Stelleninserat ZHAW

Zurich University of Applied Sciences ZHAW is one of Switzerland’s largest multidisciplinary universities of applied sciences, with over 12,000 students and 3,000 faculty and staff.

As one of the leading Engineering Faculties in Switzerland, the ZHAW School of Engineering (SOE) emphasises topics which will be relevant in the future. Our 13 institutes and centres guarantee superior-quality education, research and development with a focus on the areas of energy, mobility, information and health.

Since 2013 the Institute of Applied Information Technology has teamed up with five other institutes from three departments to establish one of the first interdisciplinary Data Science Centers in Europe – the ZHAW Datalab ( It runs a focus area on deep learning methodology, spanning several research groups, with several multi-year research projects on the applicability of reinforcement learning to areas from game playing to home automation.

Within the Research Group Information Engineering of the Institute of Applied Information Technology (, we are looking for a highly motivated and excellent candidate as:

Research Assistant or PhD candidate in Machine Learning, Deep Learning, Reinforcement Learning (Information Engineering Group)

Your responsibilities:
•    Contribute to research projects in the area of deep neural networks, specifically reinforcement learning
•    Become an expert in the fields of deep learning / reinforcement learning, with a track record of published own research results and successful technology transfer

The successful candidate has finished a Master’s degree in computer science at a research university or a university of applied sciences within the last two years. He or she must have reliable experience in deep neural networks (e.g., done coursework and own experimentation, ideally proven by successful projects or publications). We expect a good command as well as a passion for programming, ideally in python using TensorFlow. Good communication skills in English and in German are an asset for the work in multidisciplinary teams. The ideal candidate has an affinity to related fields in Information Engineering, such as Big Data and Information Retrieval, and will demonstrate an understanding of the academic, industry, and technology landscape, identify unsolved problems and propose novel ideas for future activities. Particular emphasis is given to developing prototypes, experimenting hands-on with data, and scientific evaluation and publication of results.

We offer a competitive, technically stimulating, and exciting environment. For high-potential candidates, the pursuit of a doctorate in conjunction with a partner university is possible. Responsibility is provided with respect to contributing to and furthering research agendas in the abovementioned fields. The candidate will have the opportunity to establish partnerships with industrial partners, acquire funding for collaborative research, and to devise and transfer research solutions to enterprise contexts. The position will also involve publishing, for example by writing papers, contributing to open source software, presenting at scientific conferences, etc. As well as providing an excellent work environment, we provide intellectual liberty and competitive compensation based on Swiss standards at one of the leading houses for data science research in Switzerland.

Do you have any questions about this position?
For additional information, please contact Dr. Thilo Stadelmann, Senior Lecturer for Information Engineering, phone +41 58 934 72 08, e-mail

Are you interested?
If you would like to apply, please use the online platform only to send your full application until January 30, 2018, attn. Regina Peil, HR Consultant in Winterthur.