Postdoc Position in Dynamic Graphs

Available from April 2018 up to September 2019.


LITIS laboratory seeks to hire a postdoctoral researcher to join the ASTREOS project (Flows in sociotechnical systems – structure, reliability and control) funded by Normandy region.

Sociotechnical systems are, by their nature, complex systems. Networks are the fundamental model of such systems. Graph theory supported by statistical physics provides tools to characterize and analyze them. But the networks we are interested in are not immutable. They are traversed by flows (of goods, vehicles, money, energy, information and so on) which modify and restructure them all the time. Dynamic graphs (also called time- varying graphs or temporal networks) are therefore the appropriate tool to study the sociotechnical systems.

The postdoctoral researcher will join the RI2C team of LITIS and will work in Le Havre. Most of the team’s research activity is structured around dynamic graphs. In particular, the team develops and maintains GraphStream, a software library for modeling and analyzing dynamic graphs.

Job description

Dynamic graphs are relatively new research area and that is why there are many ways to define them. We will retain a description of the dynamics as a stream of discrete elementary events: addition or deletion of a vertex or an edge; change of a value associated to a vertex or an edge. The result of this event stream is a graph that evolves over time.

The research will be guided by the following general question: how to maintain a structure in such a graph? Depending on the problem, this structure could be a spanning tree, a path between two nodes, a community structure, a load distribution between nodes, network flows and so on.

To answer this question, two approaches are considered:

The theoretical results of this work will complete the GraphStream library and in particular its dynamic algorithms. They will also feed the applied research within ASTREOS project, particularly in logistics, territorial intelligence and sensor networks.

Desired skills and experience


Equipe : RI2C
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