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Reference : UMR7346-ANNPOR-051
Workplace : MARSEILLE 09
Date of publication : Thursday, November 12, 2020
Type of Contract : FTC Scientist
Contract Period : 36 months
Expected date of employment : 1 February 2021
Proportion of work : Full time
Remuneration : between 2728 € & 3881€ gross monthly depending of experience.
Desired level of education : 5-year university degree
Experience required : Indifferent
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.of LHC _Cern, Geneva
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.
Candidates should have a PhD in experimental particle physics by the date of appointment. A mastery of the software tools used in particle physics (C++, python...)Good communication skills are expected.
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.
Candidatesare invited to complete their application package with the list of publications and arrange for three letters of recommendation to be sent directly to the following addresses: email@example.com and firstname.lastname@example.org. The review of applications will begin in December 2020 and will continue until the position is filled. Applications received by December 31, 2020 will be given full consideration.
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