Connectionists: Two PhD Positions and one Postdoc Position in Machine Learning / Sensory Data Processing

[Jörg Lücke]

The Machine Learning research group at the University of Oldenburg 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 at 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