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PhD position on Distributed Learning for Reliable IoT QoS

PhD position on Distributed Learning for Reliable IoT QoS

Países Bajos 14 feb. 2021
University of Twente

University of Twente

Universidad Estatal (Países Bajos), Examinar oportunidades similares

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Universidad Estatal
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Fecha límite
14 feb. 2021
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Job description

Controlling a wireless network so that it is always operating at its best in all possible situations is not easy. There are many correlated factors which influence network behaviour, from the transmit power, via the routing, to the application constraints; all are extremely related to the environment in which network operates, aspects such as mobility, density, connectivity and device usage impact greatly on the perceived quality of service. 

This research project focuses on the creation of a distributed AI located at the edge devices and able to make local decisions which impact global performance. Specifically, the setting of a multi-technology IoT network in the health care setting represents the ideal use-case scenario to develop and test adaptive, self-configuring edge AI solutions. Cross-layer Machine Learning will be particularly investigated to create scalable solutions which can adapt each IoT device behaviour to steer the network towards desired performance towards increased reliability, decreased energy consumption and maximal data-rate. 

We are seeking candidates for a fully-funded 4-year PhD position. The PhD candidate will work at the Pervasive Systems Research group, Department of Computer Science, Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) at the University of Twente in the Netherlands. The prospective PhD candidate is expected to perform high quality and internationally visible research that gets published at top tier conferences and journals.  

The Project:
This project is in the scope of the Intelligent Secure Trustable Things (InSecTT) EU project, of which aim is to provide comprehensive cost-efficient solutions of intelligent, end-to-end secure, trustworthy connectivity and interoperability for industrial applications such as smart infrastructure, building, manufacturing, automotive, aeronautics, railway, urban public transport, maritime as well as health. The project is funded the biggest EU Research and Innovation programme, Horizon 2020. The outcomes would enable products and services based on AI compliant to European values and “Made in Europe”.

Your profile

Our offer

As a PhD candidate you will be enrolled in the University of Twente. Your work location is Enschede, but you will spend a part of your time at the Philips offices. We offer:

Information and application

Do you want to work at the Best Technical University in The Netherlands, praised by the Keuzegids in 2019? Please send your application before 15 Feb 2021 via the ‘Apply now’ button, and include:

The selection procedure includes an interview and scientific presentation. And an assessment may be part of the selection procedure. The interviews are scheduled in the 4th week of February 2021, please take this into account.

For additional information about these positions, you are encouraged to contact Prof. Dr. Paul Havinga: p.j.m.havinga@utwente.nl or Dr. Ir. Alessandro Chiumento: a.chiumento@utwente.nl, Pervasive Systems Research group, Department of Computer Science, University of Twente.

About the department

The faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) comprises three disciplines that shape Information and Communication Technology. ICT is more than communication. In almost every product we use mathematics, electronics and computer technology and ICT now contributes to all of societies’ activities. The faculty works together intensively with industrial partners and researchers in the Netherlands and abroad and conducts extensive research for external commissioning parties and funders. The research which enjoys a high profile both at home and internationally, has been accommodated in the multidisciplinary research institutes MESA+, CTIT and MIRA.

About the organization

The faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) uses mathematics, electronics and computer technology to contribute to the development of Information and Communication Technology (ICT). With ICT present in almost every device and product we use nowadays, we embrace our role as contributors to a broad range of societal activities and as pioneers of tomorrow's digital society. As part of a people-first tech university that aims to shape society, individuals and connections, our faculty works together intensively with industrial partners and researchers in the Netherlands and abroad, and conducts extensive research for external commissioning parties and funders. Our research has a high profile both in the Netherlands and internationally. It has been accommodated in three multidisciplinary UT research institutes: Mesa+ Institute, TechMed Centre and Digital Society Institute.

As an employer, the EEMCS Faculty offers jobs that matter. We equip you as a staff member to shape new opportunities both for yourself and for our society. With our Faculty, you will be part of a leading tech university that is changing our world for the better. We offer an open, inclusive and entrepreneurial climate, in which we encourage you to make healthy choices, for example, with our flexible, customizable conditions.

University of Twente (UT)

University of Twente (UT) has entered the new decade with an ambitious, new vision, mission and strategy. As ‘the ultimate people-first university of technology' we are rapidly expanding on our High Tech Human Touch philosophy and the unique role it affords us in society. Everything we do is aimed at maximum impact on people, society and connections through the sustainable utilisation of science and technology. We want to contribute to the development of a fair, digital and sustainable society through our open, inclusive and entrepreneurial attitude. This attitude permeates everything we do and is present in every one of UT's departments and faculties. Building on our rich legacy in merging technical and social sciences, we focus on five distinguishing research domains: Improving healthcare by personalised technologies; Creating intelligent manufacturing systems; Shaping our world with smart materials; Engineering our digital society; and Engineering for a resilient world.

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