[agents] FW: Internship and PhD position in machine learning for multimodal engagement analysis

[Gualtiero Volpe]

> -- Apologies for cross-postings –
> 
> 
> 
> *Internship and PhD position in machine learning for multimodal engagement
> analysis *
> 
> *in human-robot interactions (HRI)*
> 
> 
> 
> 
> 
> 
> 
> 
> Telecom ParisTech [1],  LTCI lab [2]
> 
> 
> Duration:  6-month internship to be continued as 3-year PhD contract
> Start: Any date from February 1st, 2018
> 
> Salary: according to background and experience
> 
> 
> 
> 
> 
> ****Position description**
> 
> 
> 
> The internship/PhD project will take part in a collaboration between Softbank
> Robotics and Télécom ParisTech on the topic of engagement analysis in
> interactions of humans with Softbank’s robots.
> 
> The role of the intern/PhD student will consist in developing robust machine
> learning systems able to effectively take advantage of the multimodal signals
> acquired by the robot’s sensors during its interaction with a human. The work
> will include:
> 
> - the design of appropriate elicitation protocols and multimodal data
> acquisition procedures ;
> 
> - the development of multimodal feature learning and dynamic classification
> procedures capable of handling noisy observations with missing values,
> especially exploiting deep learning techniques ;
> 
> - the evaluation of the system in realistic scenarios involving end-users.
> 
> The PhD project will be hosted at Telecom ParisTech  department of images,
> data and signals of [3], jointly by the social computing [4] and the audio data
> analysis and signal processing [5] teams.
> 
> 
> * *Candidate profile**
> 
> 
> 
> As a minimum requirement, the successful candidate will have:
> 
> 
> 
> •    A Master’s degree (possibly to be granted in 2018) in one of the
> following areas: computer science, artificial intelligence, machine learning,
> signal processing, affective computing, applied mathematics
> 
> •    Excellent programming skills (preferably in Python)
> 
> •    Good command of English
> 
> 
> 
> The ideal candidate will also (optionally) have:
> 
> •    Knowledge in deep learning techniques
> 
> 
> 
> -- More about the position
> 
> •    Place of work: Paris, France
> 
> •    For more information about Télécom ParisTech see [1]
> 
> 
> 
> -- How to apply
> 
> Applications are to be sent to Chloé Clavel [6], Giovanna Varni [7] and Slim
> Essid [8] by email (using <firstname.lastname>@telecom-paristech.fr)
> 
> 
> 
> The application should be formatted as a single *pdf file* and should
> include:
> 
> •    A complete and detailed curriculum vitae
> 
> •    A letter of motivation
> 
> •    Academic records of the last two years
> 
> •    The names and addresses of two referees
> 
> 
> 
> [1] http://www.tsi.telecom-paristech.fr
> 
> [2] https://www.ltci.telecom-paristech.fr/?lang=en
> 
> [3] http://www.tsi.telecom-paristech.fr/en/
> 
> [4]
> https://www.tsi.telecom-paristech.fr/recherche/themes-de-
> recherche/analyse-automatique-des-donnees-sociales-social-computing/
> 
> [5] http://www.tsi.telecom-paristech.fr/aao/en/
> 
> [6] https://clavel.wp.mines-telecom.fr/
> 
> [7] http://sites.google.com/site/gvarnisite/
> 
> [8] http://www.telecom-paristech.fr/~essid