Project
Overview
The COMP2SYS
Early Stage Training project focuses on the training of early
stage researchers to the use of Computational Intelligence
techniques for the treatment of complex systems in science
and engineering. The programme aims at developing the knowledge
and skills necessary to solve complex problems using the powerful
emergent methods and tools of Computational Intelligence,
examples of which are swarm intelligence, machine learning
and evolutionary computation. COMP2SYS
is designed for early stage researchers from a wide range
of disciplines, to enable them to apply these important technologies
effectively within their own disciplines.
The training programme addresses the
following complementary goals:
- give the early stage researchers the opportunity
to embark in an innovative research direction in the field
of Computational Intelligence;
- promote an interdisciplinary environment for the
development and testing of novel effective computational
techniques;
- train early stage researchers about the role of
Computational Intelligence in understanding, modeling
and treating complexity in real-world systems.
The training programme will interest
two profiles of early stage researchers:
- Grant holders: they will spend
a research period of 3 years at ULB-IRIDIA. They are expected
to enroll as doctoral students in the doctoral program
of ULB.
- Young visiting scientists: typically
they are doctoral students of other universities who are
pursuing their doctorate on a topic related to Computational
Intelligence. Occasionally they can be early stage researchers
in companies research labs. Their typical stay at ULB-IRIDIA
will last for a period of time ranging from 6 to 12 months.
Shorter visits, 3 to 6 months, might occasionally be considered.
The training programme will cover the
foundations of Computational Intelligence techniques, their
practical implementation as computing tools and their real-world
application to many areas of strategic importance in the fields
of business, finance, management, commerce, engineering, healthcare
and the environment. The strength of the training method resides
in its specific focus on state-of-the-art Computational Intelligence
techniques and on the substantial research expertise of the
staff involved, with respect to both the fundamental aspects
of the technologies and their industrial application.
Through the national and international
research activities of the training team in this fast-developing
field, students will be exposed to the most up-to-date knowledge
available. Through the close interaction of the team with
industry, students will be made fully aware of the opportunities
and problems in bringing these technologies to bear on practical
problems and in fully integrating them into industrial and
business processes.
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