Dear Master’s students, colleagues,
Please, see information about a fully funded PhD position opportunity at the Mathematical Institute for Machine Learning and Data Science (https://www.ku.de/mids), KU Eichstätt-Ingolstadt. Feel free to forward the information to anyone who may be interested.
Thank you!
Best wishes, Palina
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 “Uncertainty-aware and physics-informed machine learning for short range atmospheric forecasts” funded by Klaus Tschira Foundation. This is a twin project, jointly with group of Prof. Hüllermeier, LMU, Munich, Germany. The main goal of the project is to develop machine learning methodology specifically tailored to the task of forecasting and uncertainty quantification on the convective scales.
Your profile - MSc in physics, mathematics or meteorology, - 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.demailto:tijana.janjic@ku.de) by October 15th, 2024 (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.
-- Palina Salanevich, Assistant Professor, Mathematical Institute, Utrecht University https://www.uu.nl/staff/PSalanevich (she/her/hers)