[Opt-Net] 11 PhD positions Marie Curie Initial Training Network MINO

[Opt-Net]

11 PhD positions Marie Curie Initial Training Network MINO

The Marie Curie Initial Training Network MINO is looking for applicants 
to 11 open research positions in the field of Mixed Integer Nonlinear 
Optimization. The research positions fully funded for 3 years involve 
international mobility within EU countries from the list below and the
main typical requirements for the applicants are to be at the beginning
of their research careers, to be in the possession of a Master of
Science degree (or a degree allowing the registration to a
  PhD), and to fulfill the mobility rule to another country than the one 
where they are living in. Applicants of any nationality are eligible and
we are in particular encouraging female applicants.

For the full list eligibility conditions and jobs description please 
check: http://www.mino-itn.unibo.it/recruitment

Applications are collected electronically via: 
https://www.easychair.org/account/signin.cgi?conf=mino2013

List of Academic participant units
(in which the current positions are available):

UNIBO - University of Bologna, Bologna, Italy (Coordinator)
CNR - Consiglio Nazionale delle Ricerche, Roma, Italy
CWI - Centrum Wiskunde & Informatica, Amsterdam, The Netherlands
ETHZ - Swiss Federal Institute of Technology, Zürich, Switzerland
TUDO - Technical University of Dortmund, Dortmund, Germany
UCL - Université Catholique de Louvain, Louvain-la-Neuve, Belgium
UCO - University of Cologne, Cologne, Germany
UHEI - University of Heidelberg, Heidelberg, Germany
UNI-KLU - Alpen-Adria Universität, Klagenfurt, Austria
UTIL - University of Tilburg, Tilburg, The Netherlands
XTEC - École Polytechnique, Paris, France

List of Industrial participant units:
IBM, Italy
MAIOR, Italy
ORTEC, The Netherlands

MINO is a prestigious Marie Curie Initial Training Network (ITN), funded 
by the European Commission that will address challenging research topics
in the field of Mixed-Integer Nonlinear Optimization. The
primary mission of MINO is to train the next generation of highly 
qualified researchers and managers with expertise in Optimization in
general and in Mixed-Integer Nonlinear Optimization in particular.
Primary goals are: Train high-quality researchers and managers with 
expertise in Optimization;
Help satisfy the increasing demand for these researchers and managers;
Push forward the scientific frontiers of the integration between 
Nonlinear and Discrete Optimization;
Develop open source software for the solution of MINO problems;
Consolidate and expand the network of collaborations among the partners;
Enhance academia-industry transfer of knowledge in Optimization, in both 
ways;
Increase the employability of the scientists in the field of Optimization.

Please feel free to distribute this call for applications to anyone that 
might be interested. More det
ails and contact address at www.mino-itn.unibo.it and on EURAXESS portal 
(searching for MINO).

Coordinator of MINO ITN: Prof. Andrea Lodi (Bologna)