PhD Position in Explainable AI for Dermatological Clinical Decision Support
Monday 23rd December 2024
Email addressalvaro.gonzalezjimenez@unibas.ch
Contact Email for the Job Positingmarc.pouly@hslu.ch
OrganizationLucerne School of Computer Science and Information Technology
LocationSwitzerland
TitlePhD Position in Explainable AI for Dermatological Clinical Decision Support
URLhttps://www.hslu-jobs.ch/offene-stellen/phd-position-in-explainable-ai-for-dermatological-clinical-decision-support/065388e9-f152-428c-9360-b027cdf103f4
Closing dateJan 31, 2025
DescriptionThe PhD position in Explainable AI for Dermatological Clinical Decision Support offers a unique opportunity to contribute to innovative research at the intersection of artificial intelligence and clinical dermatology. The position focuses on developing AI-driven systems that support dermatological care while ensuring transparency and trust through Explainable AI (XAI). The successful candidate will curate large-scale dermatological image datasets, design and implement decision support systems, and conduct multi-centric clinical evaluations. This interdisciplinary project, a collaboration between the Lucerne University of Applied Sciences and Arts, the University Hospital of Basel, and the University of Basel, offers the opportunity to work at the forefront of AI and healthcare research.
| Email address | alvaro.gonzalezjimenez@unibas.ch |
|---|---|
| Contact Email for the Job Positing | marc.pouly@hslu.ch |
| Organization | Lucerne School of Computer Science and Information Technology |
| Location | Switzerland |
| Title | PhD Position in Explainable AI for Dermatological Clinical Decision Support |
| URL | https://www.hslu-jobs.ch/offene-stellen/phd-position-in-explainable-ai-for-dermatological-clinical-decision-support/065388e9-f152-428c-9360-b027cdf103f4 |
| Closing date | Jan 31, 2025 |
| Description | The PhD position in Explainable AI for Dermatological Clinical Decision Support offers a unique opportunity to contribute to innovative research at the intersection of artificial intelligence and clinical dermatology. The position focuses on developing AI-driven systems that support dermatological care while ensuring transparency and trust through Explainable AI (XAI). The successful candidate will curate large-scale dermatological image datasets, design and implement decision support systems, and conduct multi-centric clinical evaluations. This interdisciplinary project, a collaboration between the Lucerne University of Applied Sciences and Arts, the University Hospital of Basel, and the University of Basel, offers the opportunity to work at the forefront of AI and healthcare research. |