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PhD position in the SmartOne KPN-TU/e Flagship in the DLCE project
In the context of the joint research project between TU Eindhoven and KPN we have one 4-year PhD student position in the Data Mining group at the Department of Computer Science, TU/e Eindhoven.
- de Rondom, Eindhoven, Noord-Brabant
- Tijdelijk contract / Tijdelijke opdracht
- Uren per week:
- 38 uur
Development of intelligent applications running advanced machine learning models on the edge of the network such as mobile, smart home, internet-of-things platforms require connectivity and computing resources. As the complexity of the applications grow (i.e. streaming video processing, virtual/augmented reality, mobile solutions) the computer network infrastructure between the point of service and the compute infrastructure is becoming a bottleneck. With the advancements of hardware at the edge of the network, where the actual service is needed, the possibility to move some or most of the computational load is becoming evident.
Thus, we aim to study methods for extending deep neural network models from the core of the network into models that exist both on the edge and on the core. The main practical goal is formulated as: taking into account network factors such as available resource on the edge, connectivity, bandwidth, latency and jitter, provide reliable, efficient and scalable Deep Learning based solutions to a multitude of connected devices. To achieve this goal, we will study the issues of DLCE reliability, efficiency, scalability and improved experience.
This project is in collaboration with KPN, a Dutch landline and mobile telecommunications company. DLCE is part of a larger project TU/e-KPN flagship SmartONE, which constitutes an interdisciplinary collaboration between KPN and 4 TU/e research centers: Smart Cities, Wireless Technology, Photonics Institute and Data Science.
We are looking for candidates that meet the following requirements:
PhD students are expected to:
Additionele informatieMore information:
The application should consist of the following parts:
Selected candidates with be invited first for a Skype interview and then for onsite visits to TU/e and KPN.
The selection process with start in March 2018 and will continue until the positions get filled. The position is fully funded and immediately available. The start date is flexible. The successful candidates are expected to start before summer 2018.
Please apply by using the 'Apply now' button on top of this page. Applications submitted by e-mail will not be considered.