University Professor (m_f)
for the specialist field of Data Intelligence
TU Wien is Austria's largest institution of research and higher education in the fields of technology and natural sciences. With over 26,000 students and more than 4000 scientists, research, teaching and learning dedicated to the advancement of science and technology have been conducted here for more than 200 years, guided by the motto "Technology for People". As a driver of innovation, TU Wien fosters close collaboration with business and industry and contributes to the prosperity of society.
At the
Institute of Information Systems Engineering of the Faculty of Informatics at TU Wien, the position of a University Professor (m_f) for the specialist field of “Data Intelligence” with permanent (full-time) contractual employment is to be filled as of November 1, 2022.
This is a professorship regulated by § 98 of the 2002 Universities Act (UG).
The position as professor for
Data Intelligence has been allocated in TU Wien’s development plan to the focal area Information & Communication Technology. The Faculty of Informatics, one of the eight faculties at the TU Wien, plays an active role in national and international research and has an excellent reputation. The main areas of research include Computer Engineering, Logic and Computation, Visual Computing & Human-Centered Technology, as well as Information Systems Engineering.
The successful candidate will have an outstanding research and teaching record in the field of Data Intelligence. Data Intelligence, in the context of this position, refers to the intelligent interaction with data in rich, semantically meaningful ways, where data are used to learn and to obtain knowledge (in a pragmatic sense). In this context one may distinguish between a data and an interaction layer. At the data layer methods considered of core relevance come from data analytics, data mining, and prediction models. At the intelligent interaction layer, the focus is on information retrieval and recommender systems. An emphasis is placed on adapting approaches to requirements in specific domains, such as the medical, legal, or innovation domains. The focus of the position is on using real data, specifically on methods to compensate for the variety of biases that arise from processing and analysing such data. The successful candidate is also expected to have a track record in working with industry, with experience in all stages of the innovation process from basic research to commercialisation. Duties also include teaching Informatics, Business Informatics, and Data Science curricula courses, at bachelor and master level (in English and German), as well as supervising students at all scientific levels (undergraduates, graduates, and PhD students). The professor is expected to contribute to usual management tasks.
The following non-exhaustive list highlights core research topics of a successful candidate:
- Information Retrieval
- Recommender Systems
- Data Analytics
- Data Mining
- Text Mining
- Data Annotation
Your profile:
- Completed doctoral or PhD studies in the field of Computer Science, Business Informatics, or a related area from a domestic or equivalent foreign university or research institution
- Qualification for teaching (venia docendi) acquired at a domestic or equivalent foreign university or an academic qualification recognisable as being equivalent to the venia docendi
- Outstanding scientific reputation, proven by publications in internationally prestigious scientific conferences and journals (for instance SIGIR, RecSys, ACM TOIS), patents, awards, scientific lectures, editorial and scientific expert work, organization of conferences etc.
- Excellent reputation as an active member of the international scientific community
- Experience in the acquisition, execution and management of research projects at national and international level
- Ability and willingness to manage a research group
- Pedagogic and didactic suitability for academic teaching in German and English
- Experience in the supervision of scientific work of students, such as bachelor, diploma and master theses as well as dissertations
- Social and gender competence as well as experience in the promotion of young researchers and the advancement of underrepresented students/colleagues/employees
- On-site presence is expected
- In case there is no adequate knowledge of German, willingness to quickly learn German is presupposed for teaching in bachelor programmes and participating in the management of the institute and the faculty as well as in university bodies
We offer:
- Excellent working conditions in an attractive research environment
- Access to excellent computational facilities including GPU clusters
- Attractive compensation combined with a supplemental retirement benefit program sponsored by the employer and further benefits (see also: Fringe-Benefit Catalogue of TU Wien)
- Financial support of research activities in the first years (e.g. equipment endowment/start-up funds)
- Support in moving to Vienna (if required)
- Dual career advice (if required): we offer partners and families of the university professors appointed to TU Wien various support opportunities tailored to their individual situation
- An employee-friendly environment in a city with an extraordinary high quality of life
TU Wien is committed to increasing the proportion of women in particular in leadership positions. Female applicants are explicitly encouraged to apply. Preference will be given to women when equally qualified, unless reasons specific to a male applicant tilt the balance in his favour.
People with special needs are equally encouraged to apply. In case of any questions, please contact the confidant for disabled persons at the university, Mr. Gerhard Neustätter.
Classification in the A1 category of the collective bargaining agreement for employees of universities and a
full-time minimum salary of EUR 74.503,80 gross annual is provided for.
Furthermore, on top of the employee benefit fund, a company pension scheme will be set up for employees, depending on the duration of their employment, with the result that personnel benefits will
increase.
A
higher salary depending on qualifications and experience is
subject of appointment negotiations as well as detailed information about benefits.
General information can be found at the following links:
Applications in English must include at least the following documents:
- Detailed curriculum vitae (complete with professional and academic background)
- Detailed motivation letter
- Presentation of previous academic activities including a list of research and development projects carried out and of funding/grants raised (volume, duration, funding body, etc.), a list of patents, awards, editorial and scientific expert work, organized conferences etc., as well as a list of lecturing and teaching activities evidenced by a list of the university courses held so far, a list of supervised scientific works of students (such as bachelor theses, master theses as well as doctoral theses), and a list of invited lectures
- List of publications and copies of the five most important publications related to the position together with an explanation of their relevance
- Research and teaching concept with considerations on the future positioning and further development of the field of Data Intelligence
- Relevant certificates and official letters should be uploaded under the category: +Add more documents
We look forward to receiving your complete application documents by January 27, 2022.
Apply now
If you have any questions, please do not hesitate to contact us
Application Management:
Tel.: +43 (1) 58801 406201 Carmen Keck,
Informations of the application process
Faculty of Informatics:
Tel.: +43 (1) 58801 18870 Dean of Faculty, Gerti Kappel
Tel.: +43 (1) 58801 18001 Head of Dean’s Office, Heinz Huemayer
Appointment Service:
On-going appointment procedures
TECHNOLOGY FOR PEOPLE