The Interconnected Resource-aware Intelligent Systems cluster at Eindhoven University of Technology has the following three PhD positions on different aspects of Internet of Things and Edge AI.
PhD position 1: AI-driven Internet of Things (IoT) Security
This position is funded by the INTERSECT project, a large Dutch NWO funded project, bringing major academic and industrial organizations involved in IoT security in the Netherlands together. Within this project, we will investigate potential of combination of data-driven and model-driven approaches to detect and mitigate IoT security threats.
PhD position 2: Explainable AI
This position is funded by the Secur-e-Health project, an ITEA funded project. Within this project, we will investigate methods to make AI models and their results more explainable and interpretable for end-users. Specifically, we will look into which parameters and hidden data patterns have led to output of AI models and how application logic/expert knowledge can increase explainability of these models. This project will focus on medical applications and collaborate closely with hospitals and some Dutch medical universities.
PhD position 3: Edge AI
This position we will investigate light-weight, energy-/data- efficient, and self-learning AI and deep learning techniques for Edge devices. Architectural aspects of edge, fog, and cloud computing as well as distribution of learning task and computation will also be investigated.
The successful candidates are expected to:
- perform scientific research in the domains described above
- publish results at high-quality venues
- collaborate with other group and faculty members
- collaborate with academic and industrial partners involved in the projects
- attend project meetings and contribute to deliverables and project outcome
- assist with educational tasks (e.g. practical/lab assignments, co-supervise Master students)
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