PhD fellowship in Learning Analytics and Interaction

Employer
NTNU
Location
Norway
Posted
September 12 2017
Position Type
Full Time
Organization Type
Academia

The Faculty of Information Technology and Electrical Engineering (http://www.ntnu.edu/ie) at the Norwegian University of Science and Technology (NTNU) has a vacancy for one PhD research fellow position in Smart Environments and Analytics for Learning at the Department of Computer and Information Science (http://www.ntnu.edu/idi).


The appointment is for a term of 4 years, with duties equivalent to 25%. This is a researcher training position aimed at providing promising researcher recruits the opportunity of academic development in the form of a doctoral degree.


Information about the department


The Department of Computer Science currently employs 26 full time professors, 3 adjunct professors,41 associate professors, 16 adjunct associate professors, 18 assistant professors, 37 postdocs/researchers, approximate 90 PhD students, and 23 technical/administrative staff. Research activities are organized into groups and strategic European and National projects as documented here http://www.ntnu.edu/idi/research


Work description


The PhD fellow will be a member of the Information Systems and Software Engineering (ISSE - https://www.ntnu.edu/idi/groups/isse) group and will participate in relevant research activities within ongoing projects and initiatives like the Norwegian Research Council funded project, Future Learning (https://www.ntnu.edu/idi/future-learning) and the Centre for Excellent IT Education (https://excit-ed.com/).


The primary aim of the PhD project is to gain a rich and integrated understanding on how multimodal learning analytics (e.g., clickstream interactions, learners' profile, eye-tracking data) can help us to design effective, efficient, attractive and accessible technologies to actively support and enhance learning. For this reason, a successful candidate is expected to perform excellent research within learning technologies, interaction design, data analytics and related areas. The PhD fellow will carry out empirical-oriented research to develop new knowledge in how analytics allow us to advance the design of 21st century learning systems.


The position requires strong English oral and writing skills as the candidate will be interacting with a team of international researcher and the job will include progress reports in English.


If the applicant's studies are not from an English speaking country, the following tests can be used as documentation: TOEFL, IELTS and Cambridge Certificate in Advanced English (CAE) or Cambridge Certificate of Proficiency in English (CPE). Minimum scores are:


  • TOEFL: 600 (paper-based test), 92 (Internet-based test)

  • IELTS: 6.5, with no section lower than 5.5 (only Academic IELTS test accepted)

  • CAE/CPE: grade B or A 

In addition, potential successful candidate will interviewed via Skype or other means. 


Qualifications


  • A master's degree in Computer Science, Informatics, Learning Technologies, HCI or equivalent with very good results is required, with an average grade B or better as measured in ECTS (European Credit Transfer System) grades, or an education at the equivalent level.

  • A solid knowledge of interaction design and learning analytics is essential, and a research-oriented master thesis within one of these or related areas are expected.

  • Web development and data analysis programming skills.

  • Excellent written and oral communication skills.

Additional desired qualifications:


  • Academic publications

Emphasis will be put on personal qualities and potential as a researcher. High importance will also be attached to personal communication and cooperation skills.


For more information and how to apply



This job comes from a partnership with Science Magazine and Euraxess