Job Offers

** Six fully-funded PhD positions in Data Science and Data Engineering **

The new chair for “Data Science and Data Engineering”
(http://data.bit.uni-bonn.de/) is looking to hire six fully-funded PhD
candidates in the research areas of

* graph mining (two positions open)
* anomaly detection (two positions open)
* predictive analytics (two position open)

Candidates with a strong background in big data, data mining, machine
learning or computational statistics are encouraged to apply. Hiring
process starts July 1st, 2018 and will continue until all positions are
filled. The positions are fully funded and immediately available.

** Job Description **
Our research covers knowledge discovery, data mining, big data systems,
and data exploration for high dimensional data, graph data, time series,
and data streams. The six open positions will complement our current
research team and add new research topics in Graph Mining, Anomaly
Detection, and Predictive Analytics. All positions will have close
collaboration with scientific/industrial partners on high dimensional
data, dynamic sensor streams, and large networks.

Research Associate / PhD Positions:
* Development of new concepts and algorithms for graph mining, anomaly
detection or predictive analytics on high dimensional data, dynamic data
streams, and large networks
* Interdisciplinary collaborations with industry partners in joint
research projects
* Collaboration in the conception and implementation of an open source
platform for big data analytics
* Publication and presentation of scientific results on top international
venues

Qualifications and Skills:
* Excellent degree (Master/Diploma) in computer science, physics,
mathematics or similar programs
* Good knowledge in computational statistics, linear algebra, and a higher
programming language
* Experience in data mining, machine learning, graph mining or stream
mining is an advantage
* High degree of creativity, commitment, analytical competence, and teamwork
* High proficiency in English, both written and spoken

** Environment **
The positions are embedded in a creative, attractive, and internationally
renowned research environment with support for publications at leading
international conferences, hosted at the technically outstanding campus of
Bonn-Aachen International Center for Information Technology (b-it). We
offer research and teaching activities in cooperation with RWTH Aachen
University, University of Bonn, and Fraunhofer Institutes. Through its
unique geographical location in Rhineland, we provide an exceptional work
environment. We aim to fill six positions with a salary based on the
German public sector (TV-L E13) as soon as possible and looking for
full-time candidates.

Research associates / PhD candidates will be enrolled in the University of
Bonn, an international research university that offers a wide range of
degree programs. With 200 years of history, about 38,000 students, over
6.000 employees, and an excellent domestic and international reputation,
University of Bonn is among the leading universities. The University of
Bonn is committed to diversity and equal opportunity. It is certified as a
family-friendly university. We aim to increase the proportion of women in
data science and to promote their careers in particular. Therefore, we
encourage women with relevant qualifications to apply.

** Application **
Interested candidates are requested to send an application as a single PDF
by e-mail to Prof. Dr. Emmanuel Müller (mueller@bit.uni-bonn.de). The
application should consist of a curriculum vitae and a motivation letter
highlighting research interests providing complementary research questions
to at least two of our publications at ACM SIGKDD, IEEE ICDE, IEEE ICDM,
ICML, ECML PKDD or WWW. Furthermore, names and contact information for two
references are required. Applications will be reviewed immediately, and
the review process will continue until the positions are filled.