Postdoctoral position - ATLAS Higgs data analysis (f/m/d)

Max-Planck-Gesellschaft zur Förderung der Wissenschaft e.V Max-Planck-Institut für Physik; Garching bei München; Vor Ort; EUR 60.000 - 70.000; Vollzeit

Zusammenfassung

The Max Planck Institute for Physics invites applications for a postdoctoral position in experimental particle physics to work on Higgs data analysis within the ATLAS Muon Group.

The successful candidate will lead Higgs boson analyses with Run 3 data, focusing on off-shell Higgs production in decays to Z-boson pairs or Higgs decays into tau leptons, and advance hadronic-tau reconstruction. Hardware work is optional but welcomed.

Qualifikationen

• PhD in particle physics and substantial experience in data analysis are required.
• Strong programming skills are expected.
• Experience with modern machine-learning techniques such as neural simulation-based inference or transformer architectures is valuable.
• Familiarity with fitting methods and tools is advantageous.

Aufgaben

• Lead ATLAS Higgs boson analyses with Run 3 data.
• Focus on off-shell Higgs production in decays to Z-boson pairs or Higgs decays into tau leptons, including hadronic-tau reconstruction.
• Contribute to other ATLAS physics topics depending on expertise.
• Participation in hardware activities is optional but appreciated.

Kenntnisse

Data analysis

Programming

Machine learning

Transformer architectures

Neural simulation-based inference

Ausbildung

PhD in particle physics

Jobbeschreibung

Postdoctoral position - ATLAS Higgs data analysis (f/m/d)

The Max-Planck-Institute for Physics is engaged in fundamental research in particle and astroparticle physics from both experimental and theoretical perspectives. One main research activity is the participation in the ATLAS experiment at the Large Hadron Collider (LHC) at CERN.

We invite applications for a postdoctoral position in experimental particle physics to work on Higgs data analysis within our ATLAS Muon Group. Our long-standing analysis program focuses on exploring the properties of the Higgs boson and searching for physics phenomena beyond the Standard Model. In parallel, the group is engaged in hardware activities related to the development and implementation of new FPGA-based trigger processors, both for the operation of the ATLAS muon spectrometer during the high-luminosity phase of the LHC and for future collider experiments.

The successful candidate is expected to play a leading role in ATLAS Higgs boson physics analyses with Run 3 data, with a primary focus on either off-shell Higgs boson production in decays to Z-boson pairs or Higgs decays into tau lepton pairs, including the corresponding advancement of hadronic-tau reconstruction. Work on other ATLAS physics topics may also be considered depending on the candidate’s expertise.

A PhD in particle physics and substantial experience in data analysis are required. Additional valuable assets include strong programming skills, experience with modern machine-learning techniques such as neural simulation-based inference or transformer architectures, and familiarity with fitting methods and tools. Participation in the hardware activities of the group is optional but appreciated.

Salary and benefits are according to the German public service pay scale (TVöD Bund). The contract is initially limited to two years and can be extended in accordance with German law and available funding.

The Max Planck Society strives for gender equality and diversity. The Max Planck Society is committed to increasing the number of individuals with disabilities in its workforce and therefore encourages applications from such qualified individuals. Furthermore, the Max Planck Society seeks to increase the number of women in those areas where they are underrepresented and therefore explicitly encourages women to apply.

For questions concerning the position, please contact Dr. Sandra Kortner ([e-mail]).

Max Planck Institute for Physics

(Werner Heisenberg Institute)

Human Resources

Boltzmannstraße 8

D-85748 Garching bei München

Germany

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