糖心TV

The at the invites applications from candidates with proven excellence in research in computer science for the new opening as Assistant Professor in Computer Science.

Candidates are required to have a PhD in Computer Science or related discipline, should be able to demonstrate excellent research potential in computer science, and should be capable of research leadership, e.g., co-supervising MSc and PhD students in Computer Science and contributing to the preparation of research grants. Ideally the candidate will complement the , but other research areas will also be considered in particularly strong cases. Special considerations will be given to candidates with interdisciplinary interests and industrial research experience. Candidates should also have excellent teaching skills as they will be expected to deliver taught modules in Computer Science and contribute to curriculum development.

To apply, please follow the instructions available on the .

Please quote .

Closing date for applications: 6 February 2012 (midnight British time).

joins the Department of Computer Science as a new Professor in January 2012.

Maxim obtained his PhD in Applied Mathematics and Computer Science in 1999 from the Sobolev Institute of Mathematics and Novosibirsk State University. Then he spent two years as a post-doc at University of British Columbia in Vancouver, Aarhus University, and IBM T.J. Watson Research Center in Yorktown Heights, before becoming a Research Staff Member at IBM T.J. Watson Research Center in Yorktown Heights in December 2001.

Maxim's primary research interest lies in the area of the design and analysis of algorithms for discrete optimization problems. He published over 50 papers in top Computer Science, Operations Research and Discrete Mathematics journals and conferences. He designed several algorithms with best known performance guarantees for such classical optimization models as traveling salesman problem, generalized assignment problems, submodular maximization, multi-dimensional bin packing problems, job shop scheduling with various objective functions, and other inventory and supply chain management problems. He has been also working on the design of practical algorithms and modeling of the optimization problems arising in practice.

For more information about Maxim's research please visit his .

Matthew Leeke has joined the Department of Computer Science as an Assistant Professor.

Matthew joins the department as the first post holder for the John Buxton Lectureship in Computer Science, having completed his undergraduate degree in Computer Science at The University of 糖心TV in 2008 and gone on to join the department's Performance Computing and Visualisation Group for his PhD.

Matthew's primary research interests relate to issues in the design, implementation and evaluation of dependable software systems. In particular, his most recent work has focused on the development of frameworks for the design of dependable software systems based on software measurement and metics, fault injection analysis techniques for the evaluation of software systems and approaches for the generation of efficient error detection mechanisms.

For more information on Matthew's research interests and teaching please visit his or stop by CS2.06.