The Microsoft Research-CNRS chair ``Optimization for Sustainable
Development'' (http://chaire-osd.polytechnique.fr/) at LIX, Ecole
Polytechnique (near Paris, France) is inviting applications for two
postdoctoral positions in the field of Operations Research applied to
Sustainable Development applications.

Research at the OSD Chair focuses on the use of optimization
techniques to applications in sustainable development, including
transportation, scheduling and energy-related
topics. Methodology-wise, we pursue interests in: multi-objective
optimization, stochastic programming, combinatorial optimization,
nonlinear and mixed-integer programming.

Current projects carried out by Chair members focus on:
- green VRP
- multi-modal shortest paths in dynamic road networks
- multi-objective shortest paths
- solution algorithms for mixed-integer nonlinear programming
- graph theory and combinatorial optimization

Applicants must hold a Ph.D. in an optimization related field, and
have an interest in applications to sustainable development.

Applications should include:
- a motivation letter
- a detailed CV (including a complete list of publications)
- two reference letters
- a research statement detailing the proposed research field

Application material should be sent to Leo Liberti (leoliberti@gmail.com)
and carry "OSD chair postdoc" in the subject field. The deadline for
applications is **** July 15, 2010 ****, with a view to start around
October 2010.

One of the two positions concerns the Multiobjective
Optimization project described below. The other position is open
(preferably within one of the research subjects listed above).

  Multiobjective optimization (MOO) problems with preferences are MOO
  problems plus preferences over the objectives. Therefore preferences
  act as a filter and select the "preferred" solutions among
  Pareto-optimal ones. Preferences can be incorporated in MOO at
  different levels: before resolution, during the search process or
  after the resolution process. On the other hand, representing and
  reasoning about/with preferences have been extensively developed in
  Artificial Intelligence over the past decade resulting in robust and
  successful languages for preferences representation. The aim of this
  project is to integrate these languages into MOO problems.

Applicants to the "MOO&Preferences" project should specify their preference
*clearly* in their application. Limited to the MOO applicants,
knowledge of theory of preferences, multicriteria optimization,
stochastic programming is a plus. Applications specific to the MOO
project should be sent to Souhila Kaci (kaci@cril.fr). The deadline
for applications is **** July 15, 2010 ****, with a view to start
around October 2010.