Position Title:
------------------
Research Engineer in Bayesian Programming
Where:
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Grenoble (Capital of the French Alps), France
When:
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Immediately, for 3 to 4 years
Description of the Position:
------------------------------------
You will have to develop Bayesian models, programs, applications and
experiments.
You will be a key element of a research group devoted to "Stochastic
Models for Perception, Inference, Learning and Action".
Your main mission will be to take in charge the software development
of the group related to the starting european project BACS (Bayesian
Approach to Cognitive Systems) and some experiments on various
robotic platforms.
Your employer will be INRIA (Institut National de la Recherche en
Informatique et Automatique) a major international institute for
research in computer science and applied math.
Example of possible models, experiment or application you may have to
work on are :
- Bayesian models of neurons and population of neurons
- Bayesian models of human object perception
- Bayesian models of human and rat navigation
- Bayesian based autonomous navigation of mobile robots and cars
- Bayesian based body and face motion tracking
- Bayesian reconstruction of 3D realistic scene
- Bayesian based multi-modal sensor integration and analysis
- Bayesian driver assistance for enhanced vehicle safety
All this models are build using the Bayesian Programming formalism
(an extension of Bayes Nets) and use the ProBT® toolbox and API to
automate the inference and computation.
You will be the ProBT guru of the group and will assist researchers
and PhD student in their models and software development.
Requirements:
--------------------
Necessary :
- A master, an engineering degree or a PhD in computer science.
- Fluent in C and C++
- Fluent in either French or English (If not fluent in French, at
least some good bases are required and a strong willing to learn more
rapidly)
Plus :
- Bilingual of fluent in both language
- Experience of software development and maintenance
- Holding a PhD
- Experience of robotics and/or artificial intelligence
- Proficiency in probability or statistics
- Experience in other computer languages and tools
Additional Informations:
--------------------------------
- Grenoble
Grenoble is 600K inhabitants city right in the middle of the French
alps. It has a very big university and at least 10% of the population
is made of students. Grenoble activity is turned toward high
technology industry and research. Its domains of excellence are
nanotechnology, computer sciences and electronic. All mountain
outdoors leisure are next door (the closest ski resort is 30 minutes
from downtown).
- eMOTION research group
The research group (www-laplace.imag.fr) is made of 25 persons
(permanent researchers, engineers and PhD students). It is a very
international group as presently 6 countries are represented beside
France (Brazil, China, India, Italy, Mexico & Singapore). The group
has a long experience (>15 years) of research in Bayesian modeling.
It applies theese technics to robotics, artificial intelligence,
cognitive science and developing industrial applications. The group
has been the leader of the european project BIBA (Bayesian Inspired
Brain and Artifacts) which, after 4 years of work, is just terminated.
- BACS project:
BACS is the continuation of BIBA. Its a new european project started
in january for 4 years. The abstract of the project is the following:
Despite very extensive research efforts contemporary robots and other
cognitive artifacts are not yet ready to
autonomously operate in complex real world environments. One of the
major reasons for this failure in creating cognitive
situated systems is the difficulty in the handling of incomplete
knowledge and uncertainty.
In this project we will investigate and apply Bayesian models and
approaches in order to develop artificial cognitive systems
that can carry out complex tasks in real world environments. We will
take inspiration from the brains of mammals including
humans and apply our findings to the developments of cognitive systems.
The Bayesian approach will be used to model different levels of brain
function, from neural functions up to complex
behaviors. This will enable us to show that neural functions and
higher-level cognitive activities can coherently be modeled
within the Bayesian framework. The Bayesian models will be validated
and adapted as necessary according to
neuro-physiological data from rats and humans and through
psychophysical experiments on human.
The Bayesian approach will also be used to develop four artificial
cognitive systems concerned with (i) autonomous
navigation, (ii) multi-modal perception and reconstruction of the
environment, (iii) Semantic facial motion tracking, and (iv)
human body motion recognition and behavior analysis.
The conducted research shall result in a consistent Bayesian
framework offering enhanced tools for probabilistic reasoning
in complex real world situations. The performance will be
demonstrated through its applications to drive assistant systems
and 3D mapping, both very complex real world tasks.
- INRIA:
(see http://www.inria.fr/inria/enbref.en.html)
- Bayesian Programming and ProBT toolbox:
Bayesian Programming is a methodology and a formalism to develop
software able to deal with incomplete and uncertain information.
ProBT is a C++ library that implement Bayesian inference and learning
on various kind of computers and operating systems.
ProBT is a commercial product (www.probayes.com) but is also
available for free for research and teaching utilization
(www.Bayesian-programming.org).
Salary:
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27K€ <-> 37K€(according to qualifications)
Contact:
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[log in to unmask], [log in to unmask]
_______________________________
Dr Pierre Bessière - CNRS
*****************************
GRAVIR Lab
INRIA
655 avenue de l'Europe
38334 Montbonnot
FRANCE
Mail: [log in to unmask]
Http: www-laplace.imag.fr
Tel: +33 4 76 61 55 09
_______________________________
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