PhD position – Latent score-based particle filtering in high dimensions

Katholische Universität Eichstätt-Ingolstadt (KU), Ingolstadt, Germany
Closing date: 5 September 2026

Prof. Tijana Janjic, Heisenberg professor for data assimilation within the Mathematical Institute for Machine Learning and Data Science (https://www.ku.de/mids) at KU Eichstätt-Ingolstadt invites applications for a PhD student (m/f/d) position at the next possible starting date. The contract duration will be 3 years. The place of work shall be Ingolstadt, Germany. Renumeration will be according to appropriate E13 TV-L pay grade.

The successful candidate will work on the project entitled “Latent score-based particle filtering in high dimensions” funded by German Science Foundation (DFG) within “Intelligent Numerical Mathematics” initiative of NSFC and DFG. This is a project jointly with group of Prof. Y. Zeng, Nanjing University of Technology, Nanjing, China. The main goal of the project is to develop machine learning methodology for data assimilation.

Your profile

  • MSc in mathematics, meteorology or physics
  • Programming skills
  • Ability to work in a team
  • Ability to structure and pursue a successful research agenda on cutting edge topics
  • Flexibility and willingness to travel
  • Knowledge/experience with data assimilation or machine learning is beneficial but not required
  • German language skills are not required

 Your application

Please send your application with the usual supporting documents by e-mail to Prof. Dr. Tijana Janjic (tijana.janjic@ku.de) by 5 September 2026 (please combine all documents in one PDF file). Your documents should include cover letter, curriculum vitae and copies of transcripts and degree certificates. Applicants’ documents will be deleted after completion of the recruitment process in compliance with data protection regulations.

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