Assistant Professorship (m_f) - Tenure Track

TU Wien
Vienna , Vienna
  • Job Type
  • Job Status
    Full Time

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Artificial Intelligence for Visual Computing

TU Wien is Austria's largest institution of research and higher education in the fields of technology and natural sciences. With over 26,000 students and more than 4000 scientists, research, teaching and learning dedicated to the advancement of science and technology have been conducted here for more than 200 years, guided by the motto "Technology for People". As a driver of innovation, TU Wien fosters close collaboration with business and industry and contributes to the prosperity of society.

The Faculty of Informatics at TU Wien invites applications for a full time Assistant Professor position (tenure track). The position is directed to Artificial Intelligence for Visual Computing and is affiliated to the Institute of Visual Computing and Human-Centered Technology. The estimated starting date is March 1, 2022. The work contract is initially limited to six years. The candidate and TU Wien can agree upon a tenure evaluation, which when positive, opens the possibility to change the position to Associate Professor with an unlimited contract.


The candidate should have extensive experience in diverse forms of learning from visual data like images, videos, 3D data and 4D data (e.g., CNNs, R-CNNS, SAEs, RNNs, Deep Belief, GANs, One Shot Learning). The exponentially increasing amount of 2D & 3D images and videos that forms the input of today's machine learning tasks leads to an explosion of dimensions in the artificial neural networks used. These cannot be handled by existing approaches, regardless of whether they use traditional handcrafted features or deep learning based ones.

The following non-exhaustive list highlights some potential topics of a successful candidate, who should have experience in at least two of them:

  • Compact and efficient representations in 3D (real-time) reconstruction
  • 3D point clouds
  • 3D object understanding
  • Neural rendering
  • Wearable/mobile devices with strict low-power constraints
  • Autonomous driving
  • Pose estimation
  • Biometric recognition systems
  • Environment embedded perceptual interfaces
  • Style transfer
  • Colorization
  • Action recognition
  • Semantic and instance segmentation
  • Biomedical image and video analysis
  • Adversarial attacks
  • Synthesizing images

Furthermore a successful candidate should pay special attention to:

  • Human-in-the-loop
  • Explainability and interpretability
  • Data set bias
  • Deep fakes and other ethical challenges of AI

The candidate should have experience in working with industry, relevant postdoctoral experience, and a compelling research vision. We are particularly interested in candidates working in areas that will complement our existing expertise and lead to fruitful collaborations with other members of the Faculty of Informatics and TU Wien in general.

Besides research, the duties of an Assistant Professor at TU Wien include graduate and undergraduate teaching (in English and German) as well as contributing to usual management and faculty service tasks.

  • TU Wien is among the most successful technical universities in Europe and it is Austria’s largest scientific-technical research and educational institution. The Faculty of Informatics, one of the eight faculties at TU Wien, plays an active role in national and international research and has an excellent reputation. The main areas of research include Computer Engineering, Logic and Computation, Visual Computing & Human-Centered Technology, as well as Information Systems Engineering.

Your profile:



  • PhD or doctoral degree in Computer Science or related subjects
  • Post-doctoral experience at a university or other research institution
  • An outstanding research and publication record
  • An excellent reputation as an active member of the international scientific community
  • Experience in raising research funds and managing scientific research projects
  • Experience in university teaching
  • Pedagogic and didactic skills
  • Administrative and organizational skills
  • Gender sensitivity and social skills


  • Leadership skills
  • If the candidate’s knowledge of German is not sufficient, the willingness to learn German is expected
  • Experiences in inter-disciplinary research

We offer:

  • Excellent working conditions in an attractive research environment
  • An attractive salary, including additional contributions to a pension fund
  • Support for relocating to Vienna (if required)
  • A position in a city with an exceptional quality of life
  • Central location of workplace with very good accessibility (U1/U2/U4 Karlsplatz)
  • Additional benefits for employees can be found at the following link: Fringe-Benefit Catalogue of TU Wien

TU Wien is committed to increasing the proportion of women in particular in leadership positions. Female applicants are explicitly encouraged to apply. Preference will be given to women when equally qualified, unless reasons specific to a male applicant tilt the balance in his favour.

People with special needs are equally encouraged to apply. In case of any questions, please contact the confidant for disabled persons at the university, Mr. Gerhard Neustätter.

The employment starts as University Assistant with a minimum salary of EUR 3,945.90 gross (14 x per year) according to the collective bargaining agreement for a PostDoc. After signing the qualification agreement, the employment continues as Assistant Professor with a minimum salary of EUR 4,666.30 gross (14 x per year).

General information can be found at the following links:

Applications have to include

  • A detailed curriculum vitae
  • letter of motivation
  • Certificates of doctoral and diploma degrees
  • teaching statement: 2 pages maximum
  • A research statement: brief summary of past research activities, as well as a convincing outline of planned research activities, and an explanation of their contribution to the scientific profile of the Faculty of Informatics; 4-6 pages maximum; incl. abstract
  • A list of publications and Copies of the applicant’s three most important publications related to the position together with an explanation of their relevance

We look forward to receiving your application until 09.09.2021.


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Assistant Professorship (m_f) - Tenure Track

TU Wien
Vienna , Vienna

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