[PhD position] Theory of Deep Learning at TU Munich

[Debarghya Ghoshdastidar]

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 doctoral position for conducting research in the statistical theory of deep learning. 

The position is funded through a project under the DFG Priority Programme Theoretical Foundations of Deep Learning and remuneration is according to German public sector rates (full-time position E13, 100%). The position is available immediately. 

Research: 

The 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. The candidate will conduct research on the statistical behaviour of semi-supervised and unsupervised deep neural networks.

Qualification: 

The candidate must have a master’s degree in computer science, mathematics or related fields with prior experience in statistics or theoretical machine learning. 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 (ghos...@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 master and bachelor degrees, school leaving examination, and all transcript of records. 

• A second PDF file containing your latest thesis or one of your publications 
  

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:

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