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PhD Position Innovation Management for Edge AI at BFH and Politecnico di Turino

'I'm a true BFH fan', says Anna Knutti. 'The whole package is just great. What I really like is how my remit keeps changing. This helps me move forward, both professionally and personally, even after close on ten years'.

PhD Position Innovation Management for Edge AI at BFH and Politecnico di Turino

100%
Limited for 3 years
Bern
Start date January 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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  • Curiosity is what we want, oodles of it. Plus, lots of independence and autonomy.
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  • Responsibility in hugely exciting projects for the future attracting attention beyond the professional world.
And here are even more good reasons to opt for BFH
What you'll be doing here
  • This PhD position is part of 17 openings within the MSCA Doctoral Network "Training and Innovation in Reliable and Efficient Chip Design".
  • You will work on exciting research that studies innovative Edge AI software/hardware solutions design.
  • You will have access to a specialized European PhD training program by leading industry and academic experts.
  • You will develop industry-relevant implementation strategies for Edge AI processes and outcomes that match with values, needs and expectations of society.
  • You will spend secondments with industrial and academic partners. Your PhD-awarding university will be Politecnico di Turino.
What you'll bring with you
  • Master's degree in Business, Management, Entrepreneurship, Applied Psychology, Information Technology, or related fields.
  • A strong passion for and outstanding knowledge of innovation management, technology transfer processes, and research commercialization.
  • Knowledge on qualitative and/or quantitative empirical methods, experiments, econometrics and/or machine learning/AI.
  • The ability to work on real-world problems in an interdisciplinary and internationally oriented environment.
  • Good communication skills and an excellent command of English

Candidates have to submit applications through the BFH and the Consortium Portal. PhD admission will be subject to POLITO requirements.
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
Christian Hopp
Institutsleiter
P +41 31 848 41 28
Contact
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Application deadline 30.09.2024
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