Prof. Dr. Felix Naumann

Open Researcher Positions

Junior Researcher/Ph.D.

Contact: Ralf Krestel

Are you interested in pursuing a Ph.D. in computer science in a world-leading research institute?

In our Web Science group at HPI we offer a scholarship for an outstanding student to join us in any of the research fields related to text mining:

  • information retrieval
  • natural language processing
  • machine learning
  • recommender systems

Candidates will have:

  • a very good master's degree (or an equivalent university degree) in computer science or related disciplines (e.g., mathematics, computational linguistics, information sciences, etc.) and will target a Ph.D.  degree.
  • We expect eagerness to participate in team work, outstanding analytical competence, strong interest in interdisciplinary research and excellent programming and communication skills.
  • Fluency in spoken and written English is required. Language skills in German are welcome.
  • Qualified candidates who have not yet completed their master's are also encouraged to apply.

We offer:

  • a creative, active, internationally renowned research group, support for publication at leading international conferences, support in pursuing a Ph.D., and an friendly working environment in a new, technically excellent campus.
  • HPI (http://www.hpi.de) is located close to Berlin, offering a wide variety of educational opportunities, recreation and tourism, and cultural events. Being directly connected to the Berlin metro rail system, HPI can be reached from Berlin city center in about 25 minutes. Both Potsdam and Berlin are very vibrant cities, and have large student and international communities.

How to apply:
Candidates are invited to apply with:

  • detailed curriculum vitae and copies of degree   certificates/transcripts,
  • a statement of interest / letter of motivation,
  • writing samples/copies of relevant scientific papers (e.g. thesis, etc.),
  • name of a Professor who can provide a letter of recommendation on request.

The anticipated start date is June 1st, 2018, but a later date is also possible.

If you are interested please send your application in PDF format with the subject heading 'Application for PhD position' via email until April 30th, 2018 to the following contact:

Dr. Ralf Krestel
Email: ralf.krestel(at)hpi.de
Web: http://www.hpi.de/naumann/web-science-group.html

PhD Scholarships

Contact: Felix Naumann

There are PhD and PostDoc Scholarships at the HPI research school available regularly. The annual application deadline is August 15, but please inquire for other starting dates.

Open student assistant positions

In general, we are always looking for student assistants both for teaching in Bachelor courses (Tutoren) and for research in various research projects. Please contact Felix Naumann if you are interested.

Business Communication Analysis

Contact: Tim Repke

About the project
Today's business communication is almost unimaginable without emails. They document discussions and decisions or summarise face-to-face meetings in the form of unstructured text or attachments and thus hold a significant amount of information about a business. In very exceptional cases, for example when investigating a known case of fraud, specialists examine inboxes and attached files of involved personnel to determine the extent of the situation. However, the sheer quantity of emails is unmanageable without some guidance by an exploration tool. In this project, we develop and evaluate methods to combine in such an exploration tool. This work touches the fields of text mining, text summarisation, document classification, topic modelling, named entity extraction, entity linking, relationship extraction, as well as social network-, and graph analysis. We work together with our industry partner from the financial sector to put our prototypes in the hands of auditors for real world feedback.

Tasks in this project
Email corpora come in various shapes and formats, which have to be parsed, normalised, and organised in a database for efficient access by downstream applications. We try to develop a flexible and modular pipeline oriented framework, which can be easily extended by new components derived from promising experiments. Besides the data processing and management, a prototype for a web based exploration tool is developed in a future bachelor project. We are looking to creatively integrate innovative interactive visualisation techniques that greatly improve the forensic workflow. As our student assistant, you'll support us building tools for our experiments and evaluation as well as conceptual prototypes.

We can discuss weekly working hours, but hope to fill a 40h/month position.

Why should you join us?

  • apply and expand your coding skills
  • learn a lot about our research
  • be part of our research
  • maybe even a thesis(?)
  • ... because we are an awesome research group

For more Information visit

Change Exploration

Contact: Leon Bornemann

About the project

Data change, all the time. In this project we want to explore and understand those changes. We call this activity change exploration:  For a given, dynamic dataset, we want to efficiently capture and summarize changes at instance-, and schema-level, enable users to effectively explore this change in an interactive and graphical fashion and analyze patterns in the changing data.

Tasks in this project

As a working student you will support is in our research by assisting with various tasks, such as

  • Opening up new Data sources
  • Annotating Data
  • Creating Visualizations

The tasks can be individually adapted to your skills and preferences. Should you have any Questions do not hesitate to ask.

Why should you join us?

  • apply and expand your programming skills
  • peak into the world of research in Computer Science
  • maybe even find ideas for a thesis

For more Information visit