Tenure Track Professor of Machine Learning (m/f/d)

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Tenure Track Professor of Machine Learning (m/f/d)

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Job description

Offer DescriptionGraz University of Technology is the oldest science and technology research and educational institute in Austria. For over 200 years, it has been an important international center for research and teaching. The university delivers top performances in its five Fields of Expertise: Advanced Material Science, Human & Biotechnology, Information, Communication & Computing, Mobility & Production, and Sustainable Systems. The university boasts intensive collaboration with national and international research and educational establishments as well as with industry partners worldwide.The Department of Computer Science and Biomedical Engineering at Graz University of Technology is an internationally highly ranked department committed to excellence in research and teaching. The department performs highly visible research in its main research of focus: Biomedical Engineering, Safety and Security, Artificial Intelligence, and Visual Computing. We are proud of our outstanding basic and applied research and encourage interdisciplinary projects. Moreover, our department fosters a close dialogue with industry and encourages and supports the creation of spin-off companies.Job DescriptionWe 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 ExcellenceThe 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 , 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.

• 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.

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

All documents (except diplomas) have to be provided in English.

• 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.

Applicants should have a strong command of the English language, both written and spoken, to be able to effectively represent the field internationally, and they must also be willing to learn German if they do not already know the language.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.The hearings for the professorship will take place from 25th to 26th February 2025. Candidates should be available for interviews in this period.Please send your application to the dean of the department of Computer Science and Biomedical EngineeringMore on:For further questions, please contact Robert Legenstein ( ), (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.Where to apply E-mail[email protected] WebsiteRequirementsResearch Field Computer science Education Level PhD or equivalentLanguages ENGLISH Level ExcellentResearch Field Computer science Years of Research Experience 4 – 10Additional InformationEligibility criteriaWebsite for additional job detailsWork Location(s)Number of offers available 1 Company/Institute Institute of Theoretical Computer Science Country Austria City GRAZ Postal Code A-8010 Street Rechbauerstraße 12Contact CityGRAZ WebsiteStreetRechbauerstraße 12 Postal CodeA-8010 E-Mail[email protected] Phone(+43) 316 873 – 4050STATUS: EXPIREDShare this page

Expected salary

Location

Graz, Steiermark

Job date

Thu, 21 Nov 2024 07:05:17 GMT

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