Business Developer - Artificial Intelligence

Updated: over 2 years ago
Deadline: today

About us

TTT.AI is the RVO-funded Thematic Technology Transfer (TTT) program in AI, in which ten research institutions and the Lumo Labs investment fund have joined forces with a large number of partners. The consortium's ten research institutions are: University of Amsterdam, Amsterdam UMC, Vrije Universiteit, Utrecht University, UMC Utrecht, Radboud University, Radboudumc, Eindhoven University of Technology and the National Research Institute for Mathematics and Computer Science. TTT.AI is primarily focused on the topics of Health Care, Security and Human-Centred AI.

The TTT.AI program is funded by the Ministry of Economic Affairs and Climate Policy and the Ministry of Education Culture and Science.

You will work in the Knowledge Transfer Office (KTO) of one of the following research institutions: IXA/University of Amsterdam, Utrecht Holdings/ University of Utrecht, Radboud Innovation/ Radboud University or at The Gate as part of Eindhoven University of Technology.

The KTO focuses on valorisation by supporting and stimulating researchers to generate economic and social change with their research results. Academics and staff are supported in protecting their inventions and in that framework, grant licenses to external parties. We regularly set up new companies (spin-offs), often with external parties, from our research institution(s). We do all this with a team of business developers, IP specialists, investment managers and lawyers.

Questions

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Job application

The UvA is an equal-opportunity employer. We prioritize diversity and are committed to creating an inclusive environment for everyone. We value a spirit of enquiry and perseverance, provide the space to keep asking questions, and promote a culture of curiosity and creativity.

Do you recognize yourself in the job profile? Then we look forward to receiving your application by 19 September 2021. You can apply online by using the link below. We will not process applications sent by email and/or post.

Applicants should indicate their preference for a placement in Amsterdam, Nijmegen, Utrecht or Eindhoven when applying.

Applications in .pdf should include:

  • a curriculum vitae
  • Motivation letter, including preference for placement in Nijmegen, Eindhoven, Utrecht or Amsterdam and an example of a successful case with knowledge valorisation, with an explanation of the role of the applicant in the process.

Please upload the requested documents as 1 pdf file in the field marked CV in the application form.



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