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Sun, 10 Feb 2013 15:10:18 +0100
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Andreas Bulling <[log in to unmask]>
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The Perceptual User Interfaces (PUI) research group at the Max Planck
Institute for Informatics, headed by Dr. Andreas Bulling, invites applications
for a fully funded PhD studentship on eye-based context-awareness.

Context-awareness has emerged as a key area of research in ubiquitous
computing and human-computer interaction (HCI). A promising new source of
context information is in the movements of the eyes. The movement patterns
our eyes perform as we carry out different activities reveal a lot about the
activities themselves and the underlying cognitive processes. In a similar
manner, location or a particular environment may influence our eye movements.
Because we use our eyes in almost everything that we do, eye movement
analysis has the potential to provide useful information for a variety of
context recognition problems.

The proposed PhD project will develop and study pattern recognition methods
and machine learning techniques for context inference based on eye movement
analysis. Potential applications are in activity and health monitoring,
location-awareness, assisted living, and cognition-aware user interfaces. The
research will be experimental, using portable eye tracking equipment and
wearable sensor systems, and will involve user studies and data collection in
daily life settings. In addition to experimental skills, the work will require
to develop a thorough understanding of pattern recognition, machine learning
and statistical signal processing techniques suitable for inferring various
aspects of context from eye movements.

The research directions of particular interest include but are not limited to:

    * Pattern recognition methods and eye movement features for modelling
      of visual behaviour

    * Machine learning techniques for context inference from eye movements

    * Context inference from simultaneous monitoring of eye and body
      movements in daily life settings

The Max Planck Institute for Informatics offers a highly collegiate and
stimulating environment for doctoral research training. The successful
candidate will join a young and ambitious research group that is at the
forefront of this emerging research area. The candidate will be expected to
contribute to the strong profile of the group by participating in the
preparation and publication of research results at the level of international
excellence.

We invite applications from enthusiastic individuals, who are able to work
independently and have an excellent first degree in Computer Science or a
related field relevant to the proposed research, and very good knowledge of
machine learning, pattern recognition, or statistical signal processing. The
studentship is not restricted by nationality. Interested applicants are
advised to consult previous work on eye-based recognition of activities and
cognitive processes [1,2,3]. Applicants are also strongly encouraged to
initiate contact with Dr. Andreas Bulling prior to their application.

Applicants should submit their CV, a copy of school and university degree and
course transcripts with grades (Abitur, Vor- and Hauptdiplom for German
applicants), names and contact information of two references, a description of
research interests and a short research proposal. Incomplete applications will
not be considered. Applications should be emailed to [log in to unmask]
Review of applications will start on 1st March 2013. Applications are accepted
until the position is filled.

[1] A. Bulling, J. Ward, H. Gellersen (2012) Multimodal Recognition of Reading
Activity in Transit Using Body-Worn Sensors, ACM Transactions on Applied
Perception, 9(1):2:1-2:21
http://dx.doi.org/10.1145/2134203.2134205

[2] A. Bulling, J. Ward, H. Gellersen, G. Tröster (2011) Eye Movement Analysis
for Activity Recognition Using Electrooculography, IEEE Transactions on
Pattern Analysis and Machine Intelligence, 33(4):741-753
http://dx.doi.org/10.1109/TPAMI.2010.86

[3] A. Bulling and D. Roggen (2011) Recognition of Visual Memory Recall 
Processes
Using Eye Movement Analysis, Proc. UbiComp 2011: pages 455-464
http://dx.doi.org/10.1145/2030112.2030172

Contact information:

Dr. Andreas Bulling
Perceptual User Interfaces Group
Max Planck Institute for Informatics
Email: [log in to unmask]

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