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Postdoctoral Research position at Bayonne Institute of Technology (France)

ABG-92158 Emploi Sénior
20/05/2020 CDD 11 Mois > 45 et < 55 K€ brut annuel
Logo de
IUT de Bayonne (Université de Pau et des Pays de l'Adour)
Anglet (Bayonne / Biarritz) - Nouvelle Aquitaine - France
Informatique
machine learning ; educational data mining ; intelligent tutoring systems ; recommander systems
01/06/2020
Recherche et Développement

Employeur

The research to be conducted will rely on the technological infrastructure of the Institute massively used by undergraduates in computer science, engineering, management and business). At the best international standards, this infrastructure is operated by a technical team of 5 engineers working in tight cooperation, coordination and exchanges with lecturers and researchers in computer science, information technology  as well as pedagogical engineers. This synergy between technology, research and education has led the Institute to obtain significant success for the benefit of 1000 students, particularly in distance-teaching/learning (complete distance degree course, distant mentored scholar projects, …) and e-learning innovations (active learning methods and tools, cooperation tools, …).

Poste et missions

Your tasks :

- Develop the extensions needed to provide an existing e-learning infrastructure with an opportunistic recommender system

 

-  Publications in top conferences and journals dedicated to e-learning and machine learning

 

-  From the research conducted, promoting collaborative research and drafting structuring projects to succesfully respond to different call for projects from Pau University (junior chair, thematic research hub, start-up creation, …), and/or from other national and international funding agencies

Mobilité géographique :

Pas de déplacement

Prise de fonction :

01/09/2020

Profil

# Skills

recommender systems;

reinforcement learning;

educational data mining;

small data machine learning;

 

 

# Experience in various areas will be appreciated:

active learning theory ; applications to education;

causal inference;

privacy-preserving Machine Learning;

 

This postdoctoral position should be understood as a step towards a career oportunity in the University of Pau. As a consequence, an important outcome should be the awarding of submissions of structuring projects to Pau University (cf. https://e2s-uppa.eu/en/calls-for-projects/calls-schedule-for-2019-2020.html) and/or national and international project calls.

 

In order to better understand the requirements of the recommander system for both students and lecturers, the selected candidate will have the opportunity of delivering IT lectures and classes at Bayonne Institute of Technology or associated centres, and also participating in distance-teaching existing programmes. This activity will constitute a potential source of additional income.

 

Objectifs

# Research focus

The program focuses on active learning, that is any approach to instruction in which all students are asked to commit to the learning process. In the context of vocational education, students of the Institute are thus provided with a set of desktop applications from which they are asked to solve concrete simple or complex problems in relation with their bachelor’s degree. Support to achieve these tasks can be provided to each student, on or without demand, by dedicated resources included in a Learning Management System, by other connected students (cf. cooperative learning), or by human tutors …

 

Considering the available infrastructure and tracking tools, the research will consist in :

a- formalizing the behavioral models of such a system for doing and learning,

b- designing reinforcement-learning algorithms and extending available tools to provide these algorithms with the required convenient data (cf. students’ tracks),

 

The concrete outcome of the research should be a recommander system extending the current infrastructure and tools (tracking tools, notification tools), as well as adequate protocols to assess this recommander system with our students.


 

 

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