PhD Student: Explainable Multimodal AI for Healthcare 100%

vor 2 Wochen

Stäfa, Schweiz ZHAW Vollzeit

School:

School of Engineering

Starting date:

July 1st 2025 or by appointment

Your role

  • Join the Explainable AI research group at the ZHAW Centre for Artificial Intelligence as a fully funded PhD student, working on an interdisciplinary research project focused on explainable multimodal AI methodologies for healthcare.
  • Earn your PhD degree through the collaborative program with the University of Zurich.
  • Make significant contributions to scientifically challenging applied research projects developing innovative explainable multimodal AI approaches for early diagnosis of multiple chronic diseases.
  • Develop high-quality, innovative AI solutions that effectively leverage multimodal medical data to improve early diagnosis of complex chronic diseases affecting large populations.
  • Create cutting-edge methodologies ensuring transparency in the developed multimodal AI approaches.
  • Perform comprehensive experimental evaluations in collaboration with domain experts to assess and analyze the performance of your developed approaches.
  • Drive the adaptation, evaluation, and integration of the developed methodology into a real-world clinical use case at University Hospital Zurich in close collaboration with domain experts.
  • Disseminate your research findings through publications and presentations in peer-reviewed journals and conferences.
  • Provide occasional teaching support to lecturers.

Your profile

  • A recent, very good Master's degree in computer science, data science, or a related technical/scientific field, with a focus on machine learning and artificial intelligence.
  • A strong interest in multimodal AI and AI explainability for healthcare transformation, with prior experience in these domains being advantageous.
  • Proficiency in software development (ideally Python) and familiarity with deep learning frameworks and tools like PyTorch.
  • Possess strong intrinsic motivation, creative problem-solving abilities for complex challenges, meticulous and dependable work habits, and capability to function effectively both independently and collaboratively within international, interdisciplinary teams.
  • Excellent English language skills, with certified proficiency at minimum B2 level.

In exchange, we provide the opportunity to dive into cutting-edge AI methodology to address open research challenges in healthcare with substantial practical impact while completing a PhD dissertation from University of Zurich.

We are looking for a deeply interested, technically skilled personality. We value potential over already mastered skills, encouraging also unconventional CVs, e.g., interdisciplinary experience or an academic background from an applied sciences institution ("Fachhochschule"). Please honor us with a tailored cover letter and highlight facts that underline your ability to achieve high. We are looking forward to hearing from you

This is what we stand for

Zurich University of Applied Sciences ZHAW is one of Switzerland's largest multidisciplinary universities of applied sciences, with over 14,000 students and 3,400 faculty and staff.

The School of Engineering (SoE), as one of the leading educational and research institutions in Switzerland, focuses on topics relevant to the future. 14 institutes and centres guarantee high-quality education, research, and development with a focus on the areas of energy, mobility, information, and health.

The Centre for Artificial Intelligence (CAI) maintains a growing number of research groups in the fields of Natural Language Processing and Computer Vision, Perception and Cognition, Autonomous Learning Systems, Trustworthy AI, and AI Engineering. The CAI conducts method-oriented applied research and development at the highest level in the field of machine learning and is committed to a human-centered approach to artificial intelligence, thereby actively shaping the ethical dimension.

ZHAW is committed to gender-mixed and diverse teams in order to promote equality, diversity, and innovation.

What you can expect

We offer working conditions and terms of employment commensurate with higher education institutions and actively promote personal development for staff in leadership and non-leadership positions. A detailed description of advantages and benefits can be found at Working at the ZHAW. The main points are listed below:

Contact

Jasmina Bogojeska
Professor for AI and Machine Learning

Tanja Schmid
Recruiting Manager

#J-18808-Ljbffr

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