Associate Professor of Computational Thinking Department of Computer Science (and Department of Science Education) Faculty of Science

Deadline to apply : 2 August 2020,

The University of Copenhagen’s newly established Center for Digital Education is seeking an associate professor (a permanent position) to help develop the Center’s profile in computational thinking research. The position description can be found here and at the bottom of this email. 

University of Copenhagen is a highly ranked university situated in a very livable city. The Center for Digital Education was launched in January as a joint effort between the Department of Science Education and the Department of Computer Science, with the specific aim of fostering interaction between the technical and pedagogical aspects of digital education. 

The deadline to apply is 2 August 2020, and inquiries about the position can be made either to the Director of the Center for Digital Education, Morten Misfeldt (, or to the head of the Department of Computer Science Mads Nielsen (

211-0236/20-2E Associate Professor of Computational Thinking
Associate Professor of Computational Thinking
Department of Computer Science (and Department of Science Education)
Faculty of Science
University of Copenhagen
Department of Computer Science, University of Copenhagen is seeking candidates for an associate professorship in Computational Thinking to contribute to a recently established Center for Digital Education.
Computational Thinking is a transdisciplinary research area that combines technological and didactical research about digital competencies, problems solving and design, as well as computer science education. Research approaches include development of educational initiatives supported by technological solutions that aim at developing computational thinking for students, as well as research programs investigating possibilities and challenges with such initiatives.
The Associate professor’s duties will primarily include research, including obligations with regard to publication/scientific communication and research-based teaching with associated examination obligations, within Computational thinking. Furthermore, the associate professor is expected to actively take part in building the Center for Digital Education as a strong axis between digital competencies, learning analytics, machine learning and pedagogy.
The Associate professor should have an academic standing showing internationally competitive research and funding abilities, and is expected to take active part in developing both the intellectual approach of the Center for Digital Education, as well as its funding portfolio.
Applicants are required to have university level teaching experience, documented teaching competencies and must be able to explain and reflect upon own teaching practice and portfolio. Formal pedagogical training or supervision equivalent to the University of Copenhagen teacher training programme for assistant professors is required.
Duties include the applicant’s own research, development of the field, assessment tasks, grant applications, and research management such as supervision and training of research fellows and other staff. The successful applicant must also teach, supervise, prepare and participate in examinations, and fulfill other tasks requested by the Department.
Assessment of applicants will primarily consider their level of documented, original scientific production at an international level, including contributions to developments in their field, as well as their documented teaching qualifications. Managerial and out-reach qualifications of applicants including ability to attract external funding will also be considered.
The position is affiliated with the Center for Digital Education which is a joint effort between Department of Science Education and Department of Computer Science, which aims at connecting experts from computer science and science education to explore the possibilities and consequences of the digitalization of STEM education across the school system. The associate professor will join the Machine Learning Section at the Department of Computer Science and the Center for Digital Education. The activities of the Machine Learning Section range from research into the theoretical foundations of machine learning to applications within a broad set of domains, including natural language processing, information retrieval, medical image analysis and modelling of biological data. The Associate Professor will be employed at the Department of Computer Science but the obligations related to the position will be shared among the Department of Computer Science and the Department of Science Education. 
Further information on the Department is linked at Inquiries about the position can be made to Professor Morten Misfeldt ( and Head of Department of Computer Science, Professor Mads Nielsen (
The position is open from 1 January 2021 or as soon as possible thereafter.
The University wishes our staff to reflect the diversity of society and thus welcomes applications from all qualified candidates regardless of personal background.
Terms of employment
The position is covered by the Memorandum on Job Structure for Academic Staff.
Terms of appointment and payment accord to the agreement between the Ministry of Finance and The Danish Confederation of Professional Associations on Academics in the State.
For Assoc. Professor – up to DKK 481.751 including annual supplement (+ pension up to DKK 82.379)
The application including all attachments must be in English and submitted electronically by clicking APPLY NOW below.
Please include
  • Curriculum vitae including information about external funding
  • Diplomas (Master and PhD degree or equivalent)
  • Research plan – description of current and future research plans
  • Description and documentation of teaching experience and qualifications according to university guidelines
  • Complete publication list
  • Separate reprints of 5 particularly relevant papers
The deadline for applications is Sunday 2 August 2020, 23:59 GMT +2.
After the expiry of the deadline for applications, the authorized recruitment manager selects applicants for assessment on the advice of the Interview Committee.
You can read about the recruitment process at
Interviews/trial lectures will be held on 6 November 2020
Please refer to the following no. in future communication in this case: 211-0236/20-2E.

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