PhD Position in Hydrocephalus Research

Updated: 3 months ago
Job Type: FullTime
Deadline: 10 Dec 2023

12 Sep 2023
Job Information

ETH Zürich
Research Field

Engineering » Biomedical engineering
Engineering » Electrical engineering
Computer science » Other
Physics » Other
Researcher Profile

First Stage Researcher (R1)

Application Deadline

10 Dec 2023 - 22:59 (UTC)
Type of Contract

Job Status

Hours Per Week

Is the job funded through the EU Research Framework Programme?

Not funded by an EU programme
Is the Job related to staff position within a Research Infrastructure?


Offer Description

PhD Position in Hydrocephalus Research

This highly interdisciplinary research project builds on previous and ongoing work carried out in close collaboration with neurosurgeons from the University Hospital Zurich, biomedical engineers and veterinarians from the University of Zurich, and international collaborators. We aim to develop a profound knowledge base for hydrocephalus and a novel treatment for hydrocephalus patients.

Project background

Hydrocephalus is a severe and common condition that occurs in many different forms from childhood to old age. The disease 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 disorders, gait disturbance, and incontinence. It is usually treated by lifelong therapy with shunts that drain CSF from the brain ventricles into the abdomen. This technology is seventy years old, and the disease is still not well understood.

We aim to develop a hydrocephalus ovine model mimicking the functional characteristics of CSF disorders.

Job description

The PhD research topic includes developing acute and chronic pathologic ovine models and developing a miniaturized actuation device for long-term in vivo implantation as well as the quantification of hydrocephalus onset and neurologic deficits by assessing magnetic resonance or computer tomography imaging. Furthermore data analysis, modeling, and application using the existing testbench and artificial intelligence, machine learning, and computer vision.

Your profile

You will have:

  • a Master of Science degree from a recognized university (or close to completion) in electrical engineering, biomedical engineering, or physics
  • a passion for practical and theoretical work following a systematic and sound approach in a medical application
  • strong interest in working in a highly interdisciplinary environment and pursuing animal trials
  • a background in signal and data processing, modeling, applied artificial intelligence, and machine learning
  • curiosity, open-mindedness, and good communication skills
  • proficient oral and written English skills

We offer

We are a highly motivated research group, offering an excellent research infrastructure and environment, as well as a competitive salary and benefits.

Working, teaching and research at ETH Zurich

We value diversity
In line with our values , ETH Zurich encourages an inclusive culture. We promote equality of opportunity, value diversity and nurture a working and learning environment in which the rights and dignity of all our staff and students are respected. Visit our Equal Opportunities and Diversity website to find out how we ensure a fair and open environment that allows everyone to grow and flourish.
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, (no applications).

About ETH Zürich
ETH Zurich is one of the world’s leading universities specialising in
science and technology. We are renowned for our excellent education,
cutting-edge fundamental research and direct transfer of new knowledge
into society. Over 30,000 people from more than 120 countries find our
university to be a place that promotes independent thinking and an
environment that inspires excellence. Located in the heart of Europe,
yet forging connections all over the world, we work together to
develop solutions for the global challenges of today and tomorrow.
Research Field
Years of Research Experience
1 - 4

Research Field
Years of Research Experience
1 - 4

Research Field
Computer science
Years of Research Experience
1 - 4

Research Field
Years of Research Experience
1 - 4

Additional Information
Website for additional job details

Work Location(s)
Number of offers available
ETH Zürich
Postal Code
Rämistrasse 101

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