Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
Engineering and Management (Espoo, Finland) continues to invite applications for: Professor of Practice in Data Economy The Department of Industrial Engineering and Management conducts world-class research and
-
Engineering and Management (Espoo, Finland) invites applications for: Professor of Practice in Data Economy The Department of Industrial Engineering and Management conducts world-class research and provides
-
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
-
personal email address (not aalto.fi) via Aalto University open positions More information Regarding the application process and practical arrangements, please contact HR Advisor Johanna Haapalainen (hr-elec
-
30 Jan 2026 Job Information Organisation/Company AALTO UNIVERSITY Research Field Management sciences Computer science Mathematics Researcher Profile Recognised Researcher (R2) First Stage Researcher
-
23 Jan 2026 Job Information Organisation/Company AALTO UNIVERSITY Research Field Literature Researcher Profile Leading Researcher (R4) Application Deadline 15 Feb 2026 - 00:00 (UTC) Country Finland
-
23 Jan 2026 Job Information Organisation/Company AALTO UNIVERSITY Research Field Environmental science Geosciences Researcher Profile Recognised Researcher (R2) First Stage Researcher (R1
-
transport simulation Travel behaviour and choice modelling Network optimization and algorithmic methods Machine learning and data-driven approaches for mobility analysis, prediction, or decision support
-
recruitment process related questions, please contact hr-elec@aalto.fi , including “Semi-Summer 2026” in the email title. For further information about the summer jobs, please contact the marked professors
-
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