Postdoc in Medical Data/Neurorehabilitation

The shared position is associated with the ETH Zurich's Rehab Initiative and its coordinating competence center for Rehabilitation Engineering and Science (RESC) with the aim of strengthening and expanding Switzerland's excellent position as a leading international hub for rehabilitation research (resc.ethz.ch). You will join and profit from a large interdisciplinary network and will be involved in core activities in the field hosted by RESC. At ETH Zurich, you will be directly affiliated with Prof. Robert Riener’s research group, the leading chair of RESC. At the University of Zürich, you will be associated with Prof. Andreas Luft’s research group which has a long history of large-scale clinical trials in the area of stroke rehabilitation and home rehabilitation. Within this group, you will work closely with the cereneo Foundation, a non-profit research foundation that specializes in developing and deploying digital data collection tools and health interventions into clinical practice (www.cereneo.foundation).

“SwissNeuroRehab”, an Innosuisse flagship project, aims to develop a new model of neurorehabilitation which address the whole continuum of care - from in-patient rehabilitation to decentralized home therapy. The blend of conventional therapy approaches augmented with digital tools and completely novel technologies for home rehabilitation affords an opportunity to provide truly personalized care to patients and people living with disabilities. The flagship project unites the major academic, clinical, and industrial players in Switzerland towards this common goal. ETH Zurich and the University of Zurich are part of this team and are offering in this context a shared position for a postdoctoral researcher.

Your responsibility will be to carry out research and development in medical data acquisition and medical standards in collaboration with other research and development teams within the Innosuisse flagship project. You will act within a joint function between ETH Zurich and the University of Zurich and will be required to travel between the various collaborators. Within the role, you are expected to develop digital pathways and warehousing solutions for clinical data that are interoperable, user-friendly, secure, and compliant with ethical and regulatory requirements. User-facing digital data acquisition tools and rehabilitation technology will be able to interact with your centralized warehousing solution, and your solution will provide the flexibility and performance to run large-scale analyses. In the completed state, the solution will be extended to remote rehabilitation settings and enable data analysis over the entire continuum of care.

• Doctorate in computer science, data engineering, or a related subject
• Proven record of leading interdisciplinary projects
• Proven track record in big data processing and deploying machine learning models into production
• Preferred with experience in digital health, mobile health, and biomedical sensor data acquisition
• Strong analytical, mathematical, and algorithmic capabilities
• Experience in databases and recent data interoperability frameworks (e.g. FHIR, OMOP)
• Proficiency in programming, preferably in Python and Java, SQL is a must
• Experience with clinical/human trials will be considered an asset
• Very good knowledge of English, German/French/Italian is a plus
• Project management skills and the ability to supervise master theses and internship students

You will join a team of clinical and research scientists in the task of improving rehabilitation systems through physiological and clinical data systems design and analysis. The focus of this work will bring you close to intelligent health management while exploring various health data frameworks. You will experience multimodal data from robotic rehabilitation, digital data collection, general clinical practice, and detailed clinical studies focusing on interoperability, data transfer, and standardization among multiple clinical systems and devices. As part of the position, we will enable you to interact and gather deep experience working closely with our wide range of collaborators, including the clinical data warehouse (CTC, USZ), digital trial intervention center (dTIP, ETH), SCAI Lab (SPZ Nottwil), Sense Innovation Research Center (HES-SO Valais), cereneo Foundation. A versatile and challenging task at the interface of clinic and academia awaits you.

We look forward to receiving your online application with the following documents:

• Curriculum vitae
• Cover letter describing your motivation and research experience (max 1 page)
• Copy of one relevant journal publication
• Name and contact details of two referees

Please note that we exclusively accept applications submitted through our online application portal. Applications via email or postal services will not be considered.

Questions regarding the position should be directed to Chris Awai chris.awai@cereneo.foundation (no applications).