Associate/Assistant Professor in Digital Learning Technology and Statistics

Technical University of Denmark

Lyngby, Denmark

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Center for Digital Learning Technology, learnT DTU - placed in DTU Compute’s Section for Statistics and Data Analysis - invites applications for an appointment as an Associate or Assistant Professor within Digital Learning Technology and Statistics. The position is permanent and is available from October 1, 2019 or according to mutual agreement.

You can read more about learnT here: www.learnt.dtu.dk

learnT was initiated 2.5 years ago and is dedicated to both using statistics for making learning better and for developing new digital learning technology. The centre is placed in the section for Statistics and Data Analysis which is dedicated to methodological development and applied research within the field of statistics and data analysis. The vision of the Section for Statistics and Data Analysis is to constantly cover as broad a selection of competencies as possible to be able to engage broadly in collaborations within the strategic research areas of DTU and the need of the society. With our close connections to other DTU Compute research sections such as Cognitive Systems, the section stands as a dynamic and substantial player both locally in the Danish statistics arena and internationally.

The aim of the new position is to expand the teaching and research in digital learning technology and statistics.

In the future we have to prepare ourselves for Life Long Learning - not only if we have to create the society but also if we just have to live in it and understand the complexity that we are part of. In learnT we are working with digital learning technology aimed at learning for everybody. We have focus on combining digital technology with what we can do between people in order to make learning efficient, deep and fun. We work with Learning Analytics and Educational Data Mining, create new learning technology and work on topics like motivation, engagement, how to measure learning, evidence, AR, VR, game based learning, design thinking and UX to name a few. As our new colleague you will be a part of our learnT team and together we will further develop the centre.

Therefore, we are looking for you, who is dedicated to making better learning by using statistics and other data analysis techniques for analysing data from digital learning technology and by creating new learning technology together with students and companies.

Responsibilities and tasks

You will have the possibility to actively take part in the promotion, development of and teaching and research in relation to the work in learnT.

Your field of research could include e.g.:

  • Digital Learning Technology
  • Engineering oriented statistics
  • Learning Analytics
  • Educational Data Mining
  • Design Thinking
  • Computational Thinking

You will be invited to participate in one or more existing projects as well as actively applying for funding for new research projects of your own.

Application procedure

To apply, please read the full job advertisement at www.career.dtu.dk

Application deadline: 1 September 2019


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