PhD position in applied computer science/ machine learning

PhD position in applied computer science/ machine learning

100%, Zurich, fixed-term

Our research group in the field of Digital Biomarker research (Health Informatics) is looking for a new PhD student starting beginning of 2025. We are located in the Department of Management, Technology, and Economics (MTEC).

Job description

Our research is driven by a strong desire to conquer the great challenges that our changing society poses to the healthcare system. While healthcare in the 20th century focused primarily on acute care, the 21st century requires us to confront the growing complexities of chronic conditions. With the widespread adoption of information and communication technologies, new opportunities have emerged for the prevention and treatment of diseases in everyday life. By harnessing these technologies alongside recent advances in artificial intelligence and statistical modeling, we aim to generate profound insights. Unlike a traditional PhD in Computer Science or Mathematics, our research is highly applied, focusing on tailoring mobile technology and advanced analytics to specific healthcare applications.

Based in the vibrant city of Zurich—one of Europe's most attractive places to live—our work is closely connected to key players and startups in the healthcare sector. You will be part of a dynamic team of motivated young researchers, working in a collaborative and supportive environment. Typically, the duration of a PhD in our group is about three and a half years, with guaranteed funding. We also support participation in conferences and optional exchange programs throughout the course of your study. The salary and general working conditions are internationally highly competitive and according to ETH standards.

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

• Health informatics with a focus on cerebrospinal fluid analysis
• Machine learning / deep learning / artificial intelligence

In addition to conducting cutting-edge research, candidates will be encouraged to explore opportunities for translating their work into entrepreneurial ventures, contributing to the evolving landscape of healthcare innovation.

Profile

Ideally, the candidate has a degree in Electrical Engineering and Information Technology, Statistics, Signal Processing, or Computer Science (or a related field). Also, programming experience is required. Fluency in the English language is highly recommended. Start of employment immediately or by agreement. Candidates will be screened continuously until the position has been filled.

Workplace

Workplace

We offer

• Your career with impact: Become part of ETH Zurich, which not only supports your professional development, but also actively contributes to positive change in society
• We are actively committed to a sustainable and climate-neutral university
• You can expect numerous benefits, such as public transport season tickets and car sharing, a wide range of sports offered by the ASVZ, childcare and attractive pension benefits

We value diversity

Curious? So are we.

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

• CV
• Transcripts
• A cover letter
• Written references from previous supervisors are encouraged

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 Dr. Filipe Barata, email E-Mail schreiben (no applications).

About ETH Zürich

Curious? So are we.

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

• CV
• Transcripts
• A cover letter
• Written references from previous supervisors are encouraged

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 Dr. Filipe Barata, email E-Mail schreiben (no applications).