Connectionists: PhD position in (bio-inspired) machine vision at Ulm University (Germany)

[Dr. Schwenker]

Applications are invited for*one full-time PhD studentship*  (in a funded project) for a period of 3 years, at the Vision and Perception Science Lab in the Institute of Neural Information Processing in the Faculty of Engineering, Computer Science, and Psychology at Ulm University, Germany.

* RESEARCH THEME
"Visual motion detection for behavior analysis".

The vision and perception science research group, headed by Prof. Heiko Neumann at Ulm University, has an opening for a PhD position to work in the project "SenseEmotion - Multisensory recognition of pain and emotion for elderly people" funded by the German Federal Ministry of Research and Education (BMBF). The topic focuses on the analysis of motion and stereo from multiple event-based and frame-based cameras. The fusion of the input aims at augmenting high temporal resolution event-based representations with high spatial resolution feature representations that are available at a slower frame rate. The acquired vision information is used to analyze biological motion patterns of subjects in indoor scenes. We are looking for talented and highly motivated computer scientists (or people with a related background) interested in the development of novel machine vision algorithms and learning mechanisms to achieve robust high-performance analysis of complex articulated motions. An interest in biological vision is dersired, but this is not a requirement for the position. The initial appointment is for 12 months, renewable for the rest of the project duration. A start date at the earliest disposal is strongly preferred. Salary is according to the level TV-L E 13.

Representative recent work relevant for the project:
[1] G. Layher, M.A. Giese & H. Neumann.  Learning representations of animated
	motion sequences - a neural model.
	Topics in Cognitive Science, 6, 170-182, 2014.
[2] T. Brosch, S. Tschechne & H. Neumann. On event-based optical flow detection.
     Frontiers in Neuroscience, 9:137, 2015.

* CANDIDATE REQUIREMENTS
- The candidate has a background in computer science, electrical engineering, physics, mathematics, or related discipline;
- he/she has a strong background in computer vision and/or machine learning;
- excellent programming skills are required (C/C++/Matlab/Python) - programming experience in CUDA and/or parallel computing would be a strong plus, an interest in biological vision and/or computational/cognitive neuroscience is a plus;
- communicative skills are required since the candidate has to collaborate with other teams and transfer algorithms and integrate software into an overall system;
- writing skills are mandatory for generating project reports and deliverables as well as creating manuscripts for publications.

* RESEARCH GROUP
The research group is located within the Faculty of Engineering, Computer Science and Psychology at Ulm University. The group maintains strong ties with other national and international research groups. The group is member of the Baden-Württemberg initiative for building high-performance computing facilities HPC Clusters (bwForCluster ENM) and has access to state-of-the-art computing facilities as well as lab space for eye movement recording and inertial motion data capturing. Information about Prof. Neumann and his research group can be found athttp://www.uni-ulm.de/in/neuroinformatik/mitarbeiter/h-neumann.html  or athttp://www.informatik.uni-ulm.de/ni/mitarbeiter/HNeumann/index.html.

* HOW TO APPLY?
Please send your applications (in one file in pdf format) by email toheiko.neumann at uni-ulm.de. The application should include a brief statement of interests, a curriculum vitae, two letters of reference, a list of publications (if already available), and contact details (postal mailing address, email address, skype address). There is no deadline for the application but applicants are encouraged to apply as soon as possible as the position will be filled as soon as a suitable applicant is found.

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