PhD position at the intersection of neurology, data science, and neuroimaging

Updated: about 2 months ago
Job Type: FullTime
Deadline: 08 Nov 2022

PhD position at the intersection of neurology, data science, and neuroimaging


The topic of this PhD project concerns an important question in neurology, i.e. whether individual responses to treatment of low back pain can be predicted. Specifically, using data science and machine learning, the project aims to identify clinical and imaging biomarkers that are predictive of treatment response to injection therapy against low back pain. The project capitalises on large biomedical datasets that are being collected at the Department of Neurology at Schulthess Clinic Zurich and benefits from the close collaboration of PIs from data science (Prof. Catherine Jutzeler), neuroimaging (Prof. Ender Konukoglu), and neurology (Dr Zina-Mary Manjaly). The project involves establishing a database system and deploying cutting-edge analysis techniques for establishing individual predictors from clinical, imaging, and movement data.

The tentative starting date is October 2022 or later. Applications are accepted until the position is filled.


Job description

You are expected to work towards a doctoral degree and participate in the teaching activities of the group. This full-time position offers the student an excellent opportunity to delve into the world of data science and machine learning as well as gain deep fundamental knowledge about biomedical imaging processing. You will join an inclusive, diverse, and supportive working environment that praises scientific curiosity and creativity.


We offer

ETH Zurich is a family-friendly employer with excellent working conditions. You can look forward to an exciting working environment, cultural diversity and attractive offers and benefits.


Your profile

You are a highly motivated, committed, and creative candidate, who can work in a multidisciplinary team and with outstanding communication skills.

At the time of appointment, you have completed a Statistics, Computer Science, Data Science, Computational Biology, or related fields with a strong focus on applied statistics and/or machine learning. A strong command of Python is required. Ideally, you have experience in biomedical imaging processing. A substantive interest in biomedical research is desirable. All work-related interactions are in English and German. Excellent English and German writing and communication skills are essential.


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.


Curious? So are we.

We look forward to receiving your online application including:

  • Cover letter with the description of your research achievements and research interests
  • Detailed curriculum vitae
  • Transcripts of all degrees (English or German)
  • Language certificates
  • Names and contact information of at least three references
  • Representative published research work (Papers, thesis if possible)

Review of applications will begin immediately and will continue until the position is filled. As soon as a decision has been made, we will inform you about the next steps in the selection procedure. 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 Prof. Dr Catherine Jutzeler (Catherine.Jutzeler@hest.ethz.ch ) or Dr Zina-Mary Manjaly (Zina-Mary.Manjaly@kws.ch ).


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