The Department of Computer Science and Biomedical Engineering at Graz University of Technology is committed to excellence in research and teaching. The research at the department covers a broad spectrum of topics that are reflected in our main research areas “Biomedical Engineering,” “Safety and Security,” “Intelligent Systems,” and “Visual Computing.” We are proud of our outstanding applied and basic research and stimulate interdisciplinary projects. Moreover, our faculty fosters a close dialogue with industry and encourages the establishment of spin-offs.


Tenure Track Professorship in Natural Language Processing

We are looking for outstanding candidates with a research focus in the field of Natural Language Processing und Text-Mining. Methods to process large quantities of textual data and information extraction by means of machine learning methods are of particular interest. These methods should go beyond a single language. We offer an interesting research environment, research questions with practical relevance, and the integration with a motivated team of researchers and developers.

A tenure track professorship at Graz University of Technology for the field of Natural Language Processing at the Faculty of Computer Science and Biomedical Engineering is to be filled pursuant to § 99 para. 5 of the Universities Act.

The position, is initially restricted to six years as a University Assistant with Doctorate, 40 hours per week and the successful candidate is expected to start on April 1, 2019, at the Institute of Interactive Systems and Data Science.

Upon agreement on a qualification agreement, the candidate will be appointed as assistant professor. As soon as the qualification agreement has been fulfilled, the position will be converted into a tenured position as associate professor.

Required academic qualification:

  • PhD or equivalent, in computer science or related study

The successful candidate should also possess the following qualifications:

  • Research focus on an area of Natural Language Processing and Text Mining that fits and strengthens the existing research at the institute
  • Excellent scientific track record with publications at international top conferences/journals
  • Motivation, experience and didactic skills for teaching in English
  • Experience in the acquisition of research projects
  • Network in the international scientific community

The position will involve the following duties:

  • Research on Natural Language Processing and Text-Mining
  • Establishing an independent research group
  • Scientific publications at international top conferences/journals
  • Acquisition and management of third party funding for research (EU, FFG, FWF, industrial projects)
  • Supervision of students degree thesis
  • Independent teaching in the bachelor and master programs
  • Service in the academic administration      

The position will be paid according to category B1 of the collective agreement for employees of Austrian universities, stipulating a gross salary of € 4.111,70 (14 x per year).

Graz University of Technology aims to increase the proportion of women and therefore qualified female applicants are explicitly encouraged to apply.

Graz University of Technology actively promotes diversity and equal opportunities. People with disabilities and who have the relevant qualifications are expressly invited to apply.

Applications with relevant documents (copies of certificates and diplomas, CV, publication list, overview of previous and planned research, list of teaching activities including teaching evaluations if available) should be submitted, preferably by email, to applications.csbmenoSpam@tugraz.at and should quote the position identification number.

The hearings for this position will take place in the weeks from 4 February to 15 February 2019. Candidates should be available for interviews in this period. For further question, please contact Rudolf Stollberger (rudolf.stollbergernoSpam@tugraz.at).

Application deadline: 3 December 2018                Position identification number: 7060/18/014


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Contact
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Application

Roderick Bloem
applications.csbmenoSpam@tugraz.at

Questions

Rudolf Stollberger
rudolf.stollbergernoSpam@tugraz.at

Hearings
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The hearings for this position will take place in the weeks from 4 February to 15 February 2019. Candidates should be available for interviews in this period.

Downloads
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