Open Ph.D. position in data mining

The data analytics group at the University of Mannheim, Germany, invites applications for the following open position:

    RESEARCH ASSISTANT / PHD STUDENT IN DATA MINING
    (TV-L 13).

The earliest possible starting date is March 1, 2017.

The group's research focuses on systems and methods for analyzing and mining large datasets as well as their applications in practice. We are looking for a highly motivated candidate to conduct research in the areas of pattern mining and text mining.

The successful candidate should meet the following prerequisites:

- Master degree in computer science or a related field (required)
- Strong background in data mining and machine learning (required)
- Very good programming skills (required)
- Knowledge of pattern mining for itemsets, sequences, time series,
   or graphs (a plus)

The position is payed according to German regulations (TV-L 13, ~3300€ before tax) for an initial duration of three years (extension is possible).

The data analytics group is a member of the Data and Web Science group at the University of Mannheim. More information is available at:

    dws.informatik.uni-mannheim.de/~rgemulla
    dws.informatik.uni-mannheim.de

Please contact Rainer Gemulla <rgemulla@uni-mannheim.de> for informal enquiries.

Applications should contain a short letter of motivation, CV, university transcripts, a copy of the master thesis (or equivalent) as well as a list of personal references. Only complete applications will be considered. Applications should be sent via e-mail to Martina Hey <mhey@uni-mannheim.de> or via postal mail to Prof. Dr. Rainer Gemulla / Universität Mannheim / 68161 Mannheim / Germany. Please be aware that breach of confidentiality and unauthorized access by a third party cannot be excluded for a communication without encryption.

The University of Mannheim seeks to increase the proportion of women in research and teaching. Preference will be given to suitably qualified women or persons with disabilities, all other considerations being equal.