Description of the Doctoral Project

In this project we will explore the hypothesis that object-level attentional units are essential mid-level factors which guide human eye-movements in visual scene analysis. Based on eye-fixation data from visual search tasks we will first build computational models to emulate the measured fixation sequences, to quantify the influence of different low- and high-level visual features, and to characterize the influence of task-driven changes in object-based attention processes. In a second step, plausible models will be integrated as “attentional modules” into a computer vision system for visual scene analysis and will be evaluated in terms of task success and the number of computations involved. Potential achievement of the project is an efficient real-time analysis of dynamic visual scenes.

Responsibilities

Responsibilities include scientific research within the project and academic services in the Cluster. PhD position includes the enrollment in the Cluster’s doctoral program. All positions require participation in research colloquia, lecture series and workshops, as well as an active engagement in the Cluster’s research activities.

Project start date: October 1, 2019

ID: SCIoI-38-19

Please visit the website https://www.personalabteilung.tu-berlin.de/menue/jobs/stellenausschreibungen/, which gives you access to the legally binding German version.

Prerequisites

Applicants must hold a Master degree in Computational Neuroscience, Computer Science, Physics, Mathematics, or related fields. Applicants should have very good programming skills, a solid mathematical background, competence in machine learning, and a strong interest in visual perception.

Contact
Klaus Obermayer

Duration, Salary and Required Application Documents

Duration: 3 years

Salary Level: E13 TV-L Berliner Hochschulen (Charité Ä1)

SCIoI is committed to equal opportunity, diversity, and inclusion. We are especially interested in candidates who can contribute to the diversity and excellence of our research community.

Applications should include:

• motivation letter
• curriculum vitae
• transcripts of records (for both Bachelor and Master)
• copies of degree certificates (Bachelor, Master, doctoral if applicable)
• abstracts of Bachelor, Master and (if applicable) doctoral thesis
• list of publications and one selected manuscript (if applicable)
• two names of qualified persons who are willing to provide references
• and any documents candidates feel may help us assess their competence

Applicants wishing to apply for several projects need to upload separate applications for each project.

Application Deadline: February 15, 2019

Please apply here.