Lund University, Faculty of Engineering,Electrical and Information Technology announces an open doctoral student position.
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 federated and decentralized machine learning algorithms for IoT systems and privacy concerns related to personal data and machine learning.
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%).
The Doctoral student will work within the area of federated 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 federated learning on IoT devices. An important part of the student’s work will be to develop the theoretical foundation of federated 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.