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stability theory, modeling & identification, optimal control, certifiably safe & robust control, and learning for dynamics & control. The main task of the PhD student will be to develop sound data-driven
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for separately, please see: https://www.helsinki.fi/en/research/doctoral-education/the-application-process-in-a-nutshell . For more information on degree requirements and the application process, please visit
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Professor Mika Nissinen, tel.: +358 50 301 4844, email: mika.nissinen@uef.fi . For more information about the application process, please contact HR Specialist Airi Leppänen, tel.: +358 29 445 5171, email
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of Science. Please check the student information and admission criteria at Aalto Doctoral Programme in Science | Aalto University . What we offer We offer a fully funded PhD project for one talented Doctoral
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; Prof. Hamid Reza Godini and Prof. Riikka Puurunen . For more information on the process, please contact HR Team (email: hr-eng@aalto.fi ). Want to know more about us and your future colleagues? You can
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(at)tuni.fi For more information about the recruitment process, please contact: HR-Specialist Anni Zilliacus, anni.zilliacus(at)tuni.fi Application period starts: 2025-10-01 13:10 Application period ends: 2025
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recruitment portal. Further information about the position can be obtained from Tommi Jauhiainen (tommi.jauhiainen(at)helsinki.fi ). Additional information about the recruitment process can be obtained from HR
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learning tools to recommend reaction conditions for the synthesis of novel TRPA1 inhibitors. The project “A machine learning approach to computer assisted drug design” is led by Docent Juri Timonen
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get the possibility to join a top-notch research environment in human-computer interaction and have a strong collaboration with other research groups in Aalto and the EU. You would also be able
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undertake an independent project on Asian nail salons in Helsinki that will lead to a PhD dissertation. The doctoral researcher will participate in the collection and analysis of the empirical materials