The proliferation of Internet-connected and sensor-enabled technologies, including autonomous vehicles, wearables, smartphones, and other IoT devices, has resulted in distributed systems that generate vast quantities of data with a high velocity and volume. This abundance of data presents compelling opportunities for deep learning to solve a diverse array of complex tasks and challenges. The emerging field of federated learning investigates methods to leverage the wealth of data distributed across heterogeneous edge devices to collaboratively train models at scale. Though, there remain open research challenges regarding ensuring data privacy, non-stationary distributions, concept drift, scaling algorithms to large numbers of resource-constrained devices, and practical deployment considerations given real-world requirements.
To this end, we seek an excellent and highly motivated candidate for a Ph.D. position in the area of federated learning with a focus on developing data-centric approaches. The research topics include, but are not restricted to: dealing with multimodality, handling unlabelled data, incorporating human agency, ensuring fairness, adaptive personalization, robustness, and enhancing user-system interplay. For instance, a potential application area for federated learning is in personal health sensing using wearable devices. The digital devices, such as fitness trackers, smart watches, and other biosensors can continuously capture physiological signals like heart rate, activity levels, sleep, and more. They generate substantial amounts of data on a daily basis for each individual user. Federated learning techniques could enable collaborative training of deep learning models on most relevant data across users without compromising privacy.
This Ph.D. position provides the opportunity to advance the frontier of federated learning and distributed sensing systems. The candidate will be supervised by senior researchers and design experts in the Department of Industrial Design at Eindhoven University of Technology and will contribute to its vibrant research community with connections to interesting lines of research in health, mobility and sustainability.
A meaningful job in a dynamic and ambitious university, in an interdisciplinary setting and within an international network. You will work on a beautiful, green campus within walking distance of the central train station. In addition, we offer you:
About TU/e, Industrial Design and Future Everyday
You will be situated in the Future Everyday group, which investigates the everyday interactions between individual people and the highly interconnected technology that surrounds them. We measure, model, and design for the user experience when individuals interact with social-technological networks in their homes, at work, in transit, while doing sports, or going out.
TU/e is a leading international university specializing in Engineering Science & Technology. With high-quality education and research, TU/e ensures the progress of technical sciences and the development of technological innovations. TU/e is located in a highly industrialized region in the Netherlands, known as the ‘Brainport’. This region is internationally recognized as a top technology area with a special focus on the integration of design and technology. The department of Industrial Design at TU/e is internationally recognized for its scientific research on the design of systems with emerging technologies in a societal context. We excel at the acquisition and execution of projects where “integration of emerging technology into everyday life” and “application of technology in a societal context” play a major role. The Future Everyday research group investigates the everyday interactions between people and the highly interconnected technology that surrounds them.
General information about TU/e and the Industrial Design Department, candidates will find on https://www.tue.nl/en.
Do you recognize yourself in this profile and would you like to know more?
Please contact the hiring manager dr. A. Saeed, assistant professor, email a.saeed[at]tue.nl.
Visit our website for more information about the application process or the conditions of employment. You can also contact HR-services, email HRservices.ID[at]tue.nl or +31 40 247 8827.
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We look forward to receiving your application and will screen it as soon as possible. The vacancy will remain open until the position is filled.