Skip to main content

Statement

The primary goal of this project is to train the next generation of highly qualified researchers and managers with expertise in Optimizationin general and in Mixed-Integer Nonlinear Optimization in particular.

Eleven Early-Stage Researchers (ESRs) and three Experienced Researchers (ERs) will be formed within this project, through an innovative and effective training programme based on individual, original research projects, combined with training in the field of Optimization and on complementary skills.

The ESRs will be recruited for three years as Ph.D. students and the ERs for one and a half year as postdoctoral students.

Once recruited by an enterprise or by the academia at the end of their training, they will have the potential to apply all the available knowledge to optimize complex decision making in the real world.

MINO goals:

  • 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 MINO;

  • 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.