Assistant Professor in AI & Medical Image Analysis

Assistant Professor in AI & Medical Image Analysis

UvA - University of Amsterdam

Amsterdam, Netherlands

What you will do

The healthcare domain is full of exciting challenges where AI can make a profound difference - and we are looking for someone eager to take those on. In this role, you will dedicate 50% of your time to groundbreaking research and 50% to high-quality teaching, mentorship, and curriculum development.

Specifically, you will:

Conduct cutting-edge research in AI for healthcare (50%)

  • Conduct high-impact research in AI-driven medical image analysis, computer vision, machine learning, and related fields;
  • Lead and contribute to multidisciplinary projects with clinicians, scientists, and industry partners;
  • Secure funding, publish in leading journals, and present your work at international conferences;
  • Supervise motivated PhD candidates and contribute to the research community.

Shape the next generation of AI talent (50%)

  • Teach engaging courses in AI, machine learning, and medical imaging at the bachelor’s and master’s levels;
  • Innovate in your teaching methods and help shape our curriculum for the future;
  • Mentor students and inspire them to explore complex challenges in AI for healthcare;
  • This balanced division between research and education allows you to grow as a researcher while making a meaningful contribution to the future of AI education at UvA.

What we ask of you

Your experience and profile:

  • A PhD degree in Artificial Intelligence, Computer Science, Engineering or closely related field;
  • excellent research skills, evidenced by a track record of publications in renowned international journals, and contributed and/or invited talks at international conferences/workshops;
  • a strong background, experience and expertise in research in the area of AI and Medical Image Analysis;
  • teaching experience at university level and proven didactic abilities;
  • some experience with the (co-)supervision of BSc, MSc and/or PhD students;
  • excellent oral and written communication skills;
  • ability to contribute to research valorization and to research and teaching outreach activities;
  • capable of multidisciplinary co-operation;
  • has the Dutch Basic Teaching Qualification (UTQ/BKO), or the willingness to acquire this within the first two years;
  • has an excellent command of English and Dutch, Non-Dutch speakers are expected to learn Dutch within two years by passing the state examination for Dutch as a Second Language (NT2), programme II.

Apply NowDeadline 6 February
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Netherlands      Academic      Computing/Programming      Data Science      Maths and Computing      On-site      PhD Required      UvA - University of Amsterdam     

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