Synergistic interactions in swarms of heterogenous agents
The research work is in the context of a Swiss project involving
multiple laboratories. The project aims at laying the foundations
for the design, implementation, and adaptive control of
heterogeneous multi-agent systems that are composed of humans,
animals, and robots working in cooperation to solve distributed
tasks that require a wide diversity of sensory-motor and
cognitive skills. The objective is to provide each component of
such a mixed swarm with a high level of autonomy in order to
allow it to fully exploit its own unique skills and abilities,
and at the same time to set up close bidirectional interactions
and information flows between all system components in order to
ensure overall synergistic cooperation. In the context of this
project, the candidate will focus on the issue of the adaptive
system-level planning of the activities of a networked swarm of
mobile agents with different sensory-motor and cognitive
capabilities.
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Candidate Profile:
We are looking for an
excellent and highly motivated candidate with a strong interest and a
scientific background in: combinatorial optimization, sensor
networks, distributed systems, and swarm intelligence. The candidate must have a MASTER
degree (or equivalent). She/he is expected to have good programming and
mathematical skills, and to have a positive attitude toward
interdisciplinary research and teamwork.
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Research environment:
IDSIA (http://www.idsia.ch)
is a research institute affiliated to the University of
Lugano (http://www.usi.ch/en/index.htm)
and
theUniversity of Applied Sciences of Southern Switzerland
(http://www.supsi.ch/home_en.html).
IDSIA is a truly international, stimulating, and dynamic
environment. It currently hosts about 50 people, including
senior researchers, postdoctoral fellows, and Ph.D. students.
The research activities carried out at IDSIA address a number
ofdifferent domains, including: swarm robotics, machine learning, combinatorial optimization,
networking, bio-inspired computing,data mining, information theory,
complex systems, and simulation.
Position is open until
filled. Candidates are strongly encouraged to send their applications
before December 22, 2010.