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PhD student position "Computer vision and multi-modal learning"

29.10.2024, Wissenschaftliches Personal

The multi-modal learning group is seeking to fill a PhD position in computer vision and multi-modal learning. We aim at advancing video understanding from multiple data modalities, such as sound, vision, and text.

About us

The junior research group is led by Dr. Almut Sophia Koepke, and attached to the Munich Center for Machine Learning (MCML). We are located at the Chair of Computer Vision and Artificial Intelligence at TUM, headed by Prof. Dr. Daniel Cremers.


Your tasks and responsibilities

  • You will develop a PhD research project in multi-modal machine learning with sound, vision, and language.
  • The ideal starting date is as soon as possible.

Your qualifications

  • Master’s degree or equivalent in one of the following fields: computer science, artificial intelligence, machine learning, electrical engineering, mathematics, statistics, data science, or physics.
  • Strong programming skills and solid mathematical background.
  • A very good command of the English language.
  • Enthusiasm for research. 

Benefits

  • We offer a fully funded position as academic staff with the opportunity to pursue a doctoral degree. Payment will be based on the Collective Agreement for the Civil Service of the Länder (TV-L E13). The project funding will initially run until 30.09.2027 with a possible extension. 
  • TUM strives to raise the proportion of women in its workforce and explicitly encourages applications from qualified women. 

To apply 

Please send your application with supporting documents (i.e. cover letter, CV, B.Sc./M.Sc. transcripts, research statement, and names and contact information for two referees) to [removeifyouarehuman]a-sophia.koepke@tum.de with the subject [2024 PhD application MuMoL TUM].

Application deadline: November 29th, 2024.


The position is suitable for disabled persons. Disabled applicants will be given preference in case of generally equivalent suitability, aptitude and professional performance.

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: a-sophia.koepke@tum.de

More Information

https://akoepke.github.io/mumol.html