Classification and transition analysis using kinetic modelling

This internship explores methods for extracting meaningful information from complex physical data. The student will investigate state-based representations of temporal signals to identify patterns, operating regimes, and behavioral changes. The work includes data analysis, visualization, statistical modeling, and evaluation on real-world datasets. Applications may include anomaly detection, condition monitoring, and predictive analytics in system reliability. The project offers hands-on experience in Python, machine learning, and dynamical data analysis. Type of internship : Master internship Duration : 3 months (90 days) Required educational background : Electrotechnics/Electrical Engineering, Physics, Materials Engineering, Mechanical Engineering University promotor : Houman Zahedmanesh (KU Leuven) Supervising scientist(s) : For further information or for application, please contact Houman Zahedmanesh ( Houman.Zahedmanesh@imec.be ) The reference code for this position is 2026-INT-244 . Mention this reference code in your application. Imec allowance will be provided for students studying at a non-Belgian university. Applications should include the following information: resume motivation current study Incomplete applications will not be considered