Tenure Track Assistant Professor in Digital Health

1 month ago


Copenhagen, Copenhagen, Denmark Københavns Universitet (KU) Full time

Join our esteemed faculty at the University of Copenhagen

We are seeking a highly qualified individual to fill a tenure-track assistant professor position in Digital Health at the Department of Computer Science. As a member of our team, you will contribute to the development of innovative research and teaching programs in Digital Health, with a focus on artificial intelligence, patient-centered digital health, clinical decision support, and hospital and clinical information systems.

About the Department of Computer Science

The Department of Computer Science at the University of Copenhagen is a leading institution in the field, with a strong research profile and a commitment to excellence in teaching and research. Our department is part of the Faculty of Science, which is one of the largest and most prestigious faculties in Denmark.

Research Opportunities

As a tenure-track assistant professor in Digital Health, you will have the opportunity to conduct research in a variety of areas, including:

  • Artificial intelligence in healthcare
  • Patient-centered digital health
  • Clinical decision support
  • Hospital and clinical information systems
  • IT-infrastructures for healthcare
  • Interoperability, standards, and terminologies
  • Participatory design in healthcare
  • Analysis and implementation processes in Digital Health

Teaching and Supervision

You will be responsible for teaching and supervising students at the undergraduate and graduate levels, as well as contributing to the development of new curricula and programs in Digital Health.

Qualifications

To be considered for this position, you should have a strong background in Digital Health, with a Ph.D. in a relevant field and a track record of research and teaching experience. You should also have excellent communication and interpersonal skills, as well as the ability to work effectively in a team.

Assessment Criteria

The assessment of applicants will be based on the following criteria:

  • Research potential and productivity
  • Teaching and supervision experience
  • Interdisciplinary collaboration and leadership skills
  • Communication and interpersonal skills
  • Adaptability and flexibility

Application Procedure

To apply for this position, please submit your application, including your CV, research statement, teaching philosophy, and contact information for three references. The application deadline is December 1st.



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