[visionlist] Postdoctoral Project: Synthesizing knowledge-augmented face perception

[Olaf Hellwich]

https://short.sg/j/3421409

Description of the postdoctoral project
Face perception and categorization is fundamental to social
interactions. In humans, input from facial features is integrated with
top-down influences from other cognitive domains, such as expectations,
memories and contextual knowledge. In contrast to human perception,
automatic systems of face processing are typically based purely on
bottom-up information without considering factors as prior knowledge.
The aim of this project is therefore to bridge the gap between human and
synthetic face processing by integrating top-down components typical for
human perception into synthetic systems. The results of experiments
involving human subjects in combination with video recordings will be
used in deep learning training procedures aiming at the development of
computational models.

Responsibilities
Conducting experimental research in computer vision
Interaction within the SCIoI cluster of excellence
Compilation of the results for presentations, project reports, and
publications
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

Part of research project: Knowledge-augmented face perception

Principal Investigators
Olaf Hellwich, Rasha Abdel Rahman

FULL TIME,  With Professional-Experience 1/31/19
ID: SCIoI-41-19

Please visit the website https://short.sg/j/3421409

Prerequisites
Applicants must hold a PhD degree in Computer Science, Computer
Engineering or related engineering disciplines and should have proven
skills/background in following topics:

Computer vision and image analyses
In depth programming skills (C/C++, Python)
Laboratory experience using cameras and robotic camera platforms
Strong interest in psychology, visual perception and machine learning
Good command of the English language (spoken and written)

Duration: 3 years

Salary Level: E13 TV-L Berliner Hochschulen

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

Contact
Olaf Hellwich

-- 
Prof. Dr.-Ing. Olaf Hellwich
Technische Universität Berlin, Computer Vision @ Remote Sensing
MAR 6-5, Marchstr. 23, D-10587 Berlin, Germany
Tel. +49(0)30/314-22796; http://www.cv.tu-berlin.de