Lecturer: Extended Reality (XR) with a focus on Visual Intelligence 80 - 100 %

Lecturer: Extended Reality (XR) with a focus on Visual Intelligence 80 - 100 %

You research and develop innovative XR solutions and teach at Bachelor and Master levels.

Department: School of Engineering

Start of work: June 2026 or by arrangement (application deadline: 13.02.2026)

• Research & Development: You build your own research area in Extended Reality (AR/VR/MR), for example for applications in education, virtual training, and immersive knowledge transfer. In this area, you acquire and lead R&D projects (Innosuisse, EU, SNF, etc.) in collaboration with industry partners. You publish project results in renowned journals and present them at conferences.
• Teaching: You teach both basic and advanced modules in the fields of Visual Computing and Applied Machine Learning in the degree programs Data Science, Computer Science, and Industrial Engineering at Bachelor and Master levels. You supervise students in project, Bachelor, and Master theses. You further develop teaching modules and build new teaching modules in the XR area.
• Collaboration: You actively shape the strategic further development of the Visual Intelligence focus area.
• You hold a PhD in Computer Science, Robotics, or a related field.
• You have published in relevant conferences or journals.
• You know the trends in the field and are able to develop it innovatively.
• You have practical experience in user-centered development of applications and services.
• You have several years of research and development experience, preferably in industry (at least 3 years), as well as in acquiring and leading research projects.
• Ideally, you have experience teaching at a university.

You enjoy working both independently and in a team, are quality-conscious, and enjoy scientific and technically demanding tasks. Part of the work (max. 2 days) can be done remotely. Thanks to your high self-motivation, your willingness to shape, your enthusiasm, and your joy in challenging, current issues, you actively shape the future of the Visual Intelligence focus area. Teaching is conducted in German and English. Any missing language skills in one of the two languages will be acquired in the medium term. You are characterized by your customer- and result-oriented way of working.

The ZHAW Zurich University of Applied Sciences, with over 14,000 students and over 11,000 continuing education participants as well as around 3,700 employees, is one of the largest multi-disciplinary universities of applied sciences in Switzerland.

The School of Engineering (SoE), as one of the leading educational and research institutions in Switzerland, focuses on future-relevant topics. 14 institutes and centers guarantee high-quality education, research, and development with a focus on energy, mobility, information, and health.

At the Institute of Data Science (IDS), we turn data into tangible added value. With a strong scientific foundation and a clear focus on practical solutions, we develop innovative approaches in Data Science and Business Engineering.

The Visual Intelligence and Applications (VIA) focus area at IDS investigates how visual data can be captured, understood, and generated. We use methods of computer vision to extract information from images of the real world. These are processed so that they are accessible to users in immersive environments (AR/VR) as well as in classic applications. This creates new possibilities for communication, knowledge transfer, and the acquisition and training of skills.

ZHAW is committed to gender-mixed and diverse teams to promote equality, diversity, and innovation. To increase the proportion of women in leadership positions, applications from women are particularly welcome.

We offer university-appropriate working and employment conditions and actively promote the personnel development of our employees and managers. A detailed description of the benefits can be found on the "Working at ZHAW" website. Here are the main points:

Prof. Dr. Helmut Grabner

Head of Visual Intelligence and Applications

Jasmin Strobel

Recruiting Manager