Might be of interest.
For YETI
Debabrata Phukon
---------- Forwarded message ---------
From: Binoy vv <vvbinoy@xxxxxxxxx>
Date: Wed, 30 Jan 2019, 8:15 am
Subject: Fwd: [ASAB-MAIL] [jobs] open research positions in collective
decision making, ISTC-CNR, Rome, Italy
To: YETI <meet.yeti@xxxxxxxxx>
Apply Directly
---------- Forwarded message ---------
From: Vito Trianni <vito.trianni@xxxxxxxxxxx>
Date: Wed, Jan 30, 2019, 3:11 AM
Subject: [ASAB-MAIL] [jobs] open research positions in collective decision
making, ISTC-CNR, Rome, Italy
To: <ANIMAL-BEHAVIOUR@xxxxxxxxxxxxxx>
I’m recruiting the following profiles within the context of the project
CODE: Collective Decisions in Dynamic Environments (see below for more
info), carried out at the Institute of Cognitive Sciences and Technologies
of the Italian National Research Council, in Rome.
The following profiles are required:
- junior post-doc (including those nearing the end of their PhD)
- postgraduate research assistant (with possibility to enrol in a PhD
school)
Open positions are for 2 years (with possibility of +1 year). Preferred
starting date June the 3rd, 2019.
Ideal candidates should have knowledge about dynamical systems theory,
multi-agent systems, swarm robotics. Good programming skills are also
required (Python, C++), as well as abilities in data visualisation.
The interested candidate may place an informal inquiry by email to Vito
Trianni <vito.trianni@xxxxxxxxxxx>, attaching CV and a short motivation
letter. The position will remain open until filled.
CODE: Collective Decisions in Dynamic Environments
The CODE project aims to study collective decision making in dynamical
contexts, where the possible alternatives display time-varying features.
The study has a theoretical component based on dynamical systems theory,
and an experimental component based on multi-agent and multi-robot systems.
Dynamical systems are useful to determine the time evolution of collective
decision-making under a given parameterisation, with the goal of
identifying optimal conditions to maximise efficiency and decision
accuracy. Multi-agent models allow to validate the predictions made by
analytical models, and to consider heterogeneous interaction topologies
that can emerge, for instance, from a complex and dynamic distribution of
agents in space, as resulting from non-random motion patterns. The research
also includes the possibility to test the identified collective decision
strategies with multi-robot systems, exploiting a swarm of kilobot robots.
========================================================================
Vito Trianni, Ph.D. vito.trianni@
(no_spam)istc.cnr.it
ISTC-CNR
http://www.istc.cnr.it/people/vito-trianni
Via San Martino della Battaglia 44 Tel: +39 06 44595277
00185 Roma Fax: +39 06 44595243
Italy
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