Doctoral scholarships in information technology / computer science
The regular maximum duration of funding is 36 months. Scholarships are granted for completing a doctoral thesis in information technology/computer science focusing on text or data mining, automatic language processing, computer science or a related topic in the field of "Knowledge Discovery in Scientific Publications". Successful candidates will be granted 1,400 Euros per month. The postgraduate program is due to start on February 1st, 2013. Scholarships will be appointed subsequent to the signature of both contracting institutions. The program will be located at the DIPF in Frankfurt (Main).
A growing amount of scientific literature is ubiquitously available on the worldwide web. Research concerning this fact is guided by the idea of an intelligent identification and analysis of structures and trends in scientific texts on all scales, enabling completely new, previously unforeseen forms of scientific research on the web. Full texts of publications, including new forms of scientific Web 2.0 publication, will provide the basis, together with their manifold networking via citations, authoring structures and the linguistic and semantic knowledge that is to be intelligently extracted from the texts. The envisaged topic requires intensive research on innovative information technology methods, e.g. regarding querying, indexing, discovering knowledge and preparing knowledge on the web. Implicit knowledge contained in scientific literature is thus tapped and rendered usable. Priority will be given to the field of educational research as the target domain. To this end, the DIPF offers excellent opportunities for a close co-operation with subsequent users. Possible fields of research are: Retrieval and networking of scientific literature on the web; semantic modeling and extracting Information; automatic classification and linking of publications by topic or methods; personalized information processing; assessment of quality, impact, research reputation of publications, authors and research groups; recognition and analysis of trends and interdisciplinary research connections.
The program will bring together the disciplines of "Knowledge Engineering", "Algorithmics", "Language Technology", "Ubiquitous Knowledge Processing", "Knowledge Mining and Assessment" (Department of Computer Science, TU Darmstadt) and the working groups for "Information Management", "Ubiquitous Knowledge Processing", "Knowledge Mining and Assessment" (Information Center for Education, DIPF ). 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 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.
Requirements for application Excellently qualified graduates from the disciplines of computer science/information technology, automatic language processing, information science and related studies 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. Experience in scientific work, e.g. automatic language processing, machine learning and network-based processes and information processing methods would be appreciated. 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 November 28, 2011. Applications should include a letter of motivation, 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 (at) ukp (dot) informatik (dot) tu-darmstadt (dot) de.
 https://www.informatik.tu-darmstadt.de/  http://www.werc.tu-darmstadt.de/  http://www.dipf.de/