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:doctoral school

Become the transformer of tomorrow

Explore digital transformation at our doctoral school

Artificial intelligence and the drive towards finding more sustainable solutions are at the core of digital and green transformation worldwide. The rapid development of AI is not only transforming labor markets but also the way we do science.

Integrative and progressive digital-based methods and tools are essential in all scientific fields in order to make the best possible use of the new opportunities offered by digitalisation and artificial intelligence. Our interdisciplinary study programs empower students to collaborate across disciplines and learn computational methods to become the transformers of tomorrow.

doctoral school

Have you developed a strong academic background and want to enhance it with digital skills and a technical background? Our PhD students work intensively with Computational X professors and scientists to develop interdisciplinary solutions expanding the boundaries of knowledge and possibility.


Requirements

PhD candidates have to hand in a proof of completion of a master’s degree in a subject relevant to the respective study program, or in another subject at least at the same higher education level, from a recognized domestic or foreign post-secondary educational institution. To compensate for significant subject-related differences, supplementary examinations may be prescribed and must be taken by the end of the second semester of the PhD program.

title
PhD
duration
8 Semesters
language
English

Start date:
October 01, 2024

Your 4-year path to your PhD

The PhD curriculum at IT:U follows a 4-year path. In the first year, emphasis is placed on focussed research lab modules. 

The first year concludes with the PhD Proposal Presentation. This is followed over 3 years by the development and writing of the PhD thesis. This is accompanied by interdisciplinary research seminars and work as a project assistant. 

The PhD programme concludes after the 4th year with the submission and defence of the PhD thesis.