PhD Position in Explainable AI: The Lucerne University of Applied Sciences and Arts is offering a PhD position focusing on Explainable AI (XAI) for clinical decision support in dermatology. This position aims to develop innovative AI-driven methodologies to enhance dermatological care while ensuring that healthcare professionals can comprehend and rely on these systems.
PhD Position in Explainable AI for Dermatological Clinical Decision Support
Designation
PhD Candidate in Explainable AI for Dermatological Clinical Decision Support
Research Area
- Artificial Intelligence (AI)
- Clinical Dermatology
- Machine Learning and Computer Vision
Location
Lucerne School of Computer Science and Information Technology
Suurstoffi 1
6343 Rotkreuz, Switzerland
Eligibility/Qualification
| Requirement | Details |
|---|---|
| Master’s Degree | In Computer Science, Biomedical Engineering, or a closely related field with excellent credentials. |
| Technical Skills | Strong expertise in machine learning and computer vision; experience with XAI preferred. |
| Medical Data Experience | Previous work with medical data or healthcare projects, particularly in dermatology, is an asset. |
| Programming Skills | Advanced programming abilities, familiarity with modern AI frameworks, efficient coding practices. |
| Dataset Management | Capability to handle complex datasets, including preprocessing, model training, and evaluation. |
| Communication Skills | Excellent collaboration and communication skills; ability to work with clinicians and researchers. |
| Language Proficiency | Proficiency in English; knowledge of German is an advantage. |
Description
The PhD position will involve:
- Curating large-scale dermatological image collections to improve data quality and relevance.
- Interpreting clinical concepts using visual representations.
- Developing Explainable AI decision support systems.
- Designing and conducting multi-centric clinical evaluations.
How to Apply
Interested candidates should submit the following documents:
- Curriculum Vitae (CV) including relevant coursework, publications, and programming experience.
- Academic transcripts, with English translation if necessary.
- A cover letter outlining motivation, research interests, and relevant experience.
- A sample of academic writing (e.g., Master’s thesis, scientific article).
- A sample of coding work (e.g., GitHub repository).
- Contact details for at least two references.
Last Date to Apply
Applications will be accepted until further notice. Interested candidates are encouraged to apply as soon as possible. For inquiries, you may contact Prof. Dr. Marc Pouly via email at marc.pouly@hslu.ch or call +41 41 757 68 25.
This opportunity enables you to contribute to cutting-edge research at the intersection of AI and dermatology while working with esteemed clinical and educational partners. Join us in advancing the future of healthcare!
