Postdoctoral position in data mining at Center for Applied Intelligent Systems Research at Halmstad University in Sweden

Center for Applied Intelligent Systems Research at Halmstad University
in Sweden, is currently looking for a post doctoral researcher in
information technology with a focus on data mining
Deadline for applications is 2015-03-01
The position is a full-time employment for two years, starting from
April 2015, or as soon as possible thereafter. The position is mainly
funded by the BIDAF (A Big Data Analytics Framework for a Smart Society)
project, which is a distributed research environment between Halmstad
University, SICS Swedish ICT and Högskolan i Skövde, supported by the
Swedish Knowledge Foundation (KKS).
Research focus:
The overall aim of BIDAF is to significantly further the research within
massive data analysis, by means of statistical machine learning, in
response to the increasing demand of retrieving value from data in all
of society. Our research focuses on scalable algorithms that can
leverage the distributed framework for efficient mining of knowledge
from transient data streams. In particular, we aim to move from
algorithms designed to exploit limited amounts of data for as much
knowledge as possible towards algorithms designed to process large
amounts of data efficiently, build models that are constrained in size,
and provide end users with easy to understand and traceable results.
The main way of extracting value from data is to capture the interesting
aspects of it using a suitable model. The model is then used for
detecting anomalies and trends, analysing key values, or making
predictions. In the big data setting, however, one can create not one,
but many useful models, focusing on different aspects of the data. We
will develop new algorithms for building such sets of models and for
ensuring sufficient diversity among them, as well as ways to combine
them in flexible ways, for example into hierarchical structures of
concepts and sub-concepts, or along time axis to distinguish permanent
and time-limited patterns.
The unprecedented amount of data accessible today allows ML to focus on
more descriptive and explanatory analysis. Users no longer pose
well-formulated, concrete questions, but instead require the system to
be capable of highlighting interesting aspects such as deviations,
anomalies, relations and co-occurrences. It is almost effortless to
generate data, while the cost of analysing it does not change. We will
support continuous learning model, where the training and usage is not
easily separated, and the system improves its performance all the time,
taking advantage of new data as it arrives.
An important aspect of the position is to find connections to other
projects within CAISR and on identifying common problems and finding
solutions applicable across multiple domains.
Principal duties:
The selected candidate will become part of the very dynamic and
international research environment at the Center for Applied Intelligent
Systems Research (CAISR), a part of Halmstad Embedded and Intelligent
Systems Research (EIS) at the School of Information Technology.
The post as postdoctoral researcher is a qualifying appointment with the
purpose to give the employee a possibility to develop its independence
as researcher and to obtain merits that can lead to a competence for
another post with higher eligibility requirements. As a postdoctoral
researcher you are expected to be active in the research done within the
research environments CAISR and EIS. The teaching load will be at most
20% of the time working hours. Furthermore, we expect you to take an
active part in the continued development of the research environment and
that you will take part in applying for research funding from various
financiers, both in Sweden and abroad.
Qualification:
The position is intended for someone with a recent PhD degree in
Information Technology, Computer Science, Computer Engineering, or
closely related fields. The research track record should demonstrate
excellence in research in machine learning and data mining. Strength in
computer programming and/or applied mathematics is very welcome.
For more information about the positions please contact me or visit
http://islab.hh.se/OpenPositions