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:

1. Aggregate information and knowledge bricks (BICs) extracted from the Rnest software into learning sessions, and monitor their transmission to a learner through man-machine interfaces and oculometric devices.
2. Helping to co-construct BICs based on learning assessment.
3. Integrate the results obtained into a predictive model of cognitive load and learning curve.

Consult the detailed job description
or visit our website : https://institutminestelecom.recruitee.com/l/en/o/post-doctorat-e-learning-spontane-donnees-heterogenes-web-cdd-24-mois

Job requirements

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 : yannis.haralambous@imt-atlantique.fr
• On administrative / HR aspects : Mélissandre MORVAN – Recruitment assistant: melissandre.morvan@imt-atlantique.fr

Deadline for application: 2024, November 3rd
Start of the contract: 2025, January
Interviews: As soon as possible