[visionlist] PhD candidate position at TU Berlin: Synthesizing knowledge-augmented face perception

Olaf Hellwich olaf.hellwich at tu-berlin.de
Fri Aug 23 04:15:36 -04 2019

The Technische Universität Berlin invites applications for a PhD
position for the Cluster of Excellence "Science of Intelligence".

Faculty IV - Electrical Engineering and Computer Science / Cluster of
Excellence "Science of Intelligence"

Reference number: SCIoI-536/19 (starting at Oct. 01, 2019 / for 3 years
/ closing date for applications Sept. 06, 2019 / applications will be
considered until the position is filled)

What are the principles of intelligence, shared by all forms of
intelligence, no matter whether artificial or biological, whether robot,
computer program, human, or animal? And how can we apply these
principles to create intelligent technology? Answering these questions -
in an ethically responsible way - is the central scientific objective of
the new Cluster of Excellence Science of Intelligence
(https://www.scioi.de), where researchers from a large number of
analytic and synthetic disciplines - artificial intelligence, machine
learning, control, robotics, computer vision, behavioral biology,
psychology, educational science, neuroscience, and philosophy - join
forces to create a multi-disciplinary research program across
universities and research institutes in Berlin. Interdisciplinary
research projects have been defined
(https://www.scienceofintelligence.de/research/projects), which combine
analytic and synthetic research and which address key aspects of
individual, social, and collective intelligence.

Working field: Project: Knowledge-augmented face perception

Doctoral project: Synthesizing knowledge-augmented face perception

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.

- conducting experimental research in computer vision including
algorithm and software development

- interaction within the SCIoI Cluster of Excellencee

- compilation of the results for presentations, project reports, and

The position requires participation in research colloquia, lecture
series and workshops, as well as an active engagement in the Cluster‘s
research activities.

Requirements: Applicants must hold a successfully completed university
degree (Master, Diplom or equivalent) in Computer Science, Computer
Engineering or related engineering disciplines and should have proven
skills/background in following topics:
- computer vision and image analysis

- 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)

Applications should include: motivation letter, curriculum vitae,
transcripts of records (for both BSc and MSc), copies of degree
certificates (BSc and MSc), abstracts of Bachelor-, Masterthesis, 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.

Please send your written application with the reference number to
Technische Universität Berlin - Der Präsident - Fakultät IV, Institut
für Technische Informatik und Mikroelektronik, Computer Vision & Remote
Sensing, Prof. Dr.-Ing. Hellwich, Sekr. MAR 6-5, Marchstr. 23, 10587
Berlin or by e-mail to sekr at cv.tu-berlin.de.

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

Please send copies only. Original documents will not be returned.
The vacancy is also available on the internet at





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

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