport fees, pension contributions. School is free in France for all children above 3. French lessons are also offered by the institution.

Contract Period : 24 months

Expected date of employment : September 2021

Proportion of work : Full time

Remuneration : Between 2728 et 3145 euros according to experience

Desired level of education : PhD

Experience required : Indifferent

Missions

The research work is part of the TIARA project, which aims to provide an instrumental, methodological proof of concept on real data of the real time monitoring of the emission distribution of Gamma Prompts (GPs) in the context of hadrontherapy. A detection system placed around the patient - composed of an hodoscope and gamma detectors with a temporal resolution of 100 ps - provides time of flight measurements of the particles involved in the treatment. The first objective of the proposed mission is to exploit these data to be able to detect as soon as possible a significant divergence between the real treatment and the treatment plan (simulated upstream), and to stop the treatment if necessary. The final goal is to be able to estimate the distribution of GPs' vertices with a sufficient accuracy to adjust the treatment in real time with respect to the treatment plan. Access to this type of information could also pave the way for measuring the actual dose distribution delivered.

Activities

He/she will develop a research activity at the interface between data sciences and medical physics in order to explore applications of artificial intelligence for time-of-flight data in hadrontherapy. He/she will pursue the following main objectives: i) to improve our approach to 3D GPs vertex reconstruction based on an optimization problem that incorporates the physics of hadrontherapy (e.g. by analyzing simulated and real available data in order to incorporate suitable regularizations like low-rank+sparse). The results obtained at this stage will allow in particular to optimize the design of the instrument for a maximum spatial resolution; ii) to evaluate the contribution of machine learning and deep learning methods to jointly estimate the 3D distribution of GP vertices and the anatomical changes (i.e. of electron density) between the time of the treatment plan and the time of the actual treatment. This essential quantity is often estimated beforehand with significant uncertainties that must be compensated. Different strategies will be studied (transfer learning, use of Generative Adversarial Networks) and the most relevant ones will be evaluated on real data with the feedback of physicians and radiophysicists.

Skills

The candidate should have operational skills in data science, optimization methods and/or machine or deep learning.

Interest in applications in the medical field will be appreciated. Knowledge of the context and/or science of medical physics, specifically radio/hadron therapy will be appreciated.

Ability to work in an interdisciplinary environment.

Work Context

The researcher will be part of the TIARA project (Time-of-flight Imaging ARrAy for real-time monitoring in hadrontherapy) financed by the Inserm Cancer Plan, PCSI 2020 (Physics, Chemistry or Engineering Sciences applied to Cancer), a tripartite collaboration between the Laboratoire de Physique Subatomique \\& Cosmologie (LPSC) in Grenoble, the Centre de Physique des Particules de Marseille (CPPM) and the Centre Antoine Lacassagne (CAL) in Nice. In this project, the CPPM is responsible for the development of the data processing methodology.

He/she will benefit from the multidisciplinary, rich and stimulating work environment of the imXgam team, the CPPM and the Luminy Campus, including access to the know-how and computing facilities of the IN2P3 Computing Center.

Constraints and risks

The research work will be done in close collaboration with the LPSC team specialized in hadrontherapy physics and will require 1-2 days working visits at LPSC, Grenoble and CAL, Nice.

Additional Information

For more information, contact Yannick Boursier (boursier@cppm.in2p3.fr).

Application here : https://bit.ly/36n0skG