[visionlist] Fully funded PhD and PostDoc Positions in Computer Vision and Machine Learning for HCI (University of Stuttgart, DE)
andreas.bulling at vis.uni-stuttgart.de
Sat Aug 11 00:29:28 -05 2018
Applications are invited for several full-time PhD and postdoctoral
research positions in the areas of Human-Computer Interaction, Computer
Vision, and Applied Machine Learning in the Department of Computer
Science at the University of Stuttgart, Germany.
Positions are fully funded, in part by an ERC Starting Grant, and are
available to applicants of any nationality.
A successful candidate has a strong technical background in one or both
of the following areas:
- Machine learning, e.g. deep learning, generative models,
- Computer vision or graphics, e.g. egocentric vision, 3D face
modelling, scene understanding, pose estimation, object
A strong interest in applying these methods to human-computer
interaction, for example intelligent user interfaces, cognitive systems,
or computational interaction, is required.
Excellent programming skills in C++ or similar languages are expected.
Experience with Python, MATLAB, or CUDA is beneficial.
Fluent English written and presentation skills are essential.
ABOUT THE UNIVERSITY OF STUTTGART
The University of Stuttgart is cradled in what is simultaneously one of
Germany's most beautiful landscapes and one of Europe's most
economically successful areas. The region is known for a high standard
of living, beautiful surroundings, and easy access to other major
metropolitan areas. The university is one of the top nine leading and
oldest technical universities (TU9) in Germany and consistently ranked
among the world's best universities in international rankings. The
University of Stuttgart is part of the Cyber Valley initiative
(https://cyber-valley.de/en), a new center for artificial intelligence
research that brings together partners from science and industry to
boost intelligent systems research and development in the
Stuttgart-Tübingen region, specifically in the areas of machine
learning, robotics, and computer vision.
The Department of Computer Science is located on the university campus
in Stuttgart Vaihingen. It is devoted to cutting-edge research in
computer science ranging from foundations (algorithms, programming
logics, computer architecture) to a variety of application domains
(computer vision and graphics, machine learning and robotics,
intelligent systems). With its vibrant research environment and its
attractive Bachelor and Master programs, the Department attracts top
students from all over the world. The department offers a stimulating,
competitive, and collaborative work environment. It is equipped with
high-class research facilities and has links to leading international
companies in and around Stuttgart (e.g. Bosch AI, Mercedes-Benz,
ABOUT THE GROUP
The newly established research group, relocating from the Max Planck
Institute for Informatics in Saarbrücken and headed by Prof. Dr. Andreas
Bulling, works in the fields of computer vision and applied machine
learning with applications in human-computer interaction, cognitive
systems, as well as wearable and ubiquitous computing. The group
develops computational methods as well as ambient and on-body systems to
address fundamental challenges in sensing, modelling, and analysing
everyday non-verbal human behaviour, in particular human gaze and body
language. The group is well-known for this line of work, has a strong
presence in leading conferences in the above fields, and work from the
group is regularly distinguished with best paper awards. You will work
among gifted students and experienced scientists from all over the
world; and have access to excellent infrastructure, including several
regular series of tutorials, lectures, journal clubs and invited talks
by international guests, as well as a high-performance GPU cluster. For
details see our previous group website:
Applications and inquiries should be sent quoting reference number
42.2018 to Prof. Dr. Andreas Bulling (see contact details below).
Applications must be submitted by email as a single pdf (max. 10 MB) and
include a CV, motivation letter with research statement, publication
list, transcripts of BSc and MSc degrees, and contact details of 2-3
references. Optionally, up to 2 selected own publications or theses can
be included in a second pdf (max. 5 MB). Applications should also
indicate earliest date of availability. There is no fixed application
deadline; applications are considered until all positions have been
Contact: Prof. Dr. Andreas Bulling | andreas.bulling at vis.uni-stuttgart.de
University of Stuttgart, Pfaffenwaldring 5a, 70569 Stuttgart, Germany.
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