The MiGraNT project (ERC Starting Grant 240186 : Mining Graphs and Networks: a Theory-based approach) has several (3 to 5) open positions for PhD students and post-doctoral researchers.
The MiGraNT project aims at developing a sound theoretical understanding of mining and learning with graphs, and to exploit this theory to construct effective algorithms for significant real-life applications. Key features of the methodology include the integration of insights from graph theory in data mining and learning approaches, the development of efficient prototype algorithms, and the interdisciplinary collaboration with application domain experts to validate the practical value of the work,
Candidates should have a master in computer science, statistics or mathematics, a PhD in data mining, statistics, graph theory, algorithmics or theoretical computer science, or equivalent. Successful candidates can start on 01/12/2009 or later (negotiable), and funding is possible for up to 5 years.
The host institution of the MiGraNT project is the K.U.Leuven, Belgium, The K.U.Leuven has a strong history of machine learning and data mining research, and offers plenty of opportunities for interactions with researchers of application domains such as medicine, biology, chemistry and computer networks.
Candidates are requested to express their interest by sending email to Jan Ramon (see below) before September 15th, including CV, publication list and names of references.
* Location: Machine learning group (http://www.cs.kuleuven.be/~dtai/ml/), Department of computer science, K.U.Leuven (http://www.kuleuven.be), Leuven, Belgium
* Contact person: Jan Ramon (http://www.cs.kuleuven.be/~janr/ ; Jan (dot) Ramon (at) cs (dot) kuleuven (dot) be)
* More information: http://www.cs.kuleuven.be/~janr/MiGraNT/