Physicist data analysis KATRIN

PhD (65% part time) or Postdoctoral position (100% time), working on data analysis for the world’s-leading KATRIN neutrino‑mass experiment. The successful candidate (f/m/d) will contribute to cutting‑edge research at the interface of neutrino physics, data analysis, and modern scientific software.

• Access to unique data from a world‑leading experiment;
• a stimulating international research environment;
• opportunities to develop expertise in both data analysis and scientific software.

• Advanced data analysis of high‑impact experimental data from KATRIN;
• Development and optimization of analysis pipelines and workflows, particularly for neutrino‑mass measurement and searches of New Physics in KATRIN data;
• Maintaining and further developing analysis software, improving reliability, usability, and performance of analysis tools;
• Development of a simulation platform for next‑generation neutrino‑mass experiments (KATRIN++);
• Contribution to publications and conference presentations;
• Supervision of students and supporting the teaching process.

• University degree in physics (Master) with background in nuclear or elementary particle physics without or with doctorate;
• Advanced skills in data analysis and computational methods;
• Experience with scientific programming (e.g. Python, C++);
• Ability to work independently and in an international collaboration;
• Experience with distributed computing, or software development (optional);
• Good knowledge of spoken and written English.

Starting date: 01.06.2026

Salary:
Salary category 13 TV‑L, depending on the fulfillment of professional and personal requirements.

Contract duration: 3 years.

Contact person in line‑management:
Prof. Dr. Kathrin Valerius, phone ‑29014, email kathrin.valerius.

Please apply online via KIT – PSE – For applicants – Jobs – Joboffer‑Details – Physicist (f/m/d).

We prefer to balance the number of employees (/d). Therefore we kindly ask female applicants to apply for this job. Recognized severely disabled persons will be preferred if they are equally qualified.