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Call for Application

The Marie Curie Initial Training Network MINO is looking for applicants to 3 open research positions in the field of Mixed Integer Nonlinear Optimization. The research positions, fully funded for 18 months, involve international mobility within EU countries from the list below. The main requirement for the applicants is to be Experienced Researchers according to the strict Marie Curie EU rules, i.e., e Ph.D. degree or at least 4 years research experience, and not more than 5 years of full time research experience; note that "research experience" counts all the time after one has obtained the degree that gives access to a Ph.D. course, except periods of time demonstrably not devoted to research like military service or maternity leave. Also, a mobility rule has to be fullfilled whereby the applicant must not be hired by a partner belonging to a country where she/he has been working for in the last three years. 
For the full list eligibility conditions and jobs description please check:   
Applications are collected electronically via:
List of Industrial participant units (in which the current positions are available): 
  • IBM, Italy
  • MAIOR, Italy
  • ORTEC, The Netherlands
List of Academic participant units: 
  • 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
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 details and contact address at and on EURAXESS portal (searching for MINO).
Prof. Andrea Lodi
Coordinator of MINO ITN