The Department for Computer Science and Biomedical Engineering at Graz University of Technology invites applications for the position of a
Tenure Track Professor of Machine Learning (m/f/d)
We are looking for a candidate with proven scientific expertise in the field of "Machine Learning" in research and teaching. Applications from the following areas are welcome. In particular, they should conduct basic research in this area in the overlapping field of sub-symbolic and symbolic Artificial Intelligence (AI) within the prestigious Cluster of Excellence Bilateral AI.
Job Description
The following topics are of particular interest:
- Brain-inspired Machine Learning
- Deep Learning with symbolic components
- Generative Deep Learning
- Neurosymbolic AI
- Privacy-preserving and explainable AI
- Trustworthy and robust Machine Learning
- Causality
- Knowledge Representation and Reasoning in combination with Machine Learning
The successful candidate will cover one of these areas or another area of Machine Learning that complements the existing strengths of the department. The professorship will be part of the Institute for Institute of Theoretical Computer Science, which is an internationally renowned research institution that conducts basic research in the area of Machine Learning, Computational Neuroscience, Brain-inspired principles of computation and learning, as well as Probilistic Machine Learning . The institute has been active in these fields for more than 30 years.
The new professor will complement the existing strengths in the department, will build an internationally visible group, and 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. At Graz University of Technology, undergraduate courses are taught in German or English and graduate courses are taught in English.
The advertised position is a tenure-track career position. (pursuant to § 99 para. 5 of the Universities Act) After the conclusion of a qualification agreement, the job holder is appointed as an Assistant Professor. After a positive evaluation of the qualification agreement, the position will be turned into a position as Associate Professor.
Additionally we offer an attractive starting package within the Bilateral AI project.
Employment Requirements
- A completed university education with a doctoral degree (PhD) in a relevant field.
- Proven publication activity in the field of machine learning.
- Excellent scientific achievements.
- Excellent didactic and pedagogical skills.
- Management and leadership abilities.
- Excellent command of English and command of German or the willingness to acquire it.
Selection Criteria
We also value:
- International experience and integration in the international research community.
- Experience with acquisition of research grants and/or industrial collaboration.
- Gender and diversity competences
We Offer
- Interesting area of responsibility
- Collegial and friendly working atmosphere
- Flexible working schedule (e.g. possibility for home office, paid lunch break)
- International training and teaching opportunities
- Seal of quality for in-house advancement of women
- Family-friendly employer
- Subsidy for public transport
- University’s sports program
- Shopping Discounts
- Workplace Health Management
- Top research infrastructure and access to the latest technologies
- Exciting opportunities for professional and personal development
- Safe and stable working environment
- Company pension funds
Equal Opportunity Employer
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. 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 and who have the relevant qualifications are expressly invited to apply.
How to apply
The position is listed with the position identification number 7080 / 2024 / 8054
Interested applicants are requested to submit the online application including:
- a CV (with copies of diplomas);
- a list of publications highlighting the 5 most important publications;
- a research statement describing past and planned research activities (5 pages max.);
- a teaching statement (5 pages max.) and evaluations of past teaching activities (if available); and
- names and contact information of two references.
For further questions, please contact Robert Legenstein (applications.csbme@tugraz.at), (no applications).
Please note that we can only accept applications submitted via our online application portal. Applications sent by e-mail or post will not be considered.
Important Dates
The hearings for the professorship will take place from 25th to 26th February 2025. Candidates should be available for interviews in this period.
