Max Planck Institute for Nuclear Physics
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Postdoctoral Position in ATLAS Higgs Data Analysis Max Planck Institute for Physics in Germany
Degree Level
Postdoc
Field of study
Computer Science
Funding
Salary and benefits follow the German public service pay scale (TVöD Bund). The contract is initially for two years and may be extended according to German law and available funding.
Deadline
Oct 16, 2026
Country
Germany
University
Max Planck Institute for Nuclear Physics

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About this position
Postdoctoral position in experimental particle physics at the Max Planck Institute for Physics in Garching, Germany, focused on ATLAS Higgs data analysis at the LHC/CERN.
The successful candidate will join the ATLAS Muon Group and take a leading role in Higgs boson physics analyses with Run 3 data. The main research directions are off-shell Higgs boson production in decays to Z-boson pairs or Higgs decays to tau-lepton pairs, including work on hadronic-tau reconstruction. The group also works on FPGA-based trigger processors for the ATLAS muon spectrometer and future collider experiments.
Requirements: PhD in particle physics, substantial data analysis experience, strong programming skills, and familiarity with fitting methods and tools. Experience with modern machine-learning methods such as neural simulation-based inference or transformer architectures is considered an asset. Hardware activities are optional.
Funding: Salary and benefits are according to the German public service pay scale (TVöD Bund). The contract is initially for two years and may be extended depending on law and funding.
Application deadline: 2026-10-16. Apply via the online portal and include a motivation letter, CV with certificates, research statement, and publication list. Three referees should send reference letters directly to the listed contact.
Funding details
Salary and benefits follow the German public service pay scale (TVöD Bund). The contract is initially for two years and may be extended according to German law and available funding.
What's required
A PhD in particle physics is required, along with substantial experience in data analysis. 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 are valuable. Participation in the group’s hardware activities is optional but appreciated.
How to apply
Apply exclusively through the online application portal by 16 October 2026. Submit a motivation letter, CV with university certificates, a statement of research interests, and a publication list. Arrange for three referees to send reference letters directly to the contact email provided.
More information can be found here
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