The PhD candidate should have a MSc degree in Electrical or Computer Engineering and will be hired as a doctoral student in the Signal Processing Systems/VCA group for a 4-year period. The candidate should have strong background knowledge in image processing domain and excellent programming skills with some experience in C/C++ and/or the Pytorch environment. More specifically, the candidates should have experience in object detection, tracking and classification. Experience with anomaly detection on large set of data is highly desired. Knowledge of deep learning algorithms is a prerequisite. Candidates should be fluent in English academic writing, should have good communication skills and should be able to cooperate in a multidisciplinary team.