PhD Position in Differential Diagnostics for Dermatology with Machine Learning
University of Basel School of Computer Science and Information Technology
Switzerland

PhD Position in Differential Diagnostics for Dermatology with Machine Learning

100%

We are seeking a PhD candidate to join our research team with immediate effect or by mutual agreement for a collaboration project on medical image analysis between the University Hospital of Basel, the University of Basel and the Lucerne University of Applied Sciences and Arts – School of Computer Science and Information Technology.

Your position

  • You conduct state-of-the-art research in machine learning for medical image and text analysis together with the three research teams involved
  • You actively support our machine learning projects in other domains by developing implementation concepts and solution proposals for our industrial partners
  • You support our research team in proposal writing and the acquisition of new research projects
  • Active involvement in teaching or supervision of student projects at Bachelor and Master level possible according to agreement

Your profile

  • Master's degree in Computer Science or Mathematics
  • Experience in machine learning and data science projects
  • Knowledge in computer vision and natural language processing is an advantage
  • Good analytical and conceptual skills and motivation to bring innovative systems to industrial maturity. This requires good programming competences especially in Python
  • You are fluent in English and possess at least elementary knowledge of German. We expect willingness to learn German
  • Readiness to travel between the labs in Basel and Rotkreuz

We offer you

  • Interesting and challenging job with high degree of self-responsibility in a professional environment with flexible working hours
  • Open-minded and dynamic corporate culture with a view towards achieving results
Application / Contact

For any further Information please contact
alexander.navarini@unibas.ch

www.unibas.ch
 


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