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PhD student in Information Systems for Generative AI

'What I particularly love about my job are the super-exciting projects. I'm right at the heart of them and lead them from initialization to implementation.' Priscilla Caliandro

PhD student in Information Systems for Generative AI

80 - 100%
Limited for 3 years
Bern
Start per March 1, 2025 or by arrangement
Homeoffice possible
To start with, here are some of our strong points
  • An almost unbelievably large variety of themes and topics and a great mix of research and teaching.
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  • Plenty of contact with eager young people from all over the world who are set on achieving things.
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  • Responsibility in hugely exciting projects for the future attracting attention beyond the professional world.
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  • An informal, relaxed yet respectful togetherness with a great deal of helpfulness.
And here are even more good reasons to opt for BFH
What you'll be doing here
  • Assisting innovative research projects in the field of generative AI: use of e.g. multi-agent systems and advanced prompting technology.
  • Design of intelligent educational technologies: Development and conceptualization of innovative tools that facilitate and enhance personalized and adaptive learning.
  • interdisciplinary collaboration: Cooperation with leading researchers from renowned universities such as Cambridge, UPenn, and CMU in computer science, education, and management.
  • Application-oriented research and field studies: conducting data-driven studies and experiments in collaboration with start-ups to develop impactful solutions.
  • Scientific dissemination and academic commitment: publication in renowned scientific journals, presentations at international conferences as well as supervision and teaching in the context of projects and lectures.
What you'll bring with you
  • Completed university master's degree in information systems, industrial engineering, technical business administration, human-computer interaction, or a comparable field.
  • Strong interest in interdisciplinary research and the domain of education (teaching and learning).
  • First experience in the planning and realisation of (research) projects.
  • Excellent communication skills and the ability to work in a multidisciplinary team.
  • Fluency in English (German desirable).
Apply now
Business School

In the Business School, we offer an education with a clear practical emphasis for the digital change-makers of the future in the economy and society. Content we love to engage with includes topics such as New Work, digital business or public sector transformation.

Doing something meaningful in a fascinating environment and with an outlook to the future: a job at Bern University of Applied Sciencesmakes perfect sense.

Place of work
I’ll be your guide through the application procedure
Cédric Schmid
HR Berater
P +41 31 848 67 69
LinkedIn
Contact
For job-specific queries
Roman Rietsche
Dozent
P +41 31 848 66 36
Contact
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Application deadline 15.02.2025
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