Responsibilities

• Support and independent teaching of courses in the field of machine learning and speech processing as well as co-supervision of seminar papers, projects, bachelor and master theses.
• Participation in research tasks in the field of machine learning and speech processing, dissemination of research results through publications, preparation of a doctoral dissertation.
• General administrative activities, participation in university self-government. Support for the development and operation of the (laboratory) infrastructure in the field of machine learning and speech communication. Support in the execution of projects.

Admission Requirements

Master degree in computer science, mathematics, physics, electrical engineering, information engineering, or similar areas

Desired Qualification

• Experience in the field of machine learning and speech processing; experience and enthusiam for teaching; interest for independent scientific research, excellent programming skills
• Fluency in English and German.

We Offer

We offer an annual gross salary of at least € 53,705.40 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 Signal Processing and Speech Communication Laboratory was the main organizer of INTERSPEECH 2019 in Graz (https://interspeech2019.org) and takes the lead in building a Graduate School of Excellence in European Speech and Language Technologies together with seven partners of the Unite! University Alliance (https://www.unite-university.eu).