-
capable of breakthroughs. The research will mix state of the art numerical skills with analytic understanding. Your task is to predict new classes of materials that have not been considered before, beyond
-
Material science research themes. The role will include designing and standardizing analytical pipelines, quantitative biodegradation assays to validate material-microbe interactions, and tracking polymer
-
generations of research and development professionals, data specialists, technology experts, inventors, and scientists for industry and society. The Macroscopic Quantum Optics (MQO) Group and Quantum
-
information on the available positions, please contact Prof. Tuomas Hytönen and/or Prof. Riikka Korte (riikka.korte@aalto.fi ) . In application process related questions, please contact HR Partner Johanna
-
Postdoctoral Researcher in ML for Dynamical Systems Representation, Prediction, and State-estimation
23 Jan 2026 Job Information Organisation/Company AALTO UNIVERSITY Research Field Computer science Engineering Mathematics Researcher Profile Recognised Researcher (R2) Established Researcher (R3
-
Postdoctoral Researcher in ML for Dynamical Systems Representation, Prediction, and State-estimation
for sequential data modelling, including Physics-informed Machine Learning and Koopman Operator-based representation framework, towards building interpretable predictive models for complex multi-physics dynamical
-
allows the successful applicant to choose a flexible balance between advanced machine learning method development and exciting applications on molecular data, including biomedicine and drug discovery
-
of novel methods and analysis of remote sensing data to monitor water table dynamics and biophysical properties of northern peatlands, from local to Holarctic scales. The position also involves participation
-
period, and reopen the application process. For more information Please contact Associate Professor Annukka Santasalo-Aarnio (annukka.santasalo@aalto.fi ). In questions related to the recruitment system