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.
