Doctoral student position in Electrical Engineering with focus on Machine Learning for IoT Systems at the Faculty of Engineering, Lund University.
Machine learning and artificial intelligence have attracted a lot of attention over the past few decades. Machine learning algorithms have been considered in many application domains, including Internet of Things (IoT) systems. The adoption of machine learning in IoT systems creates several new opportunities, e.g., detection of health abnormalities using wearable devices, but also involves several major challenges, e.g., complexity of machine learning algorithms for IoT systems and privacy concerns related to personal data and machine learning.
The Doctoral student will work within the area of machine learning for IoT systems to tackle one of the main challenges in the machine learning domain. The project is cross-disciplinary between the machine learning and IoT areas, e.g., edge machine learning on IoT devices. An important part of the student’s work will be to develop the theoretical foundation of machine learning and new algorithms to address the challenges within the subject area of this position. The student will also be given the opportunity to validate these solutions with experiments and simulations.
The main duties of doctoral students are to devote themselves to their research studies which includes participating in research projects and third cycle courses. The work duties will also include teaching and other departmental duties (no more than 20%).