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53 Offres de stage

Master 2 – Multiagent-based resource allocation in Microgrids


Advisors – Gauthier Picard, Baptiste Rossi (ENGIE)
Contact – send application to Gauthier.Picard@emse.fr,baptiste.rossi@engie.com
Location – Laboratoire Hubert Curien & Institut Henri Fayol, Mines Saint-Etienne
Team – Connected Intelligence & Computer science and Intelligent Systems Dpt
Keywords: Decentralized market, microgram

Summary

In this work, we wish to investigate the concept of decentralized markets in microgrids, as to improve local load balancing as much as possible within a distribution network.… En lire plus...


Mots-clés
Decentralized Markets; Multi-agent Systems; Smart Grids
Établissement
Institut Mines Télécom (IMT) Saint-Etienne
42023 Saint-Étienne  
Équipe de recherche
Connected Intelligence
Site Web
https://connected-intelligence.univ-st-etienne.fr/
Langues obligatoires
Anglais; Français
Niveau
Bac +5
Informations de contact

Gauthier Picard, gauthier.picard@emse.fr
Baptiste Rossi, baptiste.rossi@engie.com

Distributed Ledger Technology and Normative Multi-Agent for Smart Energy Management


Advisors – Olivier Boissier, Philippe Calvez (ENGIE R&D)
Contact – send application to Olivier.Boissier@emse.fr, Philippe.Calvez1@engie.com
Location – ENGIE CRIGEN 361, avenue du Président Wilson BP 33 9321 Saint-Denis La Plaine Cedex
Team – Connected Intelligence & Computer science and Intelligent Systems Dpt
Keywords: Multi-Agent Systems, Distributed Ledger Technology, Smart Energy Management

Summary

The global context of this research concerns the transformations of the global energy market due to the evolution of digital technologies.… En lire plus...


Mots-clés
Distributed Ledgers; Multi-agent Systems; Smart Energy Management
Établissement
Institut Mines Télécom (IMT) Saint-Etienne
42023 Saint-Étienne  
Équipe de recherche
Connected Intelligence
Site Web
https://connected-intelligence.univ-st-etienne.fr
Langues obligatoires
Anglais; Français
Niveau
Bac +5
Informations de contact

Olivier Boissier, olivier.boissier@emse.fr
Philippe Calvez, Philippe.Calvez1@engie.com

Interoperable Coordination and Regulation Schemes in Multi-Agent based Energy Management Systems


Summary

The global context of this research concerns the changes taking place in the global energy market introduced by the evolution of digital technologies. This global market is transforming into a decentralized eco-system of several local and agile energy markets where prosumers trade the energy they produce as well as the one they consume.… En lire plus...


Mots-clés
Multi-agent Systems; Semantic Web; Smart Energy Management
Établissement
Institut Mines Télécom (IMT) Saint-Etienne
42023 Saint-Étienne  
Équipe de recherche
Connected Intelligence
Site Web
https://connected-intelligence.univ-st-etienne.fr/
Langues obligatoires
Anglais; Français
Niveau
Bac; Bac +1; Bac +2; Bac +3; Bac +4; Bac +5

stage de M2/MSc internship - Université d'Evry


An internship for an M2 student is available at the Laboratoire IBISC, Université d’Evry, starting in February 2017, with a duration of 5 months.

The project hinges on logics for reasoning about strategic behaviours in
Multi-agent Systems.

The project is directed by Dr Francesco Belardinelli and it is part of
the ANR JCJC project SVeDaS “Specification and Verification of Data-aware Systems”.… En lire plus...


Mots-clés
Epistemic Logic; Formal Methods; Logics for Reasoning about Strategies; Multi-agent Systems
Établissement
Université d' Évry-Val d'Essonne
91025 Evry  
Site Web
https://www.ibisc.univ-evry.fr/~belardinelli/Documents/stage_M2.pdf
Niveau
Bac +5
Prérequis

The applicant is required to have a strong background in mathematical logics,
including modal logics (temporal, epistemic, etc.), as well as programming skills
(C, compilers) for the programming component in point (3).
The project comes with a studentship and it can be extended into a PhD,
provided that sufficient results are achieved.

Durée
6 months
Indemnité
500 euros par mois
Informations de contact

Dr Francesco Belardinelli, Laboratoire IBISC, Evry, France.

Email: belardinelli@ibisc.fr

3 stages niveau M2 au LIPN


Bonjour,
l’axe “analyse” de l’équipe RCLN du LIPN propose 3 sujets de stages
niveau M2, avec la possibilité de continuer en thèse pour au moins l’un
des 3 sujets.

1 Stage M2: Entraînement LASO pour l’analyse en dépendances “easy-first”
————————————————————————

1.1 Contexte scientifique
————————-

L’algorithme /easy-first/ pour l’analyse en dépendances [1]est un
algorithme glouton qui construit les arbres d’analyse de manière
ascendante en prenant les décisions les plus faciles, celles qui
nécessitent le moins de contexte, en premier de façon à donner plus
d’informations aux décisions ultérieures.… En lire plus...


Mots-clés
apprentissage automatique; deep learning; traitement automatique de langue
Établissement
Université Paris-Nord : Paris 13
93430 Villetaneuse  
Langues obligatoires
Anglais; Français
Niveau
Bac +5
Prérequis

cf. annonce

Indemnité
gratification de stage niveau M2
Informations de contact

cf. annonce

Black-box optimization of deep convolutive neural network acoustic models


Start: Spring 2017
To apply: send a CV, a letter of motivation, and your BSc/MSc transcripts to Romain Serizel and Odile Mella

Automatic speech recognition relies on an acoustic model that relates the speech signal at a given time to the phoneme pronounced. State-of-the-art acoustic models are based on deep neural networks (DNNs) [1].

En lire plus...

Établissement
Inria Nancy - Grand Est
54600 Villers-lès-Nancy  
Équipe de recherche
Multispeech
Site Web
https://team.inria.fr/multispeech/internship-on-black-box-optimization-of-deep-convolutive-neural-network-acoustic-models/
Langues obligatoires
Anglais
Niveau
Bac +4; Bac +5; Bac +8
Prérequis

BSc in computer science, machine learning, or a related field. MSc/PhD ongoing. Programming experience in Python.
Experience with deep learning toolkits (Theano, Tensorflow, Keras, Chainer…) and Kaldi is a plus.

Durée
4 à 6 mois
Indemnité
gratification
Informations de contact

romain.serizel@loria.fr
odile.mella@loria.fr

Detection of speech segments for speech transcription


Start: Spring 2017
To apply: send a CV, a letter of motivation, and your BSc/MSc transcripts to Denis Jouvet and Dominique Fohr

Speech activity detection is the task of identifying speech and non-speech segments in a continuous recording and possibly their gross characteristics, e.g. silence, noise, music, clean speech, noisy speech… This is a key module in speech recognition and transcription systems.

En lire plus...

Établissement
Inria Nancy - Grand Est
54600 Villers-lès-Nancy  
Équipe de recherche
Multispeech
Site Web
https://team.inria.fr/multispeech/internship-on-detection-of-speech-segments-for-speech-transcription/
Langues obligatoires
Anglais
Niveau
Bac +4; Bac +5; Bac +8
Prérequis

BSc in computer science, machine learning, or a related field. MSc/PhD ongoing. Programming experience in Python.
Experience with deep learning toolkits (Theano, Tensorflow, Keras, Chainer…) and Kaldi is a plus.

Durée
4 à 6 mois
Indemnité
gratification
Informations de contact

denis.jouvet@loria.fr
dominique.fohr@loria.fr

Domain adaptation of neural network language models for speech recognition


Start: Spring 2017
To apply: send a CV, a letter of motivation, and your BSc/MSc transcripts to Irina Illina and Dominique Fohr

Language models (LMs) play a key role in modern automatic speech recognition systems and ensure that the output respects the pattern of the language. In the state-of-the-art systems, the language model is a combination of n-gram LMs [Bellegarda2004] and neural network LMs [Yu2015] because they are complementary.

En lire plus...

Établissement
Inria Nancy - Grand Est
54600 Villers-lès-Nancy  
Équipe de recherche
Multispeech
Site Web
https://team.inria.fr/multispeech/internship-on-domain-adaptation-of-neural-network-language-models-for-speech-recognition/
Langues obligatoires
Anglais
Niveau
Bac +4; Bac +5; Bac +8
Prérequis

BSc in computer science, machine learning, or a related field. MSc/PhD ongoing. Programming experience in Python.
Background in statistics or natural language processing and experience with deep learning toolkits (Theano, Tensorflow, Keras, Chainer…) and Perl is a plus.

Durée
4 à 6 mois
Indemnité
gratification
Informations de contact

irina.illina@loria.fr
dominique.fohr@loria.fr

Data selection for the training of deep neural networks in the framework of automatic speech recognition


Start: Spring 2017
To apply: send a CV, a letter of motivation, and your BSc/MSc transcripts to Irina Illina and Dominique Fohr

About 300 hours of multimedia are uploaded on the Internet every minute. Spoken data represent a very important part. The classical approach for spoken content retrieval from spoken documents involves automatic speech recognition followed by text retrieval.

En lire plus...

Établissement
Inria Nancy - Grand Est
54600 Villers-lès-Nancy  
Équipe de recherche
Multispeech
Site Web
https://team.inria.fr/multispeech/internship-on-data-selection-for-the-training-of-deep-neural-networks-in-the-framework-of-automatic-speech-recognition/
Langues obligatoires
Anglais
Niveau
Bac +4; Bac +5; Bac +8
Prérequis

BSc in computer science, machine learning, or a related field. MSc/PhD ongoing. Programming experience in Python.
Background in statistics or natural language processing and experience with deep learning toolkits (Theano, Tensorflow, Keras, Chainer…) and Kaldi is a plus.

Durée
4 à 6 mois
Indemnité
gratification
Informations de contact

irina.illina@loria.fr
dominique.fohr@loria.fr

Extension d’un logiciel de veille sanitaire pour analyser l’émergence et la propagation de maladies animales


 

Stage Professionnel de Master 2 (Informatique) – 2017 :

Extension de PADI-Web[1]

Extension d’un logiciel de veille sanitaire pour analyser l’émergence et la propagation de maladies animales

Responsables Inra[2] et Cirad[3] : Sylvain Falala, Mathieu Roche

Encadrants liés au projet : Alizé Mercier, Jocelyn de Goër de Hervé

Cirad, Campus de Baillarguet, Montpellier

sylvain.falala@cirad.frEn lire plus...


Mots-clés
développement; plateforme web; santé animale; veille
Établissement
TERRITOIRES, ENVIRONNEMENT, TÉLÉDÉTECTION ET INFORMATION SPATIALE (TETIS)
34093 MONTPELLIER  
Date de début souhaitée
01/02/2017
Langues obligatoires
Français
Niveau
Bac +2; Bac +3; Bac +4
Prérequis

Connaissance de PHP, MySQL, Javascript

Durée
6 mois
Informations de contact

Sylvain Falala - sylvain.falala@cirad.fr - +33 (0)4 67 59 38 69
Mathieu Roche - mathieu.roche@cirad.fr

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