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 local industry and encourages the establishment of spin-offs.
Graz University of Technology, Department of Computer Science and Biomedical Engineering invites applications for a
We are looking for outstanding candidates with a research focus in the field of Machine Learning methods. Specific research topics include, but are not restricted to, the development and analysis of machine learning algorithms and the development of neuromorphic learning algorithms.
The professorship will be part of the Institute of Theoretical Computer Science. The institute is an internationally renowned research environment engaged in fundamental research at the intersection of the fields of Computational Neuroscience and Machine Learning with an emphasis on brain-inspired principles of computation and learning. The successfully candidate will complement the existing strengths at the institute with his/her own expertise and build an internationally visible group. He/she will be an engaged teacher in the Computer Science programs at the Bachelor’s, Master’s, and PhD level and will actively participate in academic self-administration.
To ensure effective international representation of the research group and its work, excellent spoken and written competence in English is required. Specifically, willingness to teach courses in English is expected. Fluency in German or the willingness to acquire it is also required. The successful candidate is also expected to transfer her/his residence to the area of Graz.
Graz University of Technology aims to increase the proportion of women, in particular in management and academic staff, and therefore qualified female applicants are explicitly encouraged to apply. Until a balanced ratio of men and women has been achieved at the university, preference will be given to women if applicants are equally qualified.
Graz University of Technology actively promotes diversity and equal opportunities. Applicants are not to be discriminated against in personnel selection procedures on the grounds of gender, ethnicity, religion or ideology, age, sexual orientation (Anti-discrimination). People with disabilities who have the relevant qualifications are expressly invited to apply.
The advertised position is a tenure-track career position for an initial period of 6 years. (pursuant to § 99 para. 5 of the Universities Act) After the conclusion of a qualification agreement, the job holder is appointed as Assistant Professor. After a positive evaluation of the qualification agreement, the position will be turned into a permanent position as Associate Professor. After a further competitive procedure, the promotion to Full Professor is possible. Graz University of Technology provides excellent working conditions in a lively scientific community combined with the outstanding living quality of the Graz area.
The position will be paid according to category B1 of the collective agreement for employees of Austrian universities, stipulating a gross salary of € 4.214,50 (14 x per year, including social and health insurance).
Interested applicants are requested to send a detailed application in electronic form, and should quote the position identification number 7080/19/022:
in electronic form at the latest by
26 November 2019
(date of email)
to the Dean of the Department of Computer Science and Biomedical Engineering of the Graz University of Technology, Roderick Bloem, E-Mail: applications.csbmenoSpam@tugraz.at
The interviews for the position are expected to take place in the week from 10 February 2020. Candidates are asked to be available in this period. For further questions, please contact Robert Legenstein (robert.legensteinnoSpam@tugraz.at).
Dean: Roderick Bloem www.tugraz.at/go/professorships-vacancies/
Position identification number: 7080/19/022
26 November 2019
10 - 14 February 2020. Candidates should be available for interviews in this period.