Post-Doctoral Fellow in spontaneous e-learning based on heterogenous Web data – Contract 24 months

Internationally recognized generalist engineering school of the IMT (Institut Mines-Télécom), leading French engineering school (Technological University), IMT Atlantique aims to support transitions, train responsible engineers, and use scientific excellence to serve teaching, research and innovation.
The Data Science department develops research and teaching activities in the interdisciplinary field of data science, in close interaction with industrial and societal issues (health and the environment). Its research activities are part of the Lab-STICC (UMR CNRS 6285) and LaTIM (UMR 1101 INSERM) laboratories.
Generic web search engines produce vast quantities of unreliable and untraceable results, leaving users seeking to explore a field of knowledge at a loss. La mètis’ Rnest software solves part of the problem by providing users with reliable, traceable information.
On the other hand, technology-assisted learning (e-learning) is booming, but ve. Still, very little research exists on the algorithmic production of e-learning resources, and even less when they are based on information collected on the Web following users’ requests.
In this context, the COGITAMUS project, funded by an institutional body and led by La mètis and IMT Atlantique, aims to integrate information collected from the Web and pre-processed by Rnest with e-learning methods to spontaneously obtain learning resources, and to monitor this learning at user level.
Under the functional responsibility of DECIDE team at Lab-STICC and in collaboration with members of the R&D team at La mètis, the main tasks of the position are:
Consult the detailed job descriptionor visit our website : https://institutminestelecom.recruitee.com/l/en/o/post-doctorat-e-learning-spontane-donnees-heterogenes-web-cdd-24-mois

Job requirements
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Minimum education and/or experience required:
– PhD obtained less than 3 years before date of hire in Natural Language Processing or in Cognitive Science of Learning or in Assistive Learning Technologies.
Essential skills, knowledge and experience:
– Knowledge in Natural Language Processing or in Cognitive Learning Science
– Python programming
Abilities and skills:
– Self-starter
– Scientific curiosity
– Ability to work as part of a team
– Writing skills
– Good interpersonal skills
– Work organization (adherence to schedules, presentation of deliverables, promotion of results)
APPLICATION DOCUMENT
– CV
– cover letter
– thesis manuscript
– defense report if the thesis has already been defended
– publications
WHY JOIN US :
– Exceptional working environment
– Stimulating innovation ecosystem (start-ups, students, research, companies)
– Collaboration with renowned research organizations
THE PLUS :
– On-site canteen
– Leisure and sports activities
– Public transport paid for
– Sustainable mobility package (for carpooling or cycling)
– Family allowance
– Wide range of social benefits
– Part-time teleworking possible
For additional information *:
– On the job position : Yannis HARALAMBOUS – Professor : [email protected]
– On administrative / HR aspects : Mélissandre MORVAN – Recruitment assistant: [email protected]
Deadline for application: 2024, November 3rdStart of the contract: 2025, JanuaryInterviews: As soon as possible