PhD Position in Applied Computer Science, ETH Zurich, Switzerland

Postdoc Position at University of Zurich Switzerland

PhD Position in Applied Computer Science: Join a dynamic research team at ETH Zurich working on groundbreaking projects aimed at detecting and preventing cannabis-impaired driving. This position offers the opportunity to contribute to a critical area of public safety and healthcare innovation.

PhD Position in Applied Computer Science and Machine Learning for Digital Health and Digital Biomarkers

Designation: PhD Candidate

Research Area:
Digital Health, Machine Learning, Public Safety, Forensic Toxicology

Location:
ETH Zurich, Switzerland

Eligibility/Qualification:

  • A Master’s degree in Computer Science, Information Technology, Information Systems, Statistics, Data Science, Engineering, or a related field.
  • Strong machine learning and programming experience across frontend, backend, and embedded environments.
  • Excellent conceptual and communication skills, particularly in presenting research findings to diverse audiences.
  • Ability to work collaboratively in an interdisciplinary team.
  • Strong organizational skills, attention to detail, and ability to work independently.
  • Proficiency in English and German (C1/C2, written and spoken) is mandatory.

Job Description:
The candidate will:

  • Contribute to the design, implementation, and evaluation of a cannabis-impaired driving detection and prevention system.
  • Conduct real-world studies involving subjects under the influence of cannabis.
  • Develop and evaluate a robust cannabis-driving detection model.
  • Engage with a collaborative team of researchers and contribute to a scalable digital biomarker platform.
  • Manage data gathering, vehicle systems, medical devices, and ML development.

How to Apply:
Interested candidates should submit their applications through the online application portal, including the following documents:

  • CV (mandatory)
  • Transcripts (mandatory)
  • Motivation letter (mandatory)
  • Written references from previous supervisors (optional)

Last Date to Apply:
Applications will be reviewed on a rolling basis until a suitable candidate is identified. Candidates are encouraged to apply as soon as possible.

For questions regarding the position, please contact Prof. Dr. Felix Wortmann at felix.wortmann@unisg.ch.

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