Research Associate Digital Health & Interactive Systems 100 %

About the job

Research Associate Digital Health & Interactive Systems 100 %

You do not develop just anything, but human-centered interactive systems with real benefits in health, education, and the working world - from multimodal inference to deployable prototypes with real users.

Department: School of Engineering

Start of work: Immediately or by arrangement. The position is initially limited until 31.03.2028, with the option of extension.

• You work with technical responsibility in research and innovation projects and develop concrete, application-oriented interactive systems with a focus on Digital Health as well as other application areas.
• You design, implement, and evaluate machine learning and signal processing approaches for multimodal sensor data (e.g., behavioral, interaction, or physiological data) to recognize states and adaptively control systems.
• You develop end-to-end prototypes – from data collection through data processing and inference to functioning applications with clearly defined interaction or assessment workflows.
• You implement user interfaces in web and mobile applications and integrate them with the developed ML components; if necessary, you also work with XR-based approaches.
• You work on integration into existing systems (e.g., via FHIR or openEHR) and support studies with real users, including data collection and evaluation.
• You work closely with clinical and industrial partners and contribute to publications, project reports, and funding applications.
• Optional: Depending on your profile, you may occasionally take on tasks in teaching, continuing education, or internal projects.
• You have a university degree at the master’s level in computer science, medical informatics, or a related field; with a very suitable profile, a bachelor’s degree with relevant professional experience is also possible. A doctorate is an advantage.
• You bring initial professional or substantial project experience (at least one year), ideally in one or more of the following areas: interactive systems, machine learning, signal processing, web or mobile development, digital health.
• You think conceptually strong and implement pragmatically at the same time; you communicate appropriately with partners from research, clinic, and practice.
• You are an open, team-oriented, and flexible personality with joy in interdisciplinary collaboration.
• Nice to have: Experience with FHIR, openEHR, XR, study implementations, or the development of data-driven health applications.

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.

ZHAW is committed to gender-mixed and diverse teams to promote equality, diversity, and innovation.

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.

The Institute of Applied Information Technology (InIT) is one of the largest institutes at ZHAW with an excellent reputation in computer science and data science in Switzerland and internationally.

The Human-Centered Computing research group at InIT comprises around 15 employees and focuses primarily on researching new concepts in visual computing, multimodal computing, and digital health as well as user-centered design of interactive and practice-oriented applications and services based on modern visual, multimodal, and intelligent technologies.

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:

Yanick Lukic

Lecturer Research Focus Human-Centered Computing

Irina Keiser

Recruiting Manager