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Technical University of Munich

Technical University of Munich

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PhD / Postdoc position (m/w/d) in statistical theory of deep learning (E13, 100%)

24.08.2021, Wissenschaftliches Personal

The group of Theoretical Foundations of Artificial Intelligence at the Department of Informatics of Technical University of Munich invites applications for the position of a full-time research position (PhD/postdoc) for conducting research in the statistical learning theory, specifically generalisation and consistency of neural networks.


Our research group focusses on the theoretical machine learning, particularly using techniques from mathematics and statistics to rigorously explain the behaviour of machine learning and deep learning algorithms. We are seeking a candidate (PhD or Postdoc) to conduct research on the statistical behaviour of semi-supervised and unsupervised deep neural networks. The project is a part of the DFG Priority Programme Theoretical Foundations of Deep Learning. The remuneration is according to German public sector rates (full-time position E13, 100%). The position is available immediately. 


For a PhD position, the candidate must have a master’s degree in computer science, mathematics or related fields with prior experience in statistics, learning theory or theoretical machine learning.  For a postdoctoral position, the candidate must have a doctoral degree related to the above topics, and a strong publication record.Expertise in theoretical subjects (either CS theory / statistics / mathematics) is essential. Good communication skills (oral and written) in English are required. Knowledge of German is not needed. 

TUM strives to raise the proportion of women in its workforce and explicitly encourages applications from qualified women. Applications from disabled persons with essentially the same qualifications will be given preference. 

Application procedure: 

If you are interested in working with us, please send the following documents by email to Debarghya Ghoshdastidar (ghosdas@in.tum.de). 

  • Single PDF file containing following details 
    • Letter of motivation explaining why you want to join our group (1 page)
    • Curriculum vitae (including list of publications if applicable)
    • Contact details of two or three referees (link to homepage, email address). Please do not attach their reference letters to your application
    • Certificates of bachelor/master/doctoral degrees, and all transcript of records. 
  • A second PDF file containing your latest thesis or one of your publications (must be in English) 

There is no deadline for application, and the position will be open till a suitable candidate is found. If your application is short-listed, we will contact you within two weeks. Due to large volume of applications, we cannot inform if your application is not selected for interview.

Data Protection Information:
When you apply for a position with the Technical University of Munich (TUM), you are submitting personal information. With regard to personal information, please take note of the Datenschutzhinweise gemäß Art. 13 Datenschutz-Grundverordnung (DSGVO) zur Erhebung und Verarbeitung von personenbezogenen Daten im Rahmen Ihrer Bewerbung. (data protection information on collecting and processing personal data contained in your application in accordance with Art. 13 of the General Data Protection Regulation (GDPR)). By submitting your application, you confirm that you have acknowledged the above data protection information of TUM.

Kontakt: ghoshdas@in.tum.de