Project Details
Description
ALMOA will train the next generation of highly skilled researchers and managers in Applied Mathematics, Operations Research, and
Computer Science, to face identified needs in areas such as Sustainable Energy Systems, Green Logistics, Green Data Science, and
Natural Sciences. 13 Doctoral Candidates (DC) will be educated through an innovative and effective training programme based on
individual, original research projects motivated by these applications. Through the complementary competencies in our research
teams of preeminent optimisation experts and practitioners from leading European industries, we will employ multiple perspectives
on optimisation to conceive and produce the mathematical foundations, solution methods, and corresponding software. Crossing
borders between the optimisation areas often yields brilliant outcomes, hence we see great innovative potential by means of a
combination of mixed-integer nonlinear, uncertainty, multilevel, matrix-valued, hierarchical, and large-scale aspects.
Our consortium has an excellent track record of collaboration and training young researchers, having run four MSCA training
networks in recent decades. In ALMOA we strive for even higher academic standards. Through secondments to different academic
and industrial sites, the DC will be exposed to a broader range of methodological approaches, with the benefit of superior
collaborative supervision by academic and industrial partners with international visibility. By gaining transferable skills, the DC will be
entrepreneurial and resilient researchers, able to face current and future challenges and to convert knowledge and ideas into
products and services. Cross-cultural experiences will broaden their horizons and ALMOA will promote global academic citizenship
for individuals and institutions. The applications considered as well as following the recommendations in the MSCA Green Charter will
have a positive impact towards an environmentally sustainable future.
Computer Science, to face identified needs in areas such as Sustainable Energy Systems, Green Logistics, Green Data Science, and
Natural Sciences. 13 Doctoral Candidates (DC) will be educated through an innovative and effective training programme based on
individual, original research projects motivated by these applications. Through the complementary competencies in our research
teams of preeminent optimisation experts and practitioners from leading European industries, we will employ multiple perspectives
on optimisation to conceive and produce the mathematical foundations, solution methods, and corresponding software. Crossing
borders between the optimisation areas often yields brilliant outcomes, hence we see great innovative potential by means of a
combination of mixed-integer nonlinear, uncertainty, multilevel, matrix-valued, hierarchical, and large-scale aspects.
Our consortium has an excellent track record of collaboration and training young researchers, having run four MSCA training
networks in recent decades. In ALMOA we strive for even higher academic standards. Through secondments to different academic
and industrial sites, the DC will be exposed to a broader range of methodological approaches, with the benefit of superior
collaborative supervision by academic and industrial partners with international visibility. By gaining transferable skills, the DC will be
entrepreneurial and resilient researchers, able to face current and future challenges and to convert knowledge and ideas into
products and services. Cross-cultural experiences will broaden their horizons and ALMOA will promote global academic citizenship
for individuals and institutions. The applications considered as well as following the recommendations in the MSCA Green Charter will
have a positive impact towards an environmentally sustainable future.
| Short title | ALMOA |
|---|---|
| Acronym | ALMOA |
| Status | Active |
| Effective start/end date | 1/01/26 → 31/12/29 |
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