[robotics-worldwide] [jobs] Multiple PhD positions in Human-Machine Interaction funded by the ANIMATAS Innovative Training Network

Mohamed Chetouani mohamed.chetouani at upmc.fr
Wed Oct 18 01:19:48 PDT 2017


Call for Multiple PhD positions in Human-Machine Interaction funded by ANIMATAS Innovative Training Network 

ANIMATAS (MSCA – ITN – 2017 - 765955 2) is a H2020 Marie Sklodowska Curie European Training Network funded by Horizon 2020 (the European Union’s Framework Programme for Research and Innovation), coordinated by Université Pierre et Marie Curie (Paris, France). 

ANIMATAS partners are: UPMC (coord.), Uppsala Univ., Institut Mines Telecom, KTH, EPFL, INESC-ID, Jacobs Univ. and SoftBank Robotics Europe.

Scientific and technical objectives

ANIMATAS focuses on the following objectives:

1) Exploration of fundamental questions relating to the interconnections between robots and virtual characters’ appearance, behaviours and perception by people

2) Development of new social learning mechanisms that can deal with different types of human intervention and allow robots and virtual characters to learn in an unconstrained manner 

3) Development of new approaches for robots and virtual characters’ personalised adaptation to human users in unstructured and dynamically evolving social interactions 


Multiple Positions in Human-Machine Interaction: 

15 early-stage researchers (ESR) positions of 36 months are available within ANIMATAS. The successful candidates will participate in the network’s training activities offered by the European academic and industrial participating teams. The successful candidate will be have the opportunity to work with Interactive Robotics, Furhat Robotics, Mobsya, University of Wisconsin- Madison,  University of Southern California, Immersion SAS, IDMind, Trinity College Dublin. 

Details and specific deadlines are available at https://urldefense.proofpoint.com/v2/url?u=http-3A__animatas.isir.upmc.fr_&d=DwIFaQ&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=ttTgJbR_eGjR7vW7RC3ia7_epBwZ1Skz6mkNDr6Imjw&s=bgZkXnNneNkrS12YygF_x2gK6wBjdhtMSgIhy6OK1to&e= <https://urldefense.proofpoint.com/v2/url?u=http-3A__animatas.isir.upmc.fr_&d=DwIFaQ&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=ttTgJbR_eGjR7vW7RC3ia7_epBwZ1Skz6mkNDr6Imjw&s=bgZkXnNneNkrS12YygF_x2gK6wBjdhtMSgIhy6OK1to&e=> 

ESR 1 - Social context effects on expressive behaviour of embodied systems
Contact: Arvid Kappas (Jacobs Uni)
a.kappas at jacobs-university.de

ESR 2 - Modeling communicative behaviours for different roles of pedagogical agents
Contact: Catherine Pelachaud (UPMC)
catherine.pelachaud at upmc.fr 

ESR 3 - Modeling trust in human-robot educational interactions
Contact: Ginevra Castellano (UU)
ginevra.castellano at it.uu.se

ESR 4 -  Synthesis of Multi-Modal Socially Intelligent Human-Robot Interaction
Contact: Amir Pandey (SBR)
akpandey at softbankrobotics.com

ESR 5 - Socially compliant behaviour modelling for artificial systems and small groups of teachers and learners
Contact: Christopher Peters (KTH)
chpeters at kth.se

ESR 6 - Teacher orchestration of child-robot interaction
Contact: Pierre Dillenbourg (EPFL)
pierre.dillenbourg at epfl.ch

ESR 7 - Which mutual-modelling mechanisms to optimize child-robot interaction
Contact: Pierre Dillenbourg (EPFL)
pierre.dillenbourg at epfl.ch

ESR 9 - Learning from and about humans for robot task learning
Contact: Mohamed Chetouani (UPMC)
mohamed.chetouani at upmc.fr 

ESR 10 - Let’s Learn by Collaborating with Robots
Contact: Francisco Melo (INESC-ID)
fmelo at inesc-id.pt

ESR 11 -  Disfluencies and teaching strategies in social interactions between a pedagogical agent and a student
Contact: Chloé Clavel (IMT)
chloe.clavel at telecom-paristech.fr

PhD 12 - Automatic assessment of engagement during multi-party interactions
Contact: Pierre Dillenbourg (EPFL)

ESR 13 -  Automatic synthesis and instantiation of proactive behaviour by robot during human robot interaction: going beyond just being active or reactive
Contact: Amit Pandey (SBR)
akpandey at softbankrobotics.com

ESR 14 - Socio-affective effects on the degree of human-robot cooperation
Contact: Ana Paiva (INESC-ID)
ana.paiva at inesc-id.pt

ESR 15 - Adaptive self-other similarity in facial appearance and behaviour for facilitating cooperation between humans and artificial systems
Contact: Christopher Peters (KTH).
chpeters at kth.se
Requirements:

To apply, candidates must submit their CV, a letter of application, two letters of reference and academic credentials to the recruitment committee, Mohamed Chetouani (network coordinator), Ana Paiva and Arvid Kappas at contact-animatas at listes.upmc.fr <mailto:contact-animatas at listes.upmc.fr> and to the main supervisor of the research project of interest.

Please note that different deadlines of applications occur and are detailed here : https://urldefense.proofpoint.com/v2/url?u=http-3A__animatas.isir.upmc.fr_&d=DwIFaQ&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=ttTgJbR_eGjR7vW7RC3ia7_epBwZ1Skz6mkNDr6Imjw&s=bgZkXnNneNkrS12YygF_x2gK6wBjdhtMSgIhy6OK1to&e= <https://urldefense.proofpoint.com/v2/url?u=http-3A__animatas.isir.upmc.fr_&d=DwIFaQ&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=ttTgJbR_eGjR7vW7RC3ia7_epBwZ1Skz6mkNDr6Imjw&s=bgZkXnNneNkrS12YygF_x2gK6wBjdhtMSgIhy6OK1to&e=>  

Reviewing and selection of applications will start in October 2017. The positions will remain open until filled. 
The application procedure will be carried out in compliance with the Code of Conduct for Recruitment of the European Charter and Code for Researchers.


Contacts:
Mohamed CHETOUANI (ANIMATAS Coord.)
mohamed.chetouani at upmc.fr <mailto:mohamed.chetouani at upmc.fr> 

Emily MOTU (Project Manager)
emily.motu at upmc.fr <mailto:emily.motu at upmc.fr>  

https://urldefense.proofpoint.com/v2/url?u=http-3A__animatas.isir.upmc.fr_&d=DwIFaQ&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=ttTgJbR_eGjR7vW7RC3ia7_epBwZ1Skz6mkNDr6Imjw&s=bgZkXnNneNkrS12YygF_x2gK6wBjdhtMSgIhy6OK1to&e= <https://urldefense.proofpoint.com/v2/url?u=http-3A__animatas.isir.upmc.fr_&d=DwIFaQ&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=ttTgJbR_eGjR7vW7RC3ia7_epBwZ1Skz6mkNDr6Imjw&s=bgZkXnNneNkrS12YygF_x2gK6wBjdhtMSgIhy6OK1to&e=> 

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Mohamed Chetouani
Université Pierre et Marie Curie
Institut des Systèmes Intelligents et de Robotique
UMR7222

Pyramide – Tour 55
Boîte courrier 173
4 Place Jussieu
75252 Paris Cedex 05, FRANCE

Tel : (33) 01 44 27 63 08
Fax : (33) 01 44 27 44 38
Email : Mohamed.Chetouani at upmc.fr
people.isir.upmc.fr/chetouani/ 



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