The Faculty of Electrical Engineering, Mathematics & Computer Science invites applications to the above-stated position (Assistant Professor – Digital Assessment and Learning Analytics, Delft University of Technology).
Assessment is one of the most important and rapidly changing fields in digital education. Research into data-driven user modelling, adaptive systems, and personalized assessment builds on recent developments in AI technologies. This enables future scenarios for human-machine cooperation on hybrid performance assessment and also supports educators in assessment. Applications are currently developed in fields from mathematics education, programming education, writing assessment as multi-modal behavior analysis.
Duration: 6 years.
Vacancies
As assistant professor candidate will perform the following task
- work with an enthusiastic team and the networks of the Dutch 4TU federation as also the Leiden-Delft-Erasmus partnership.
- Conduct high quality research and education in digital education and data science.
- work in national and international highly visible research groups and networks and enthusiastic teams in different faculties working on research for strengthening and applying latest innovation in teaching and learning for students and educators.
Salary
- The Job offer Salary and benefits are in accordance with the Collective Labor Agreement for Dutch Universities.
- a customizable compensation package,
- a discount on health insurance and sport memberships, and a monthly work costs contribution.
- Coming to Delft Service and Partner Career Advice service are given to assist international applicants with their relocation.
- An International Children’s Center offers childcare and international primary school.
Job Requirements
Qualified candidates are to meet the following requirements
- A solid background in AI, machine learning, software engineering and data science, interdisciplinary project experience
- Research expertise in the topics of machine learning, sensor-based interaction and assessment in educational technologies
- Experience and publications in relevant fields of data science and learning science, learning analytics, computer-based assessment
- Education experience in data science, machine learning, computer-based assessment or comparable
- An interest to develop and teach modules in learning analytics and assessment and an interest in working with BSc and MSc level student of different disciplines on research and software development projects
- Strong social skills including listening, conflict resolution, coaching, inclusivity, support and experience in coaching student groups as also MSc thesis
- An enthusiastic team player, curious about new forms of education and assessment
- Postdoc experience and PhD co-supervision is a plus.
Application Process
The application should include the following attachments:
- An application letter
- resume
- A research statement
- Teaching statement
- A diversity statement
- Names of two referees
To apply, click here
Application Deadline: September 30, 2021
For more information, visit the official site.
