TU-ID: 180 | 2024 | 25 | 235528
University Professor (all genders)
Specialist field of Scalable Artificial 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 Logic and Computation of the Faculty of Informatics at TU Wien, the position of a University Professor (all genders) for the specialist field of “Scalable Artificial Intelligence” with permanent (full-time) contractual employment is to be filled as of November 1st, 2024.
This is a professorship regulated by § 99 para. 4 of the Universities Act 2002 (UG). This position is only intended for Associate Professors according to § 27 of the Collective Bargaining Agreement for University Staff of the TU Wien.
The position as professor for “Scalable Artificial 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 TU Wien, is among the top ranked faculties of Informatics in Europe, with more than 70 professors on all career levels and a strong focus on research excellence. In the city of Kurt Gödel, Ludwig Wittgenstein, and the Vienna Circle, TU Wien is a European leader in the study of logic-based methods in computer science, working on both foundational and applied aspects of Logic and Computation in areas like algorithms, databases, artificial intelligence, knowledge representation, theorem proving, formal methods, model checking, and privacy and security. Specialized Master and Doctoral programs are educating international top talents towards successful careers in industry and academia.
Scalable Artificial Intelligence is a field connecting scalable data management and artificial intelligence (AI). On the one hand there are scalable data management methods, including data and knowledge engineering, that scale to the amounts of data and complexity of knowledge encountered in AI techniques. Of particular importance is graph data. On the other hand, there are the AI techniques that take this data and knowledge into account, in particular symbolic and logic-based AI techniques that bring a high degree of explainability with them, but also so-called “bilateral” AI that combines symbolic and sub-symbolic AI techniques. TU Wien is looking for a candidate with a high profile both in scalable data management and in symbolic AI to strengthen its expertise in the field. The successful candidate shall demonstrate a strong scientific background in data and knowledge engineering including fundamental areas such as database dependencies, and in AI techniques including rule-based reasoning, e.g., Datalog. The successful candidate shall be capable to further advance the state of the art by developing bilateral (symbolic and sub-symbolic) AI methods.
The following non-exhaustive list highlights some of the areas that a successful candidate is expected to have demonstrated scientific expertise in:
● Scalable graph data management
● Knowledge graphs
● Database dependencies
● Symbolic and logic-based artificial intelligence
● Scalable rule-based reasoning
● Bilateral (symbolic and sub-symbolic) AI
Besides research, the duties of a Full Professor at TU Wien include undergraduate and graduate teaching (in German and English) as well as contributing to usual management and faculty service tasks.
This is a professorship regulated by § 99 para. 4 of the Universities Act 2002 (UG). This position is only intended for Associate Professors according to § 27 of the Collective Bargaining Agreement for University Staff of the TU Wien.
The position as professor for “Scalable Artificial 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 TU Wien, is among the top ranked faculties of Informatics in Europe, with more than 70 professors on all career levels and a strong focus on research excellence. In the city of Kurt Gödel, Ludwig Wittgenstein, and the Vienna Circle, TU Wien is a European leader in the study of logic-based methods in computer science, working on both foundational and applied aspects of Logic and Computation in areas like algorithms, databases, artificial intelligence, knowledge representation, theorem proving, formal methods, model checking, and privacy and security. Specialized Master and Doctoral programs are educating international top talents towards successful careers in industry and academia.
Scalable Artificial Intelligence is a field connecting scalable data management and artificial intelligence (AI). On the one hand there are scalable data management methods, including data and knowledge engineering, that scale to the amounts of data and complexity of knowledge encountered in AI techniques. Of particular importance is graph data. On the other hand, there are the AI techniques that take this data and knowledge into account, in particular symbolic and logic-based AI techniques that bring a high degree of explainability with them, but also so-called “bilateral” AI that combines symbolic and sub-symbolic AI techniques. TU Wien is looking for a candidate with a high profile both in scalable data management and in symbolic AI to strengthen its expertise in the field. The successful candidate shall demonstrate a strong scientific background in data and knowledge engineering including fundamental areas such as database dependencies, and in AI techniques including rule-based reasoning, e.g., Datalog. The successful candidate shall be capable to further advance the state of the art by developing bilateral (symbolic and sub-symbolic) AI methods.
The following non-exhaustive list highlights some of the areas that a successful candidate is expected to have demonstrated scientific expertise in:
● Scalable graph data management
● Knowledge graphs
● Database dependencies
● Symbolic and logic-based artificial intelligence
● Scalable rule-based reasoning
● Bilateral (symbolic and sub-symbolic) AI
Besides research, the duties of a Full Professor at TU Wien include undergraduate and graduate teaching (in German and English) as well as contributing to usual management and faculty service tasks.
Your profile:
- Completed doctoral or PhD studies corresponding to the deployment described from a domestic or equivalent foreign university or research institution
- The qualification for lecturing (venia docendi) acquired at a domestic or equivalent foreign university or an academic qualification recognised as equivalent to qualification as a university lecturer
- High scientific reputation, proven by publications in internationally prestigious scientific journals, patents, awards, scientific lectures, editorial and expert work or/and organization of conferences etc.
- Relevant joint research experience with national and international reputation as well as the ability to form networks, proven e.g. by extended relevant stays abroad or through cooperation with foreign universities and research institutions
- Experience in the acquisition, execution and management of research projects
- 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 experienced in the promotion of young researchers and the advancement of underrepresented students/colleagues/employees
- On-site presence is expected
We offer:
- Excellent working conditions in an attractive research environment
- Attractive compensation combined with additional benefits (see also: Fringe-Benefit Catalogue of TU Wien)
- Financial support of research activities in the first years (equipment endowment, etc.)
- An employee-friendly environment in a city with an extraordinarily 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.
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 89.075,00 gross annual is provided. 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:
● Faculty of Informatics
● The four research foci of the Faculty of Informatics
● Institute of Logic and Computation
● Appointment Service: Information about professorships and appointment procedures
Applications in English must include at least the following documents:
We look forward to receiving your complete application documents by July 18th, 2024.
General information can be found at the following links:
● Faculty of Informatics
● The four research foci of the Faculty of Informatics
● Institute of Logic and Computation
● Appointment Service: Information about professorships and appointment procedures
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 survey of research and development projects carried out and of funding/grants raised (volume, duration, funding body etc.), a list of patents, awards, editorial and expert work or/and organization of conferences etc., as well as a list of lecturing activities (including a list of invited lectures) and your teaching activities evidenced by a list of the university courses held so far and a list of supervised scientific works of students, such as bachelor, diploma and master theses as well as dissertations
- List of publications and copies of five of the most important publications
- Research and teaching concept with considerations on the future positioning and further development of the field Knowledge Representation and Reasoning
We look forward to receiving your complete application documents by July 18th, 2024.
