Interdisciplinary Transformation University Austria
PhD in Digital Transformation in Learning
Linz, Austria
PhD
DURATION
4 years
LANGUAGES
English
PACE
Full time
APPLICATION DEADLINE
EARLIEST START DATE
TUITION FEES
EUR 26 / per semester **
STUDY FORMAT
On-Campus
* Unfortunately, the application deadline has now passed, and we are no longer accepting applications for this cycle. We encourage you to apply again next year! Keep an eye out for more information about future application calls to be published on our website in the coming months.
** all students are tuition-free but are obligated to pay the Austrian student union fee of €26.20
Key Summary
In the PhD program for “Digital Transformation in Learning,” we develop intelligent technologies for active and project-based learning in collaboration with the PhD students, researchers, and professionals within our network. For example, we research technology-enhanced learning in terms of the social dynamics in interdisciplinary projects, the coordination of individual and collaborative learning, the integration of learning and regulation, the role of intelligent educational technologies in the learning process, and the role of emotions and well-being. Understanding these processes of active learning goes hand in hand with the design of effective learning practices within inclusive, transparent, and fair technology-enhanced learning environments. This way, we can transform how we learn and work to address societal and industrial challenges.
What you can expect
We value your work! You will be employed at IT:U during your entire PhD. We offer a gross salary in line with the market rate of EUR 3.714,80 on a 40-hour full-time basis. Our employees also benefit from a free Austria Climate Ticket, which covers all modes of public transportation. And of course, your coffee and snacks are on us.
To qualify for the PhD program, you must have completed a degree equivalent to a master’s degree in a field related to your desired project.
Your academic background can vary – from psychology to computer science to medicine, for example – but a strong interest in active learning and technology-driven solutions is essential.
We are looking for curious minds eager to acquire skills in computational methods and intelligent learning systems. A willingness to engage with the intersection of learning and technology, along with fluent English communication and academic writing skills, is key to succeeding in this interdisciplinary research environment.
1-2 Semester:
Core Module: Learning Transformation
Compulsory Courses
- Project Management and Project-based Learning
- Digital Learning Project
Elective Courses A
- Introduction to Computing
- Introduction to Digital Learning
Elective Courses B
- Introduction to Data Science and Statistics
- Engaging Learning Technologies
- Eye-tracking and Visual Analytics
Elective Courses C
- Introduction to Machine Learning
- Making and Prototyping
- Learning Psychology and AI Literacy
Project Module: Research Methodology Project
Compulsory Courses
- Research Methodology
- Scientific Writing and Research Integrity
- Research Methodology Project
Elective Courses D
- XR Technologies Fundamentals and Applications
- Research Ethics
- Innovate and Transform
3-8 Semester:
Research Lab Module: Research Lab Immersion 1
Research Lab Module: Research Lab Immersion 2
Research Lab Module: Research Lab Immersion 3
Module: Interdisciplinary Research Seminar Series
Module: PhD Thesis
You are up! We expect you to acquire new knowledge and skills (e.g. learning psychology, computational thinking, and programming) within our projects and learning labs to independently conduct interdisciplinary research.
Find out more about our PhD program on our website!