Associate Professor FH for Advanced Signal Processing 80-100%

ATTENTION

To submit your application, please use only the following link:  CLICK THIS LINK TO APPLY

Please do not click the application button at the top of this page. Your application will not be processed.

Employing Authority / Administrative Unit / Institution

The University of Applied Sciences and Arts Western Switzerland Fribourg (HTA-FR) is a member of the University of Applied Sciences Western Switzerland (HES-SO) and offers bilingual Bachelor’s and Master’s degree programmes.

Become part of our team!

HES-SO//FR pursues an employment policy of equal opportunities. We rely on the complementarity of skills and the diversity of perspectives, as it is the wide range of careers and profiles that makes the strength of the State of Fribourg. We promote the compatibility of professional and private life as well as flexible working conditions. To learn more, follow this link .

Your tasks

The Electrical Engineering degree programme at HTA-FR offers a practice-oriented engineering education with specialisations in Energy Systems as well as Embedded Electronics and Signal Processing. This is closely linked with the applied research institute iSIS, which develops innovative solutions in the field of intelligent and secure systems in collaboration with the regional economic environment.

Tasks and areas of activity

• Teaching at Bachelor’s and Master’s level as well as in continuing education in the fields of advanced signal processing, data science and embedded artificial intelligence
• Acquisition of projects and development of applied research activities at the iSIS institute
• Management and strategic development of the Signal Processing Laboratory
• Representation of HTA-FR in relevant professional and scientific networks

Desired profile

• Completed engineering degree in electrical engineering, ideally with a doctorate or equivalent scientific and technical qualification
• Solid professional experience in applied research as well as in an industrial environment
• Profound expertise in signal processing, machine learning and embedded systems for analysing, utilising and exploiting measurement data, including the analysis of complex signals, filtering, data fusion, estimation, detection, information extraction as well as the integration of physical and data-based models
• High teaching competence and enthusiasm for teaching and supervising students
• Experience in acquisition, management and valorisation of third-party funded R&D projects
• Good communication and teamwork skills
• Proficiency in German or French as well as good knowledge of the other language and English

Contact person

André Kneuss, Head of Electrical Engineering Degree Programme, Tel. 026 429 65 65