Zurich University of Applied Sciences ZHAW is one of Switzerland’s largest multidisciplinary universities of applied sciences, with over 13,000 students and 3,000 faculty and staff.

As one of the leading Engineering Faculties in Switzerland, the ZHAW School of Engineering 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.

The Institute of Applied Information Technology successfully conducts deep learning research, with numerous multi-year research projects on the applicability of deep learning in supervised, unsupervised and reinforcement learning settings to use cases in industry, business and health so far. Currently, a number of PhD students, senior researchers and faculty is working on projects in document recognition (tiny object detection), medical imaging (4D unsupervised denoising), food waste analysis (semantic segmentation) or logistics (multi-agent deep RL), often in collaboration with adjacent research groups with the ZHAW Datalab (www.zhaw.ch/datalab).

Within this Research Group Information Engineering of the Institute of Applied Information Technology and in the context of the abovementioned projects, we are looking for a mature and excellent candidate as:
Experienced Researcher Applied Deep Learning (Information Engineering Group) (100 %)
Your responsibilities:
  • Researching: You ideate novel solutions and implement and evaluate them efficiently
  • Productizing: You give the final touch to research prototypes for successful tech transfer
  • Disseminating: You mediate your results in papers, talks, seminars, events, and mentor younger researchers
The successful candidate has finished a Master’s and ideally PhD degree in computer science or a related field. He or she must have demonstrated at least 3-year experience in developing solutions with deep neural networks, as well as an excellent command and a passion for software development in Python using TensorFlow and/or PyTorch. This enables the candidate to work hands-on in research projects with focus on successfully balancing scientific novelty and industrial applicability; and to take the lead in work packages of projects and proposals, mentoring younger colleagues and students on the go. The ideal candidate is inclined to devote a smaller part of his or her time to other aspects of work in applied science, e.g. in education, event organization, or representing the team at national and international venues. We thus expect very good written and oral communication skills in English and in German.

We offer a competitive, technically and scientifically stimulating, and exciting environment. Responsibility is provided with respect to 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 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 applied machine learning research in Switzerland.

ZHAW offers its employees a flexible annual working time model and places for children and infants in supervised day care centres. The current position is initially tied to the duration of projects starting in January 2020 and running for 2-3 years.
Do you have any questions about this position?
For additional information, please contact Prof. Dr. Thilo Stadelmann, deputy head of Information Engineering, phone +41 58 934 72 08, e-mail thilo.stadelmann@zhaw.ch). Find more information: www.zhaw.ch/init

Are you interested?
If you would like to apply, please use the online platform to send your full application until December 31, 2019, attn. Esther Huber, HR Consultant in Winterthur. Please be advised that we only consider applications via our online-platform and not by mail or by e-mail.
For further information on our Institute, go to: www.zhaw.ch
Zurich University of Appliend Sciences