Teaching staff
Our teaching staff
Department of Chemistry and Materials Science
World-class research with high impact
The Department of Chemistry and Materials Science focuses on micro-, nano- and atomic scale engineering of compounds and materials. Our work in these areas encompasses synthesis, characterization and computational research.
Department's administration
Research
The research in the department focuses on advanced and functional materials, chemical synthesis, energy storage and conversion, as well as, molecular and materials modelling. Our teaching provides students a solid background for these topics.
Teaching
Our teaching
We are educating chemical engineers for the sustainable future.
We are catalysts of change, an attractive educator, and a forerunner in chemical engineering education. We educate experts who will develop breakthrough technologies in the changing world of energy transition, climate change, and limited material resources.
Pedagogical research
In addition to high-quality teaching, the Department of Chemistry and Materials science conducts cutting-edge pedagogical research. Specifically, we develop innovative and effective approaches to improve the learning and well-being of students.
Are you interested in studying at the School of Chemical Engineering? Here are our Chemistry and Material Science programmes:
- Bachelor's Programmes at the School of Chemical Engineering:
- Master's Programmes at the School of Chemical Engineering:
- Joint international Master's Programmes:
See all our school's programmes
- Doctoral studies: Aalto Doctoral Programme in Chemical Engineering
News
Maarit Karppinen appointed Academician of Science
Fundamental research into new materials is at the heart of Karppinen’s work. What she is most proud of is her students, whose expertise benefits companies and society.
Turning bobbin lace into shape-shifting textiles
Researchers have developed textile structures based on bobbin lace making that can change their shape in response to changes in their environment. The research combines a traditional handicraft technique with active materials and computer modelling.
Decoding the chemistry of space with machine learning
Astronomers can detect complex chemical fingerprints in stardust – but many of them remain unidentified. The SpaceML project combines machine learning and computational chemistry to simulate how molecules form and evolve in space, helping researchers decode these signals.
