The candidate will be expected to make visionary and inspiring contributions to research in autonomic networking, with emphasis on hybrid, broadband, and application-aware networks. He or she will explore the potential of self-configuring, self-managing networks and contribute to the development of new techniques, methods and algorithms.
Autonomic networks are heterogeneous, complex, large and highly dynamic. They entail core, aggregation, access, and in-building network technologies, including the user’s terminal and its composite context. Managing such a complex system requires an unprecedented level of automation and optimization. Computers, applications and networks must learn to manage themselves in accordance with high-level guidance from humans. They must pursue this goal by considering cross-layer requirements and capabilities. Network management and control cannot ignore application requirements (e.g. those imposed by a real-time streaming service), user preferences (e.g. service quality or cost), user context (e.g., terminal capability or location), and the end-to-end physical characteristics of the network (e.g. packet loss ratio).
This project aims to explore the potential and applicability of autonomic networks within the specific area of optical and fiber-wireless communication. The goal is to investigate and prototype an autonomic control plane for the dynamic configuration and optimization of optical network
Requirements
Candidates for this position should have a strong MSc degree in electrical engineering or computer science (with hardware orientation), with emphasis on networking and/or network management. He/she should have a strong affinity with data communication techniques (optical and/or wireless) and some hands-on experience with computer programming.
Previous experience in any of the following areas will be considered as an advantage:
reconfigurable networks (e.g., optical, wireless or ad-hoc networks)
context-aware systems (e.g., context modeling and management)
network performance analysis, characterization, optimization and simulation
track record of scientific publications
The ability to collaborate with members of an interdisciplinary team is of paramount importance, since autonomic networks require a close interaction with computer scientists and electrical engineers. Priority will be given to candidates who can demonstrate excellent team-worki
Conditions of employment
The appointment is for four years. As an employee of the university you will receive a competitive salary as well as excellent secondary benefits (holiday allowance, etc.). The research in this project must be concluded with the attainment of a Ph.D. degree. A salary is offered starting at Euro 2042.- per month (gross) in the first year and increasing up to Euro 2612 per month (gross) in the last year. Moreover 8% bonus share (holiday supplement) is provided annually. Assistance for finding accommodation can be given.
TU/e offers you also the opportunity for personal development by developing your social and communication skills. We do this by offering every PhD student a series of courses that are part of the Proof program an excellent addition to your scientific education
Additional information
For further information on this vacancy you can contact Prof. Antonio Liotta (a.liotta@tue.nl). For information concerning employment conditions you can contact: Ms. F. Verheggen, Human Resources Officer (f.verheggen@tue.nl Tel: +31-40-247 4796).
Application
If you are interested in this position, please upload a detailed curriculum vitae, an application letter motivating why the position and the proposed research is of interest to you and summarizing your views on the research area, a publication list, a copy of your best publication in English, course lists of your Masters and Bachelor programs (incl. grades), and the names of two references, all in electronic form n by using the ‘Apply Now’ button.
