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The Department of Electrical and Information Technology at Lund University conducts high-quality research in a variety of areas in electrical engineering, ranging from pure theoretical research to applied projects in close collaboration with industry. It is at the forefront of international research in most of its areas. The Department of Electrical and Information Technology consists of about 100 active researchers, focusing on several research domains, including Secure and Networked Systems, Communications Engineering, Integrated Electronic Systems, Electromagnetics and Nanoelectronics, as well as Intelligent Systems and Machine Learning.

They are now looking for a new Doctoral student for work in a WASP-financed project.

 

Subject and project description

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 these domains creates many new opportunities, but also involves several major challenges, e.g., complexity of machine learning algorithms and reliability and trust in the decisions made by machine learning algorithms.

Work duties

You will primarily devote yourself to your doctoral programme, which includes participation in research projects as well as third cycle courses, seminars and conferences.

You will work within the area of machine learning for IoT-systems to tackle the main challenges in the machine learning domain, e.g., complexity of machine learning algorithms, reliability, and trust. An important part of your work will be to develop the theoretical foundation of trustworthy machine learning and new algorithms to address the challenges within the subject area of this position. You will also be given the opportunity to validate these solutions with experiments and simulations.

The duties also include participation in teaching and other departmental work (however, a maximum of 20% of working hours).

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