Postdoctoral position on conversational agents for Audio Mobility 2030
Advisor (s): Nicholas Asher - asher@irit.fr
Net salary: according to experience
Duration: 24 months
Starting date: as soon as possible


DESCRIPTION
This posdotoral position on conversational agents is proposed in the
framework of the Audio Mobility 2030 (AM2030) project, which started in
April 2023. AM2030 aims at enabling car manufacturers to have their own
in-car audio application, regardless of the operating system. They will
be able to deploy a global audio experience and offer the best content
and proactive services to drivers. It is positioned as a true road
companion that will help consumers adopt eco-responsible behaviors:
vehicle self-diagnosis and maintenance reports, advice on driving and
the use of on-board equipment.
Project partners: ETX Studio (Lead), Continental Automotive FRANCE SAS,
Université Fédérale de Toulouse Midi -Pyrénées - ANITI, École
Polytechnique de Paris

ANITI's role in the project is related to working on human-computer
interactions, in particular on natural language understanding.
This will include a conversational model that can exploit
conversational structure as well as content provided by modern
transformer based models.  The model will learn constraints on the
user's preferences, from the conversation and from his previous
choices.

The conversational assistant will go considerably beyond the art of
current finite state dialogue systems but offering a transparency,
guarantees and explainability that large transformer models by
themselves cannot.  It will interact with voice based components as
well as a recommendation model for actions based on the information
acquired by the conversational assistant.

REQUIRED SKILLS
Applicants should ideally have a PhD in machine learning. Good
programming skills are essential; and English communication skills are
also required.


APPLICATION PROCEDURE
Formal applications should include detailed cv, a motivation letter and
reference letters.
Samples of published research by the candidate will be a plus.
Applications should be sent by email to asher@irit.fr

More information: https://aniti.univ-toulouse.fr