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ESR8: Micol Olocco (TU Dortmund)

  • 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 ESR8: Micol Olocco (TU Dortmund)

ESR8: Real Time Analysis for global event triggering in LHCb and manufacturing

APPLY FOR THIS POSITION

Project Description

Triggers in high energy physics first reconstruct objects (e.g. jets or tracks), and then perform a selection on these objects. Event triggers select based on overall (global) event properties, avoid time-intensive reconstruction, and permit searching for new physics in areas where traditional object-based selections are too slow. In order to implement event triggers, the PhD student in this project will receive training in deep learning of complex systems, as well as other modern ML and AI methods, and apply these methods to global analyses of HEP collisions in RTA. The PhD student will focus on deep learning techniques such as recurrent neural networks, which have shown great success in speech recognition or translation, and use them to improve global analysis tools.

The first objective will be to analyse the overall pattern of detector hits to identify events enhanced in interesting physical processes, building on promising initial studies by the Dortmund group. The PhD student will design a global trigger selection and benchmark its performance against a traditional object-based approach. This will be done in collaboration with the PhD student within the network at Nikhef. The experience in global event trigger selections will be used to collaborate with IBM France’s PhD student, comparing a symbolic approach with a purely stochastic ML one. With the internship at Point 8, the PhD student will work on a real-time data-analysis project in German industry that requires a global analysis of their manufacturing processes, for example by analysing client-provided data on real-time manufacturing prediction for industrial companies, applying similar techniques as in HEP. The physics analysis focus will be Lepton Flavour Universality violation in semileptonically decaying beauty mesons, which are abundant enough to allow the event trigger to be tested against more traditional approaches.

Host country: Germany
Host beneficiary: TU Dortmund
PhD-awarding institution: TU Dortmund
Experiment affiliation: LHCb
Planned collaborations: Point 8, Nikhef

ESR8 Image

Special requirements

If you are interested in this position, please apply also at this link specifying your interest for the SMARTHEP position with Johannes Albrecht as potential supervisor.

This is only a formal step, you will be in any case contacted through the central SMARTHEP recruitment system.

Offer

The duration and funding for this PhD position at TU Dortmund University is 3 years full time, with a status as MSCA ESR which includes a competitive salary, family and mobility and travel/training allowance. If necessary, extension for a fourth year based on local funds is foreseen.

Institute and supervisor information

TU Dortmund University

TU Dort­mund Uni­ver­sity has a strong focus on re­search. The uni­ver­si­ty’s disciplines, e.g. mechanical engineering with its emphasis on production and logistics, physics, biochemical- and chemical engineering, statistics and computer science, as well as education re­search, are well known for their outstanding re­search achievements both nationally and internationally.

Students at TU Dort­mund Uni­ver­sity can choose from classical subjects and in­no­va­ti­ve courses of study such as medical physics or degree programs in spatial planning, statistics and journalism. The department of computer science has a strong school of machine learning, with one of four German centres for artificial intelligence (Lamarr institute).

TU Dort­mund Uni­ver­sity attaches great importance to social and sustainable development – values to which it is strongly committed. As one of the largest employers in Dort­mund, the uni­ver­si­ty promotes the development and health of its mem­bers and supports good working conditions and equal opportunities.

Faculty of Physics Website

The Department of Physics com­bines excellent re­search in four main areas with a modern and fu­ture-oriented teaching concept. In addition to the classic Bachelor Physics and Master Physics programs, the de­part­ment offers a Bachelor’s and Master’s program in Medical Physics. The department also offers the only international MAster’s program in particle physics (as joint degree with Bologna and Clermont-Ferrand).

In re­search, the faculty has a focus on particle- and solid-state physics. Additional research areas include accelerator physics, with the Dort­mund Electron Storage Ring DELTA and the Center for Synchrotron Radiation as major facilities. Since 2015, the de­part­ment has been expanding its inter­dis­ci­plin­ary focus on medical physics. The Department of Physics is strongly committed to the promotion of its students and scientific staff. In addition to a catalogue of very concrete support measures, the de­part­ment facilitates in­ter­na­tio­nal exchange, e.g. within the frame­work of Erasmus or through the existing scientific networks.

The Dortmund Particle Physics and LHCb group

The successful candidate will work with the LHCb group at TU Dortmund University. The group is led by Johannes Albrecht and comprises more than 20 members, with three academic members of staff, and around eight research staff and fifteen PhD students.  The  group is strongly involved in many areas of LHCb, including the study of rare beauty decays and CP violation. The group also plays a major role in the LHCb trigger, as well as in upgrades to the tracking detectors and trigger. Close collaborations exist to the department of Computer Science, the group is associated to the Lamarr-Institute (German centre for artificial intelligence) and participates two collaborative research centres: CRC876 “Providing Information by Resource-Constrained Data” and CRC1491 “Cosmic Interacting Matters”.

The Dortmund High-Energy Physics group is also involved in ATLAS and astro-particle physics (Ice-Cube, Magic, CTA/LST and others). It has a strong theory group with a focus on beyond Standard Model physics of charm and beauty quarks.

Image of Johannes Albrecht

Main supervisor: Johannes Albrecht

Johannes Albrecht is a professor of particle physics at TU Dortmund University. Most of his career was focussed on the search for new phenomena in rare, leptonic and semileptonic beauty decays and on the development of novel trigger systems. Both are ideally pursued at CERN’s LHCb experiment. He has been funded by several major German (Emmy-Noether, Heisenberg) and EU (ERC StG PRECISION) grants, is principal investigator of two special research areas and an associated member of the newly founded Lamarr-AI institute.

Email Johannes | Website

Image of Gerhard-Raven

Collaborator: Gerhard Raven (Nikhef)

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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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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