In der aktuellen Covid-19 Situation laufen die Rekrutierungen weiter. Es kann dabei allerdings zu Verzögerungen kommen. Vielen Dank für Ihr Verständnis.

PhD position in applied computer science/ machine learning

100%, Zurich, fixed-term

Our research group in the field of Digital Health (Health Informatics/ Health Information Management) is looking for a new PhD student. We are located in the Department of Management, Technology, and Economics (MTEC) and represent the competence Core AI & Digital Biomarker, Acoustic and Inflammatory Biomarkers at the Centre for Digital Health Interventions.

Project background

Our research is driven by a strong desire to conquer the great challenges that our changing society poses to the healthcare system. In the 20th century, healthcare systems specialized in acute care. In the 21st century, we now face the challenge of dealing with the specific characteristics of chronic conditions. With the mass adoption of information and communication technology, new possibilities for the prevention and treatment of diseases in the everyday life of individuals have arisen. By leveraging these new technologies and drawing upon recent advances in artificial intelligence and statistical modeling, we strive to gain deep insights.

Job description

Different from a pure PhD in Computer Science or Mathematics, our work is more applied as we tailor mobile technology and advanced analytics to the specific requirements of the application. We are working on building cutting-edge end-to-end prototype systems for healthcare. Your office is located in the heart of Zurich - most likely Europe's most compelling place to live. Your work will involve key players and startups in the healthcare sector. You will work with a highly motivated team of young researchers in a very pleasant atmosphere. In the past, the usual length for a PhD degree has been around three and a half years, for which funding is guaranteed. During this time, participation in conferences and voluntary exchange programs are also supported. The salary and general working conditions are internationally highly competitive and according to ETH standards.

Your profile

Ideally, you hold a Master's degree in Electrical Engineering and Information Technology, Mechanical Engineering, Biomedical Engineering, Physics, or Computer Science (or a related field). Candidates must have great interest in new technologies and willing to learn. Programming experience is required. Fluency in the English and German language is highly recommended.

A tentative PhD candidate will be interested in the following topics:

  1. Health informatics   
  2. Machine learning / deep learning / artificial intelligence
  3. Acoustic and Inflammatory Biomarkers

Applicants will be screened continuously until the position has been filled.

ETH Zurich

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.
Working, teaching and research at ETH Zurich Link icon

Interested?

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

  • CV,
  • transcripts,
  • an example of academic writing (e.g., Master thesis).

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 Center for Digital Health Interventions can be found on our website. Questions about the position should be directed to Dr. Filipe Barata fbarata@ethz.ch (no application documents).

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.

Your workplace