The Machine Learning research group at the University of Oldenburg,
Germany, is seeking to fill
Two PhD Research Positions and one (postdoctoral) Research Associate
Position
All positions are part of the Machine Learning group which develops
learning and inference technology for sensory data. We pursue basic
research, develop new technology, and apply our approaches to different
tasks. Our research hereby combines modern probabilistic data
descriptions, modern computer technology and insights from the
neurosciences. We contribute to the improvement of current methods for
computer hearing, pattern recognition and computer vision as well as to
the understanding of biological and artificial intelligence. Research
will be conducted in close collaboration with leading international and
national research labs. Our research field can be considered as part of
the Data Sciences, Computational Sciences, or Big Data approaches (to
name some terms recently used in the media).
Salary levels of the positions are based on the TV-L scale of the German
public sector (Öffentlicher Dienst). After the deduction of health
insurance, pension tax and other taxes, the salary for the PhD positions
amounts to approximately 1600 EUR per month, and to about 2000 EUR per
month for the (postdoctoral) Research Associate Position. Depending on
the experience of the candidates, the salary can be higher. But please
note that the only definite sources for all information on the positions
including salary, job description and application/selection procedure
are the central websites of the University of Oldenburg.
For the PhD positions see:
http://www.uni-oldenburg.de/stellen/?stelle=63323
For the postdoc position see:
http://www.uni-oldenburg.de/stellen/?stelle=63322
Depending on the skills and interests of the candidates, the research
focus will be on the development of new probabilistic learning
algorithms and/or their applications to high-dimensional sensory data.
Projects can emphasize basic research for general purpose learning and
pattern recognition, or applications of algorithms to specific tasks.
Candidates for the PhD positions have to hold a Master degree in
Physics, Computer Science, Mathematics or a closely related subject (at
the latest at the time when the contract is signed).
Analytical/mathematical skills and programming skills (e.g. python,
matlab, C++) are required for all candidates. Experiences with Machine
Learning algorithms are desirable. Experiences with acoustic data, other
types of sensory data, and an interest in the neurosciences are a plus
but are not strictly required.
The candidates for the (postdoctoral) Research Associate position have
to hold a Master degree or (preferably) a PhD/Doctoral degree in
Physics, Computer Science, Mathematics or a closely related subject
(alternatively, a statement can be provided that a PhD/Doctoral degree
will be issued when the position is taken or shortly thereafter).
Analytical/mathematical skills, programming skills, and experience with
Machine Learning algorithms are required. Experiences with acoustic
data, other types of sensory data, and an interest in the neurosciences
are a plus but are not strictly required. The (postdoctoral) Research
Associate position is suitable for part-time work.
All positions can be filled immediately and are available for initially
two years with an option for extension.
The appointed researchers will be part of a very new working
environment. The research group is currently established through a
strategic investment into Machine Learning technology at Oldenburg. The
group is located in a new building, and the Cluster of Excellence
Hearing4all is part of the German Excellence Initiative which funds
top-tier research in Germany. The cluster comprises many
interdisciplinary research groups that are currently set up or that are
extended. As a consequence, many new PhD, postdoc and faculty positions
allow for interesting collaboration opportunities and provide an
attractive scientific and social environment. The city of Oldenburg is
one of Germany's cities with the highest rated living quality, it is
close to the North See and near to the cities of Bremen and Hamburg.
For more information about the Machine Learning research group visit:
http://www.uni-oldenburg.de/ml/
For more information about the Cluster of Excellence Hearing4all visit:
http://hearing4all.eu/EN/
The University of Oldenburg is dedicated to increasing the percentage of
women in science. Therefore, female candidates are particularly
encouraged to apply. According to § 21 III NHG (legislation governing
Higher Education in Lower Saxony) preference will be given to female
candidates in cases of equal qualification.
Handicapped applicants will be given preference if equally qualified.
Please send your application including the usual documents (including
contact details for reference letters) preferably electronically (PDF)
to Jörg Lücke <joerg.luecke@uni-oldenburg.de> or per mail to: Carl von
Ossietzky Universität Oldenburg, Fakultät VI, Machine Learning, z.Hd.
Frau Jennifer Köllner, 26111 Oldenburg, Germany. Please use "Research
Position (PhD)" as subject line for applications to the PhD positions,
and "Research Associate Position (postdoc)" for applications to the
(postdoctoral) Research Associate position.
The application deadline is 15 June 2014. Applications received after
this date are not guaranteed to enter the selection process.
--
Jörg Lücke (PhD)
Associate Professor
Machine Learning Lab and Cluster of Excellence Hearing4all
Department of Medical Physics and Acoustics
School of Medicine and Health Sciences
University of Oldenburg
26111 Oldenburg
Germany
www.uni-oldenburg.de/ml
_______________________________________________
Comp-neuro mailing list
Comp-neuro@neuroinf.org
http://www.neuroinf.org/mailman/listinfo/comp-neuro
No comments:
Post a Comment