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Opportunities for Students and researchers

The CLAID project offers various opportunities to contribute and collaborate. We warmly welcome students (bachelor, master) and researchers (doctoral candidates, postdoctoral researchers) to reach out to us to explore the potential for a collaboration within the research domains of mobile AI and digital biomarkers as part of the CLAID project. Check out your appropriate section for theses and visiting researchers below.

In case you are interested and think our research directions are a match for you, please send your unsolicited application (i.e., transcripts and CV) to Patrick Langer planger@ethz.ch (head of CLAID, check Team for more details).

Fyi: We are a research group at ETH Zurich and are part of the Core for AI & Digital Biomarker, Acoustic and Inflammatory Biomarkers (ADAMMA), affiliated with the Centre for Digital Health Interventions. Theses and research stays will be conducted in accordance with ETH regulations.

Semester, Bachelor and Master Theses

The scope of our theses lies at the convergence of artificial intelligence, ubiquitous computing, and clinical research. Theses within the realm of the CLAID project typically fall into one of the following scopes:

  • Thesis scope 1: Integrating and validating digital sensing devices
    • Integrate support for a novel sensing device (i.e., bluetooth peripheral) into CLAID via a novel, open-source CLAID package.
    • Validate data collection stability and quality in a short-term study with a few participants (e.g., 14 days with 10 people)
  • Thesis scope 2: Training and implementing (deployable) machine learning models
    • Use existing datasets (e.g., from our prior studies) to answer clinically relevant research questions and develop novel digital biomarker models using machine learning
    • Make your models deployable in the form of a CLAID package, either by deploying them directly on device or by leveraging CLAID's remote model deployment capabilities
  • Combination or extension of the two scopes above
  • Alternative theses proposals: If you have a strong and highly relevant idea for an own project, and you would like to conduct your thesis with us, please do not hesitate to reach out with your original thesis proposal.

We have a strong application-oriented mindset, which we believe is important in bridging the gap between research and clinical practice. Ideally, your thesis will be written in a paper-style format (no traditional monography, potentially subject to regulations of your home university). In the best case, you will conclude your thesis with a high quality paper which we could submit in collaboration to a journal or conference.

Visiting Researchers

For promising candidates, we might be able to provide opportunities to conduct a research stay at ETH Zurich as a visiting researcher (doctoral or postdoctoral researcher). Please note that we do not provide any funding for visiting researchers.

Required qualifcations for prospective candidates:

  • Master's degree in machine learning, computer science, data analytics, health sciences, information sciences or related field
  • Currently enrolled as a PhD researcher
  • Experience with machine learning frameworks, especially scikit-learn, TensorFlow or PyTorch
  • Experience with TensorFlowLite or CoreML is a plus
  • Experience with time series analysis (for example temporal convolutional models, deep extrinsic regression, ...)
  • Strong programming skills in C++, Dart, Java, Objective-C++ or Swift