DIPF: Doctoral scholarships in knowledge discovery / machine learning

Scholarships are granted for completing a doctoral thesis in CS with a strong focus on machine learning and knowledge discovery, applied to scientific and educational research publications. Applications due Feb 28, 2013.

Location: Frankfurt am Main, Germany
Web: www.kdsl.tu-darmstadt.de

In close co-operation with the German Institute for International Educational Research and Educational Information (DIPF) in Frankfurt am Main, a member of the Leibniz Association, the Technical University of Darmstadt is offering Doctoral Scholarships in knowledge discovery/ machine learning within the newly established PhD program "Knowledge Discovery in Scientific Publications" [1]. The regular maximum duration of funding is 36 months.

Scholarships are granted for completing a doctoral thesis in computer science with a strong focus on machine learning. The research is applied to the domain of educational research literature. To this end, DIPF offers excellent opportunities for a close co-operation with subsequent users. Successful candidates will be granted 1,400 Euros per month. The program will be located at DIPF in Frankfurt (Main).

The successful candidates are expected to work on the projects

The PhD program brings together the disciplines of "Knowledge Engineering", "Algorithmics", "Language Technology", "Ubiquitous Knowledge Processing", "Knowledge Mining and Assessment", and "Information Management". The concept for supervision strongly relies on close contacts between postgraduate students and their supervisors, regular joint meetings, co-supervision by professors and senior researchers from the above disciplines and a lively exchange in the research and qualification program. Furthermore, the program strives to publish research findings at leading scientific conferences and provide its software freely accessible as open source product.

Excellently qualified graduates from computer science are invited to apply. Successful candidates are expected to possess very good programming skills in Java, to work independently, demonstrate their personal commitment, team and communication skills as well as a readiness to cooperate with others. Research experience, in particular in machine learning, is a plus.

Women are expressly invited to submit their application. According to the pursuant legal requirements, applicants with disabilities will be preferably treated in the appointment procedure.

Candidates from abroad are encouraged to apply.

The Department of Computer Science at TU Darmstadt regularly ranks among the top in Germany. Among its distinguishing features are its research initiative "Knowledge Discovery on the Web" focusing on powerful language technology procedures, text mining, machine learning and scalable infrastructures for assessing and aggregating knowledge. As a scientific institute belonging to the Leibniz Association, the DIPF targets top-class basic research as well as innovative scientific services. Education is addressed as an area with high visibility and significance.

The DIPF is currently establishing a research priority domain for educational information science, by joining competencies with computer scientists at TU Darmstadt. In this context, the doctoral program will constitute a central element.

Please submit your application by February 28, 2013. Applications should include a letter of motivation related to the research program [1] and its corresponding projects [2] and [3], CV and details regarding previous scientific work, certifications of studies and work, including the graduate thesis and possibly electronic publications.

Applications should be sent to Prof. Dr. Iryna Gurevych and Prof. Dr. Marc Rittberger,
e-mail: phd-application@ukp.informatik.tu-darmstadt.de.

[1] www.kdsl.tu-darmstadt.de

[2] www.kdsl.tu-darmstadt.de/de/home/research-program/personalized-content-acquisition-from-heterogeneous-sources/

[3] www.kdsl.tu-darmstadt.de/de/home/research-program/preference-based-profiling/