PhD Position in Explainable AI for Dermatological Clinical Decision Support

vor 18 Stunden

Luzern, Schweiz Hochschule Luzern Vollzeit
PhD Position in Explainable AI for Dermatological Clinical Decision Support

The largest educational institution of the six Central Swiss cantons, the Lucerne University of Applied Sciences and Arts offers state-of-the-art jobs and programmes. We share knowledge in Switzerland and abroad, we are forward-looking, creative, and committed to interdisciplinarity. Help us to shape and become a part of our shared, sustainable future.

The Lucerne School of Computer Science and Information Technology is the country's first department at a university of applied sciences dedicated to computer science. We offer bachelor's and master's programs whose graduates are highly sought-after in the business and science communities, state-of-the-art continuing and executive education programs, applied research into cutting-edge topics, and services of high practical relevance.

We are seeking a highly motivated PhD candidate to join our interdisciplinary research team at the intersection of artificial intelligence and clinical dermatology. Our goal is to develop and evaluate novel AI-driven approaches to support and enhance dermatological care, while ensuring that clinicians can understand and trust these systems. The project is a collaboration between the Lucerne University of Applied Sciences and Arts, the University Hospital of Basel, and the University of Basel.

100 -100 %

Tasks and job requirements

  • Curate large-scale dermatological image collections for visual representation learning addressing issues of data quality, diversity, and clinical relevance
  • Interpret clinical concepts with visual representations
  • Develop XAI decision support systems
  • Design and conduct multi-centric clinical evaluations

Your profile

  • A Master's degree in Computer Science, Biomedical Engineering, or a closely related field, with excellent academic credentials
  • Strong background in machine learning and computer vision. Previous experience with XAI, self-supervised learning, multimodal models, diffusion models, or hyperbolic learning is an advantage
  • Experience working with medical data and/or healthcare projects is highly desired. Previous exposure to dermatology or other clinical fields is a plus
  • Advanced programming skills, including experience in writing efficient and clean code, and familiarity with modern AI frameworks
  • Ability to handle complex datasets, from preprocessing to model training and evaluation
  • Excellent communication and collaboration skills. Willingness to work in an interdisciplinary team, interacting with clinicians, and fellow researchers
  • Proficiency in English (oral and written); knowledge of other languages, in particular German, is an asset

Our offer to you

  • An opportunity to pursue a PhD in a cutting-edge, multidisciplinary research environment
  • Close collaboration with clinical and research partners in dermatology and AI
  • Flexible working conditions with a focus on achieving research excellence and personal growth
  • Participation in conferences, workshops, and seminars
  • A supportive environment that focus on publications in top-tier journals and conferences, and the transfer of knowledge to clinical practice

Please submit the following documents:

  • Curriculum Vitae (including relevant coursework, publications, and programming experience)
  • Academic transcripts (with English translation if necessary)
  • Cover letter highlighting your motivation, research interests, and relevant experience
  • Sample writing e.g., Master's thesis, scientific article, or project report
  • Sample coding e.g., GitHub repository
  • Email address and phone number for at least two contacts available to provide references

If you are excited about bridging the gap between state-of-the-art AI and clinical decision-making, and you have the background and ambition to contribute to this innovative research, we look forward to receiving your application.

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