[visionlist] Fully funded PhD and PostDoc Positions in Computer Vision and Machine Learning for HCI (University of Stuttgart, DE)

[Andreas Bulling]

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,
 (inverse)
reinforcement learning
- Computer vision or graphics, e.g. egocentric vision, 3D face  
  modelling, scene understanding, pose estimation, object  
  detection/recognition

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,
Porsche).


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: 
https://perceptual.mpi-inf.mpg.de/


APPLICATIONS

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 
filled. 

Contact: Prof. Dr. Andreas Bulling | andreas.bulling at vis.uni-stuttgart.de
University of Stuttgart, Pfaffenwaldring 5a, 70569 Stuttgart, Germany.