PhD: Dynamics and Co-evolution in Complex Networks
Engels -- Faculty/department Electrical Engineering, Mathematics and Computer Science Level Master degree Maximum employment Maximum of 38 hours per week (1 FTE) Duration of contract 4 years Salary scale €2042 to €2612 per month gross Electrical Engineering, Mathematics and Computer Science The Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) is known worldwide for its high academic quality and the social relevance of its research programmes. The faculty’s excellent facilities accentuate its international position in teaching and research. The faculty offers an interdisciplinary setting for its 500 employees, 350 PhD students and 1700 undergraduates. Together they work on a broad range of technical innovations in the fields of sustainable energy, telecommunications, microelectronics, embedded systems, computer and software engineering, interactive multimedia and applied mathematics. EEMCS: Your Connection to the Future. The PhD opening is in the section Networks Architectures and Services (NAS) of the Faculty of Electrical Engineering, Mathematics, and Computer Science (EEMCS) at Delft University of Technology and funded by the EU FP7 project CONGAS. The Networks Architectures and Services (NAS) section educates and conducts research in the broad area of complex networks, ranging from data communications and Internetworking, to other man-made infrastructures such as road-traffic networks, and to biological, brain, social and financial sector networks. The emphasis lies on understanding these complex, real-world networks by topological as well as spectral studies. NAS also has expertise in concepts (e.g. routing, robustness) of network architectures, on the performance analysis of quality of service-aware protocols and Internet behaviour, and on strategic and business-oriented challenges for network operators. Job description A variety of socio-technical systems, in areas as diverse as the Internet, energy management, financial markets, ICT infrastructures, design of transport systems, urban planning and policy making possess a rich multi-level structure and exhibit complex dynamics that are the result of a web of interwoven interactions among elements with autonomous decision-making capabilities. The proposed research will address a) Characterization of evolving networks, b) Dynamics such as information diffusion, percolation and epidemic spread, c) Network co-evolution where the dynamic process changes the network topology and d) extend this expertise to multi-level complex networks. The overall objective is to understand the emergence of structure and patterns in complex systems, accounting for interactions spanning various scales in time and space, and acting at different structural and aggregation levels. Requirements The NAS group has expertise in Internet networking, network robustness and epidemics. We are looking for a brilliant PhD candidate with a deep interest in aspects of complex networks, who has strong mathematical skills and who is eager to apply mathematical insight into practical issues in the wide domain of complex networks. The back ground education for candidates is a master degree in either engineering, computer science, mathematics or/and physics. Conditions of employment TU Delft offers an attractive benefits package, including a flexible work week, free highspeed Internet access from home (with a contract of two years or longer), and the option of assembling a customised compensation and benefits package (the 'IKA'). Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities. Information and application For more information about this position, please contact Prof. P.F.A. Van Mieghem, phone: +31 (0)15-2782397, e-mail: [email protected]. To apply, please e-mail a detailed CV listing awards, prizes and ranking along with a letter of application by November 1st, 2012 to Prof. Van Mieghem and in cc Mrs. A.C.M. Hoek, [email protected]. When applying for this position, please refer to vacancy number EWI2012-NAS_CONGAS. _______________________________________________ IEEE Communications Society Tech. Committee on Computer Communications (TCCC) - for discussions on computer networking and communication. [email protected] https://lists.cs.columbia.edu/cucslists/listinfo/tccc
