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ESR5: Fotis Giasemis (Sorbonne University)

  • ESR1: Patin Inkaew (University of Helsinki)
  • ESR5: Fotis Giasemis (Sorbonne University)
  • ESR7: James Gooding (TU Dortmund)
  • ESR8: Micol Olocco (TU Dortmund)
  • ESR6: Daniel Magdalinski (VU Amsterdam)
  • ESR2: Laura Boggia (IBM and Sorbonne University)
  • ESR3: Leon Bozianu (University of Geneva)
  • ESR4: Sofia Cella (CERN and University of Geneva)
  • ESR11: Henrique Piñeiro Monteagudo (Verizon Connect and UniBo)
  • ESR12: Pratik Jawahar (University of Manchester)
  • ESR10: Joachim Carlo Kristian Hansen (Lund University)
  • ESR9: Carlos Cocha (University of Heidelberg)
Home Early Stage Researchers ESR5: Fotis Giasemis (Sorbonne University)

ESR5: RTA on heterogeneous architectures for LHC and self-driving cars

APPLY FOR THIS POSITION

Project Description

The student within this project will be trained in programming for heterogeneous computing architectures, and in simultaneously optimizing data formats and processing techniques to enable hybrid architectures to work together to solve problems which none of these technologies could solve on their own, in partnership with a number of computing hardware companies. The main focus of the PhD will be on CPU and GPU systems, as that is the chosen solution for the LHCb collaboration’s trigger. Experts at LPNHE will contribute to enhance the PhD training in the FPGA aspect. The PhD student will work on a novel ML method for optimizing heterogeneous computing architectures, and deploy it in the context of the specific requirements of real-time data processing in the LHC collaborations, in collaboration with the other students based in the Paris area. This optimization code will then be applied to the specific problems of the LHCb and ATLAS real-time data-processing architectures. The expertise in hybrid architectures and ML be employed in commercial collaborations between CERN and self-driving car companies, and on traffic predictions in collaboration with Ximantis.

Host country: France
Host beneficiary: Sorbonne University
PhD-awarding institution: Sorbonne University, PhD in experimental particle physics
Experiment affiliation: LHCb
Planned collaborations:CERN, Ximantis

ESR: Fotis Giasemis

I have always been fascinated by fundamental physics questions. SMARTHEP will combine this fascination with my enthusiasm for programming, technologies and artificial intelligence. As part of this diverse team, not only will I achieve a lifelong dream of contributing to the forefront of science and becoming part of a CERN collaboration, but at the same time I will be trained on cutting-edge technologies that have a large-scale impact on the industry. Furthermore, I will have the comfort to do plenty of traveling to attend conferences and summer schools to expand my knowledge, share my work and make connections. 

My goal for this programme will be to provide the best possible results, in the given amount of time, for the CERN experiments and the industry, and eventually to contribute to the furthering of our understanding of nature at the fundamental level, by working hard, consistently and persistently. Equipped with this PhD, I will be able to continue my research career either in academia, at CERN, or the industry.

Institute and supervisor information

LPNHE/LIP6

The Laboratory for Nuclear and High-Energy Physics (LPNHE) and the Laboratory of Informatics Paris 6 (LIP6) are located within 100 metres of each other inside Sorbonne University’s Jussieu campus. They will act as your co-hosts during this PhD: your office will be in LPNHE but you will regularly meet and interact with LIP6 researchers.

LPNHE is a particle, astroparticle, and nuclear physics laboratory within the IN2P3 institute of CNRS, with around 110 researchers and support personnel. The laboratory participates in several world-wide experiments (ATLAS, LHCb, Auger, LSST, etc.), and local teams are formed around each experiment. The LHCb team, in which you will be embedded, consists of 7 tenured researchers, two electronics and two software engineers, as well as two postdoctoral researchers and five doctoral students. This “inverted pyramid” of teams principally staffed by tenured researchers is a feature of French research which distinguishes it from many other European countries, and means that doctoral students have a wealth of experience and mentoring to draw on beyond their direct thesis advisor.

The LPNHE laboratory is attached to the Sorbonne Universite, a mega-university born from the merger of Universite Pierre et Marie Curie and Sorbonne University , whose campuses are in the heart of Paris. Sorbonne University is a fully multidisciplinary research-intensive university with three faculties: Humanities and Social Sciences, Medicine and Sciences & Engineering. With more than 53 400 students (among 10 200 international students), 4400 doctoral students and 6300 researchers, Sorbonne University is one of the leading French universities. The university is involved in numerous European and International partnership agreements and has France’s largest scientific library and infrastructures bringing together the best talent in a wide array of these disciplines. With 8,500 publications per year (approx. 10% of all publications in France), Sorbonne University is a major player in international knowledge and innovation economy, offering transversal academic and research programs.

LIP6, Sorbonne University and French National Center for Scientific Research, is a computer science research institute dedicated to the modeling and the resolution of fundamental problems driven by applications, as well as to the implementation and the validation through academic and industrial partnerships. LIP6 has four principal research axes:

  • Artificial intelligence and data science (AID)
  • Architecture, Systems, and Network (ASN)
  • Safety, security and reliability (SSR)
  • Theory and mathematics of computing (TMC)

The LIP6 lab hosts a large computing cluster, with both x86 and non-x86 (GPU/FPGA/hybrid) architectures, which the researchers can use in their work. The lab also has extensive facilities for designing new computing architectures, with dedicated support from a team of full-time experienced engineers for the work of researchers. Further computing resources including personal cloud storage are available, and access to all relevant scientific literature is provided.

image of Vladimir Vava Gligorov

Main supervisor: Vladimir Vava Gligorov

Vava spent his student years being bothered by quantum nonlocality, but eventually discovered that not being able to do maths would prove less of a problem if he became an experimental physicist. Now he divides his time between thinking about the myriad contradictions in our theories of the microscopic and macroscopic universe, and building real-time analysis systems to help LHCb probe these contradictions to ever higher precisions. He is also involved in the International Masterclass programme, trying to make the next generation as excited about fundamental science as he is.

Email Vladimir | Website | Twitter

ABOUT US

SMARTHEP is a network that connects the fields of High Energy Physics (HEP) and Data Science, especially in relation to the challenges of  processing large datasets using real-time analysis.

SMARTHEP is intended as a consortium formed by academic and industrial partners on scientific, technological, and entrepreneurship aspects of both HEP and Data Science.

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  • 21 January, 2018
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    RAPID Workshop – October 2018

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Email: smarthep-recruitment@cern.ch

 

SMARTHEP is funded by the European Union’s Horizon 2020 research and innovation programme, call H2020-MSCA-ITN-2020, under Grant Agreement n. 956086

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