PhD Position – Biomedical Robotics in Hydrocephalus Research
100%, Zurich, fixed-term
The PhD position is part of an interdisciplinary research project at the intersection of robotics and biomedical engineering, conducted in close collaboration with neurosurgeons from the University Hospital Zurich, biomedical engineers and veterinarians from the University of Zurich, as well as international collaborators from Umeå University in Sweden and the Massachusetts Institute of Technology in the US.
Hydrocephalus is a severe and common neurological disorder that occurs in many different forms from childhood to old age. Our research focuses primarily on normal pressure hydrocephalus (NPH) in elderly patients, which affects approximately 6% of people over the age of 80. The disorder presents with an enlargement of the brain ventricles, presumably due to a mismatch of secretion and resorption of cerebrospinal fluid (CSF). Patients exhibit symptoms such as mental impairment and gait disturbance. Hydrocephalus is usually treated by lifelong therapy with shunts that drain CSF from the brain ventricles into the abdomen. These conventional shunt systems are typically based on passive mechanical pressure valves.
To improve the therapy for hydrocephalus patients, we combine in silico and in vitro studies with animal experiments to gain a better quantitative understanding of the disorder and to develop intelligent mechatronic shunt systems.
Job description
The PhD position addresses the following goals:
- Developing mechatronic systems for in vivo applications (NPH animal model and active shunt)
- Designing and deploying advanced algorithms for estimation and control
- Conducting in vivo trials with sheep in collaboration with veterinary and clinical colleagues
- Signal analysis and data processing from acute and chronic in vivo trials
- Deriving dynamical system models for CSF simulation studies and hardware-in-the-loop shunt testing
Profile
You will have:
- a Master of Science degree from a recognized university (or close to completion) in mechanical, electrical, robotics, control or biomedical engineering
- a passion for practical and methodological work following a systematic and sound approach in a medical application
- strong interest in working in a highly interdisciplinary environment
- a background in hardware development, control theory, signal processing, and machine learning
- curiosity, open-mindedness, and good communication skills
- proficient oral and written English skills
Workplace
Workplace
We offer
- Ihr Beruf mit Wirkung: Werden Sie Teil der ETH Zürich, die nicht nur Ihre berufliche Entwicklung unterstützt, sondern auch aktiv zu positiven Veränderungen in der Gesellschaft beiträgt
- Wir engagieren uns für eine nachhaltige und klimaneutrale Hochschule
- Es erwarten Sie zahlreiche Vergünstigungen, wie z.B. ÖV-Abonnemente und Car Sharing, ein breites Sportangebot des ASVZ, Kinderbetreuung sowie attraktive Vorsorgeleistungen
We value diversity
Curious? So are we.
We look forward to receiving your online application with the following documents:
- CV
- short statement of objectives and research interests (1-2 pages)
- transcripts of all degrees obtained (in English)
- names and contact information of three references
- one publication (e.g. thesis / paper)
Please note that we exclusively accept applications submitted through our online application portal. Applications via email or postal services will not be considered.
Further information about the Department of Mechanical and Process Engineering/Intelligent Control Systems can be found on website. Questions regarding the position should be directed to Dr. Marianne Schmid Daners, marischm@ethz.ch (no applications).
About ETH Zürich
Curious? So are we.
We look forward to receiving your online application with the following documents:
- CV
- short statement of objectives and research interests (1-2 pages)
- transcripts of all degrees obtained (in English)
- names and contact information of three references
- one publication (e.g. thesis / paper)
Please note that we exclusively accept applications submitted through our online application portal. Applications via email or postal services will not be considered.
Further information about the Department of Mechanical and Process Engineering/Intelligent Control Systems can be found on website. Questions regarding the position should be directed to Dr. Marianne Schmid Daners, marischm@ethz.ch (no applications).