The 2023 edition brings novelties!
In addition to the already existing MSc Thesis Award, which grants bright, technological ideas based on MSc thesis, a new category is now available: The Student Award. This category will award the student with the most promising idea with a scholarship and mentoring from our research team.
You no longer need to wait until you complete your thesis. From the moment you enroll in a Master course, you may apply to the Fraunhofer Portugal Challenge idea contest!
Application period, for both categories, will begin in June and will end on the 31st of July 2023.
Stay tuned for more detailed information.




See the highlights of the Closing Events over the years.


Previous editions


Get to know all the previous winners and the themes of their theses, as well as the jury panels since the 1st edition, back in 2010.


Success beyond the Challenge


We catch up with some past edition participants who have gone on to do great things since participating.


In the Press


Read what is being said in the press about us and the participants.

13th edition

PhD winners of 2022






(The 1st Prize was not awarded)

2nd prize

Catarina Sousa


Institution: NOVA School of Science and Technology

Thesis: “Bioremediation of agro-industrial effluents mediated by microalgae”

2nd prize

Inês Cunha


Institution: NOVA School of Science and Technology

Thesis: “Finding Inspiration in Nature Towards Sustainable Development”

3rd prize

Sirazul Haque


Institution: NOVA School of Science and Technology

Thesis: “Optically thick but electrically thin solar cells: For portable and flexible electronic applications”

13th edition

MSc winners of 2022

1st prize

Giovanna Calvão


Institution: UTAD

Thesis: "Fluorescence-based biosensor for detection and quantification of Colletotrichum acutatum in infected olives"

2nd prize

Bárbara Tavares


Institution: IST – Universidade de Lisboa

Thesis: “A Cluster-Based Trip Prediction Graph Neural Network for Bike Sharing Systems”

3rd prize

Leandro Rodrigues


Institution: FCUP

Thesis: “Leveraging vegetables production with Robotics, Artificial Intelligence and Computer Vision”