Intelligent Speech Interfaces - Assistant Professorship with Tenure Track

The Faculty of Engineering at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) invites applications for a

Tenure Track Professorship for Intelligent Speech Interfaces

(W1 / Assistant Professor)

 at the Department of Computer Science. The professorship is to be filled by the earliest possible starting date, for an initial period of three years. Upon successful evaluation, the appointment will be extended for another three years. FAU offers the long-term perspective of a permanent appointment to a W3 professorship if the requirements of the tenure evaluation are met. The professorship is financed with funds from a Federal and State programme for supporting young researchers at German universities.

We seek to appoint a top early career scientist who will develop outstanding expertise in the field. The aim of the professorship is to set up a chair in computer science as part of a tenure process within the framework of the AI Network Bavaria and the High-Tech Agenda Bavaria (HTA). The successful candidate will have experience in at least one of the areas of automatic speech recognition, dialogue systems, and speech assistance systems and must have a strong background in machine learning. Participation in the computer science, artificial intelligence, medical engineering, and data science degree programmes is expected.

Successful candidates demonstrate initial academic achievements and the capacity for independent research at the highest international standards. You have substantial research experience abroad and/or experience in managing research projects and in raising third-party funding. A university degree and an outstanding doctoral degree as well as a passion for education and pertinent teaching experience are also prerequisites. Candidates who are able and willing to teach in both English and German are desired.

FAU expects applicants to become actively involved in administering academic affairs and in developing strategic initiatives. FAU pursues a policy of intense student mentoring and therefore expects its teaching staff to be present during lecture periods.

FAU offers career development, mentoring and an attractive initial research budget. Based on international standards and transparent performance agreements, FAU ensures a fair tenure track evaluation process.

In its pursuit of academic excellence, FAU is committed to equality of opportunity and to a proactive and inclusive approach, which supports and encourages all under-represented groups, promotes an inclusive culture and values diversity. FAU is a family-friendly employer and is also responsive to the needs of dual career couples.

Please submit your complete application documents (CV, list of publications, list of lectures and courses taught, copies of certificates and degrees, list of third-party funding) online at https://berufungen.fau.de by 30 June 2021, addressed to the Dean of the Faculty of Engineering. Please contact tf-dekan@fau.de with any questions.