Research infrastructure of the School of Electrical Engineering
On this page, you will find information about the research infrastructures of the School of Electrical Engineering.
Research at the School of Electrical Engineering
The School of Electrical Engineering has three departments and one separate unit.
Solutions for the great challenges of humankind
Here at the School of Electrical Engineering our students and researchers get a chance to roll up their sleeves, because we conduct a lot of applied research in addition to theoretical research. Our investments in first-class facilities and research equipment ensure that our hard work will help society evolve.
We are a very close-knit and international community consisting of people from different backgrounds. Everything we do is for the common good, whether it is greener technology or better solutions for healthcare. Artificial intelligence is closely related to our work, and with the help of new innovations we maintain Finland’s competitive edge in the energy, environment, and healthcare industries.
We have three departments and one separate unit.
Towards a more sustainable future with high-quality research facilities
Tenure track
Aalto University’s tenure track career system offers a well-supported and clear career path for professor-level academics towards a permanent professorship.
Read the news
Ability to harness quantum speed gains now within sight after researchers solve massive simulation problem in a heartbeat
The use of a quantum-inspired algorithm to calculate the unworkably vast potential properties of quantum materials is an early example of how quantum technology can be used to improve itself. The discovery could have future applications in dissipationless technology, for example to mitigate data centre heating.
Record-breaking photonics approach traps light on a chip for millions of cycles
With 'nanoscale surgery' the researchers were able to sculpt delicate van der Waals materials without destroying them, achieving record-breaking performance in the process.
Tired of swiping? Now an AI simulation helps us understand why
Screen logging tells us where smart phone users tap and swipe, but now researchers have developed a musculoskeletal model that helps understand the physical effort that goes into these motions