Responsibilities

• Independent teaching of compulsory courses in the areas of data structures and algorithms, machine learning in the degree programs Computer Science, Biomedical Engineering, Artificial Intelligence Engineering, as well as courses from the elective catalog Machine Learning for master's degree programs in the above-mentioned fields of study, among others
• Supervision of projects, bachelor's theses, and master's theses
• Research in the fields of machine learning and computational neuroscience as well as neurosymbolic AI
• Publication of research results in relevant journals and at conferences,
• Writing a subject-specific dissertation
• Assistance with project management
• Assistance with administration at the institute

Admission Requirements

Completed master's or diploma degree in Computer Science or equivalent degree

Very good knowledge of machine learning and computational neuroscience

Desired Qualification

• Excellent academic performance
• Very good communication skills
• The ability to work meticulously in a scientific field
• Experience in assisting with university teaching is desirable (e.g., tutoring, support activities)
• Willingness and ability to teach courses in the areas of algorithm design, computational neuroscience, and machine learning is expected

We Offer

We offer an annual gross salary of at least € 52,007.20 for a fulltime position. An overpayment based on qualification and experience is possible.

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.

About us

Graz University of Technology is the longest-established university of technology in Austria. Here, successful teams of students, talented up-and-coming scientists, ambitious researchers and a lively start-up scene enjoy an inspirational environment as well as access to top-quality equipment. And all this in one of the most innovative and livable regions in Europe. TU Graz offers an inspiring working environment with outstanding infrastructure and service-oriented university management.

In this video, we give you an insight into the working environment at TU Graz: HERE

Organisational Unit

The Institute of Machine Learning and Neural Computation was founded in 1992 to research fundamental problems in information processing, such as the design of computer algorithms, the complexity of computations and computational models, automatic knowledge acquisition (machine learning), the complexity of learning algorithms, pattern recognition with artificial neural networks, computational geometry and information processing in biological neural systems. Its research integrates methods from mathematics, computer science and computational neuroscience. In teaching, the institute is responsible for courses and seminars that introduce students to the basic techniques and results of theoretical computer science. In addition, it offers advanced courses, seminars and applied computing projects in computational geometry, complexity theory, machine learning and neural networks.

Contact

Graz University of Technology
Dean of the Faculty of Computer Science and Biomedical Engineering

For further questions, please contact Robert Legenstein, robert.legenstein at tugraz.at (no applications). Please note that we only accept applications submitted via our online application portal. Applications by e-mail or post will not be considered.