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Digitalisation has brought about societal and technological change across all areas of life. With its know-how, the ZHAW School of Engineering makes a crucial contribution to the digitalisation process, both in its education and continuing education programmes and its research and development activities.


Smart production sites and robots executing ever more complex tasks has a marked effect on the everyday work of engineers. They will increasingly plan, steer and monitor processes, solve problems and coordinate cross-disciplinary tasks, all of which requires solid digitalisation skills. This is why specialist skills and knowledge in Information Technology and Data Analysis are being taught from the first semester in all ZHAW School of Engineering degree programmes. Practical and, in part, interdisciplinary projects form a key part of the curriculum, fostering generic skills such as working in a team, communication skills as well as project and process management. In addition to conventional forms of learning and teaching, digital methods are being applied inteaching, among them interactive simulations, interconnected knowledge platforms and Virtual Reality environments.

Digital forms of teaching

Continuing Education

Digitalisation may open up a range of opportunities, but it also requires new business models, processes and customer relationships. Plants, systems and entire businesses are increasingly data driven. It is against this background that Data Science has evolved to be one of the key components in any successful transformation strategy. The ZHAW School of Engineering therefore offers a range of continuing education programmes in the fields of Data Science and Industry 4.0.

Continuing education programmes

"Intelligent interconnectedness not only plays an increasingly important role in industry, but in almost all areas of life."

Research and Development

Behind buzzwords such as Data Science, Deep Learning, Smart City or Industry 4.0, new areas of research explore the chances and risks of an intelligently interconnected world. The complexity of these topics requires knowledge from various disciplines and the ability to work together in expert networks. This is why the ZHAW School of Engineering has created theme-based platforms for researchers across specialisations to bundle their know-how. They support companies, institutions and the administration in their transformation processes and in the development of new models for both business and living.

Interdisciplinary Platforms



ZHAW launches Centre for Artificial Intelligence

Machine Learning and Deep Learning have established themselves as major fields of research at the ZHAW School of Engineering. Scientific expertise around artificial intelligence is increasingly sought-after. By repositioning itself within the university, the discipline has gained visibility.

Prof. Dr. Thilo Stadelmann (left) and Prof. Dr. Mark Cieliebak are the initiators of the newly founded Center for Artificial Intelligence at ZHAW.

Automated legal analysis of contracts, the digital reading of sheet music and visual quality control of medical implants are just three of many artificial intelligence (AI)-based examples of application developed at the ZHAW School of Engineering. The research volume in the field has increased significantly over the past few years. In response to this trend, the School of Engineering has launched the Centre for Artificial Intelligence (CAI). “We built the Centre on a solid foundation: thanks to many years of experience in the field of machine learning, we already have a substantial body of knowledge to draw from,” says Dirk Wilhelm, Dean and Managing Director of the ZHAW School of Engineering. The Centre, which is spin-off of the Institute of Applied Information Technology, will commence operations on 1 April 2021 with a staff of twenty.

Focus on research and teaching

The CAI considers itself a competence centre for AI with specific focus on machine learning and deep learning. In its research, the CAI focuses on the advancement of the latest algorithms and models—for instance in the field of deep neural networks—to address complex application problems in various industries and domains. The Centre divides its activities into four strategic key areas: Autonomous Learning Systems, Explainable AI, Natural Language Processing as well as Computer Vision, Perception and Cognition. At Bachelor’s and Master’s level, the CAI chiefly contributes to the Information Technology and the new Data Science programmes. However, its involvement in teaching also extends to continuing education programmes. By taking the lead in specialised modules and supervising Bachelor’s and Master’s theses with a methodological orientation, the CAI brings together teaching and research.

Human-centric development

“Our holistic approach to issues around AI ensures broad and long-term applicability for the solutions to any one of the tasks we are working on,” says Thilo Stadelmann, ad interim Head of the CAI. Its ethical stance towards AI is of surpassing importance for the CAI. “The use of AI has the potential to have far-reaching effects on almost every area of society. From development to application, our efforts centre around people and from research to implementation, we are committed to an ethical approach.” He argues that, as a university of applied sciences, the ZHAW provides a proximity between foundational research and its applications. “With the newly launched CAI, we are not only well-positioned within the ZHAW, put also in the research landscape overall,” he adds. “This makes it easy for potential project partners to connect with us.”

Save the date:

On 29 June 2021, the Centre for Artificial Intelligence of the ZHAW School of Engineering will open in a festive setting and provide more detailed information about its activities – invitation to follow.


Professor Dr Thilo Stadelmann, ad interim Head of the Centre for Artificial Intelligence, ZHAW School of Engineering, phone 058 934 72 08, email

Professor Dr Dirk Wilhelm, Dean and Managing Director, ZHAW School of Engineering, phone 058 934 47 29, email

Matthias Kleefoot, Public Relations Manager, ZHAW School of Engineering, phone 058 934 70 85, email