Fribourg
Associate HES Professor in Advanced Signal Processing
- 13 November 2026
- 80 – 100%
- Permanent position
- Fribourg
About the job
Would you like to contribute to the development of the canton of Fribourg, have a public service mindset, and are looking for a varied and meaningful position? At the State of Fribourg, you will work for the canton’s largest employer. Attentive, dynamic and forward-looking, the cantonal administration and its institutions serve the population of Fribourg.
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The Fribourg School of Engineering and Architecture (HEIA-FR) is a member of the University of Applied Sciences and Arts Western Switzerland (HES-SO) and offers bilingual bachelor’s and master’s degree programmes.
The HES-SO//FR adopts a recruitment policy promoting equal opportunities. We rely on the complementarity of skills and the variety of perspectives because it is the diversity of backgrounds and profiles that strengthens the State of Fribourg. We encourage work-life balance and flexible working conditions. For more information, follow this link .
The electrical engineering programme at HEIA-FR offers practice-oriented engineering training with two specialisations — Energy Systems or Embedded Electronics and Signals — and is supported by the applied research institute iSIS, which develops innovative solutions in the fields of intelligent and secure systems in collaboration with the regional economic fabric.
Mission and field of activity
- Teaching at bachelor, master and continuing education levels in the fields of advanced signal processing, data science and embedded artificial intelligence
- Acquisition of projects and development of applied research activities within the iSIS institute
- Management and strategic development of the signal processing laboratory
- Representing HEIA-FR in relevant professional and scientific networks
- Engineering degree, ideally with a doctorate in electrical engineering or scientific and technical skills deemed equivalent
- Professional background combining applied research and extensive experience in an industrial environment
- In-depth expertise in signal processing, machine learning and embedded systems for the analysis, exploitation and enhancement of measurement data, including complex signal analysis, filtering, data fusion, estimation, detection, information extraction as well as integration of physical and data-driven models
- Strong interest and aptitude for teaching and supervising students
- Experience in acquiring, managing and valorising externally funded applied research projects
- Communication skills and ability to work in a team
- Proficiency in French or German with good knowledge of the other language, as well as English
Mr André Kneuss, head of the electrical engineering programme, Tel. 026 429 65 65
