Aarhus Universitets segl

Calling All Young Researchers in AI and Data Science with an Interest in Entrepreneurship!

Oplysninger om arrangementet


søndag 22. maj 2022, kl. 09:00 - tirsdag 24. maj 2022, kl. 16:00


Arena @ DTU Skylab, Centrifugevej 374, 2800 Kongens Lyngby


Free DKK

Did you know that only 12-13% of PhDs end up in a tenure track academic career? The good news is that there are other exciting, fulfilling, flexible career paths, which you can shape yourself.

Join the Young Researcher Entrepreneurship Academy (YREA) PhD summer school (2.5 ECTS) to grow your entrepreneurial mindset and learn how that can benefit both your current research and future career. 

The course specifically leverages AI, data science, and computer science in the service of societal and environmental challenges in for instance health-tech, green-tech, manufacturing, and business. The aim is to build entrepreneurial capacity and to increase the establishment of university-based startups.

  • May 22-24 2022 (Sunday - Tuesday)
  • Arena @ DTU Skylab, Centrifugevej 374, 2800 Kongens Lyngby
  • ECTS: 2.5 Points 

The programme

The themes for each of the three days are as follows:

Day 1: Develop your entrepreneurial knowledge, skills, and mindset.

Day 2: Learn how to turn an idea into an enterprise.

Day 3: Build your enterprise - management and negotiation skills.

The programme is co-developed by DTU, DIREC, AI Pioneer Centre, AU, and CBS. 

Target Group

The YREA programme welcomes participants of all genders, e´thnicities, capabilities and religions from a computer/data related discipline, with little or no business experience from any Danish university.

Participants include PhD student, Post-doctoral researchers, Master students and Innovation officers at universities.

What you will learn

By developing your entrepreneurial mindset you will be better able to:

  • Generate research ideas that meet an actual need and validate whether they have the potential to become a viable business. 
  • Grasp the fundamentals of creating a novel startup.
  • Understand the basics of ML Ops as a prerequisite for building an AI startup.
  • Take the steering wheel in your current research and future career.
  • Cultivate innovative thinking and presentation skills.
  • Navigate how to collaborate with tech transfer and innovation officers (e.g. financial planning the intellectual property (IP)).

What is in it for you

  • 2.5 ECTS
  • Insights into ideation, ML Ops, entrepreneurial mindset, testing business ideas, negotiation, etc.
  • Engaging, active learning approaches. 
  • Meet inspiring, like-minded individuals, entrepreneurs, and educators.
  • Access to optional follow-up module in fall 2022 as well as pitching event at Digital Tech Summit October 25th - 26th 2022.
  • This course is free of charge.