Doctoral Researcher E 13 TV-L- Visual Information Sampling in Berlin bei Science of Intelligence

Tasks

The project on "Visual information sampling using eye-movements and overt attention in dynamic scenes" builds on our previous work on "Object-level scene descriptions and attention in visual search". Combining eye-tracking experiments, computational modeling, and validation of the results in computer vision applications, we will investigate the relationship between the task, gaze behavior, and scene memorization.

The successful candidate will be involved in the computational modelling of scene representations based on scene graphs, of their formation during scene viewing, and of the interactions between scene representations and eye-movement patterns.

Requirements

Applicants must hold a successfully completed university degree (Master, Diplom or equivalent) in Computer Science, Computer Engineering, or related fields. Applicants should have very good programming skills, good knowledge of German and/or English required; willingness to acquire the respective missing language skills, a solid mathematical background, strong competence on computer vision, and a strong interest in visual perception. An additional background in psychology is an advantage.

How to apply

Candidates should upload their application preferably via the portal www.sciol.de/call-for-applications/open-positions with the reference number IV-738/23 in order to receive full consideration. For more information please see www.scienceofintelligence.de/call-for-applications/application-process/

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To ensure equal opportunities between women and men, applications by women with the required qualifications are explicitly desired. Qualified individuals with disabilities will be favored. The TU Berlin values the diversity of its members and is committed to the goals of equal opportunities.

Technische Universität Berlin - Die Präsidentin - Fakultät IV, Institut für Technische Informatik und Mikroelektronik, FG Computer Vision and Remote Sensing, Prof. Dr. Hellwich, Sekr. MAR 6-5, Marchstr. 23, 10587 Berlin

Please visit the website https://www.jobs.tu-berlin.de/en/job-postings/174962 for the legally binding German version.