TU Darmstadt is an autonomous university with broad research excellence, an interdisciplinary profile, and a clear focus on engineering as well as information and communication technology. It is one of Europe’s leading AI hotspots (see csrankings.org) and a unit in the European Laboratory for Learning and Intelligent Systems (ELLIS, ellis.eu). The Department of Computer Science is one of the most visible departments of TU Darmstadt and regularly ranks among the best CS departments in Germany.

The Visual Inference Lab (led by Prof. Stefan Roth, Ph.D.) at the Department of Computer Science of TU Darmstadt is offering a position starting 01.08.2022 as

Research Assistant/Doctoral Researcher (all genders) – Probabilistic Deep Learning

in the LOEWE Research Cluster “WhiteBox – Explainable models for human and artificial intelligence”. The position is initially limited to three years but can be extended by at most two more years.

The Visual Inference Lab (www.visinf.tu-darmstadt.de) carries out leading research in various areas of computer vision with an emphasis on using and developing machine learning/deep learning approaches and statistical methods. We develop models and algorithms, e.g., for semantic image analysis, motion estimation from videos, object recognition and tracking, as well as image restoration.

The LOEWE Research Cluster “WhiteBox” is focused on developing and systematically comparing so-called black-box und explainable white-box models for artificial and human intelligence. We develop both novel black-box and white-box models, and empirically compare them; to facilitate this, we also research new methods for obtaining explanations, which need not necessarily explain the entire black-box model but may also yield targeted insights. With applications to intelligent behavior in humans, we seek to better understand it through computational means and on the other hand to support explainable, human-like behavior in machines.

The open doctoral researcher position is concerned with combining deep neural networks as black-box approaches to visual perception with probabilistic and generative models with explicit and interpretable variables in order to better explain and understand them. Our open and internationally oriented team has access to state-of-the-art GPU facilities, including nvidia DGX machines, enabling outstanding research.

Your profile

  • Outstanding Masters degree (or equivalent) at a leading university in computer science, cognitive science, (applied) mathematics, electrical engineering, physics, or a related discipline
  • Advanced knowledge of computer vision, machine learning, and/or cognitive science is beneficial. More important, however, are outstanding mathematical and analytical skills, as well as programming experience
  • High intrinsic motivation, reliability, creativity, as well as the ability to discuss, formulate, and present scientific results in English
  • Significant potential for outstanding, independent research on challenging scientific problems as well as the ability for teamwork

Opportunity for further qualification (doctoral dissertation) is given. The fulfillment of the duties likewise enables the scientific qualifications of the candidate.

The Technische Universität Darmstadt intends to increase the number of female employees and encourages female candidates to apply. In case of equal qualifications applicants with a degree of disability of at least 50 or equal will be given preference. Wages and salaries are according to the collective agreements on salary scales, which apply to the Technische Universität Darmstadt (TV-TU Darmstadt). Part-time employment is generally possible.

Your application should contain a cover letter, curriculum vitae, as well as diplomas and transcripts (Master, Bachelor, and high school). Your cover letter should discuss your motivation and qualifications for the position. Moreover, please name at least two references, who would be willing to supply letters of recommendation. Please send electronic applications (in the form of a single PDF), referencing the code no., to Prof. Stefan Roth, Ph.D. (email: info@visinf.tu-darmstadt.de).

By submitting your application, you agree that your data may be stored and processed for the purpose of filling the vacancy. You can find our privacy policy on our webpage.

Code No. 412

Published on

June 21, 2022

Application deadline

July 05, 2022