Bosch, PhD in Compositional Data Synthesis, Industry-on-Campus Lab (University of Tübingen)

  • Publication date
  • Closing date
  • Level of education
  • Salary indication




E13 TV-L, 80%

The Bosch Industry-on-Campus Lab, a research collaboration between the University of Tübingen and Bosch Center for AI (BCAI), invites applications for an open PhD position (m/f/d; E13 TV-L, 80%) in Compositional Data Synthesis.

The aim of this project is to learn how to synthesize new, previously unseen visual scenes through object compositionality. A bias to account for the compositional way in which humans structure a visual scene in terms of objects has frequently been overlooked. In this project, you will investigate object compositionality as an inductive bias for deep generative models, such as generative adversarial networks (GANs). Specifically, you will focus on how to generate novel unseen compositions of objects present in the training set.

You will be jointly supervised by Prof. Dr. Zeynep Akata from the University of Tübingen side and Dr. Anna Khoreva from the Bosch side.

The position is available immediately (but start date is negotiable), the contract is initially for three years, and remunerated according to the German salary scale 13 TVL.


About us

Roles & responsibilities

As part of the Bosch Industry-on-Campus Lab at the University of Tübingen, you are going to carry out AI research and develop novel deep generative models, learning to synthesize new data samples through the notion of compositionality. There will also be regular visits and interactions with researchers at Bosch Center for AI, who have an office on campus. At the University of Tübingen you will be supervised by Prof. Dr. Zeynep Akata and Dr. Anna Khoreva.

Your tasks will be to:

Develop new computer vision and/or deep machine learning methods on compositional data synthesis;

Collaborate with other researchers within the lab and BCAI Research;

Complete and defend a PhD thesis within the official appointment duration of three years;

Regularly present internally on your progress and help Bosch write patent applications to protect inventions from the lab when requested;

Regularly present intermediate research results at international conferences and workshops, and publish them in proceedings and journals;

Potentially assist in relevant teaching activities.

Master’s degree in Computer Science, Artificial Intelligence, Mathematics, or related field;

Strong background in computer vision and/or machine learning;

Excellent programming skills, preferably in Python;

Prior experience of working with deep learning libraries, such as PyTorch or TensorFlow;

Solid mathematics foundations, especially in probability theory, statistics, calculus and linear algebra;

High motivation and creativity;

Strong communication, presentation and writing skills and excellent command of English.

Prior publications in relevant vision and machine learning venues as well as experience working with deep generative models (e.g. VAEs, GANs, Flows) will be advantageous for your application.


We offer

You will have an opportunity to work jointly with the Tübingen academia talent and the industrial Bosch research team on challenging topics to create real world impact. 

Tübingen has an internationally renowned research community in artificial intelligence, machine learning and computational neuroscience, including the Cyber Valley Initiative, the Tübingen AI Center, and the Excellence Cluster Machine Learning. We are situated in the AI Research Building, in close proximity to the Max Planck Institutes for Intelligent Systems and Biological Cybernetics. Tübingen is a scenic university town on the Neckar river in South-Western Germany. The quality of life is exceptionally high and the atmosphere is diverse, inclusive, and most locals speak English. You can find out more about Tübingen here: