School of Engineering Sciences
The School of Engineering Sciences is located at KTH Campus at Valhallavägen, AlbaNova University Center in Roslagstull and Science For Life Laboratory in Solna. Our activities include physics, mathematics and engineering mechanics.
Our research covers almost everything from basic mathematics to applied mechanics. We work with basic research both theoretically and experimentally in almost all areas, often in collaboration with international universities, colleges, research institutes and industry.
Departments
Latest News from SCI
More news
- Pär Olsson Appointed Knight of the Order of Academic Palms
20 Nov 2025
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19 Nov 2025
- Quantum communication could become the superpower of the future
15 Oct 2025
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10 Oct 2025
- RELAX opens the door to large-scale research
7 Oct 2025
Calendar
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Public defences of doctoral theses
Thursday 2025-12-18, 09:00
Location: Lindstedtsvägen 26
Video link: https://kth-se.zoom.us/j/64470725679
Doctoral student: Louise Rosenblad , Material- och strukturmekanik
2025-12-18T09:00:00.000+01:00 2025-12-18T09:00:00.000+01:00 On the Mechanics of Sintering of Hardmetal Powders (Public defences of doctoral theses) Lindstedtsvägen 26 (KTH, Stockholm, Sweden)On the Mechanics of Sintering of Hardmetal Powders (Public defences of doctoral theses) -
Public defences of doctoral theses
Friday 2025-12-19, 10:00
Location: F3 (Flodis), Lindstedtsvägen 26 & 28, Stockholm
Video link: https://kth-se.zoom.us/j/67637947676
Doctoral student: Aldo Terán Espinoza , Flyg- och rymdteknik, marina system och rörelsemekanik, Underwater Robotics
2025-12-19T10:00:00.000+01:00 2025-12-19T10:00:00.000+01:00 Relative Navigation for Autonomous Underwater Proximity Operations (Public defences of doctoral theses) F3 (Flodis), Lindstedtsvägen 26 & 28, Stockholm (KTH, Stockholm, Sweden)Relative Navigation for Autonomous Underwater Proximity Operations (Public defences of doctoral theses) -
Public defences of doctoral theses
Friday 2026-01-16, 10:00
Location: FB51, Roslagstullsbacken 21, Stockholm
Doctoral student: Karim Hossny , Kärnvetenskap och kärnteknik
2026-01-16T10:00:00.000+01:00 2026-01-16T10:00:00.000+01:00 Decision Tree Insights Analytics (DTIA): An Explainable AI Framework for Severe Accident Analysis (Public defences of doctoral theses) FB51, Roslagstullsbacken 21, Stockholm (KTH, Stockholm, Sweden)Decision Tree Insights Analytics (DTIA): An Explainable AI Framework for Severe Accident Analysis (Public defences of doctoral theses)