Teaching:
BUT Informatique
Address: IUT de Villetaneuse
The recruited person will be responsible for teaching IT in BUT at the IT department of the IUT of Sorbonne Paris Nord University in initial training and apprenticeship.
The IUT of Villetaneuse is located on the Villetaneuse campus in the immediate vicinity of the Paris Nord Computer Science Laboratory (LIPN).
The educational content follows a national educational program (https://www-info.iutv.univ-paris13.fr/ programmeBUTINFO.pdf)
The needs relate in particular to teaching in data processing ranging from database design to
development quality.
The Computer Science department offers courses related to Artificial Intelligence. Skill in this area would be appreciated.
The recruited person is expected to participate and invest in the collective life of the department. In particular, in the short/medium term, ensure the monitoring of internships and work-study programs, participate in the organization of SAE (SAé – Learning and Evaluation Situations), become course manager, or even take on other more educational responsibilities.
Contact details :
Pascale Hellégouarc’h, Cheffe du département Informatique, pascale.hellegouarc-h@univ-paris13.fr
Jean-Christophe Dubacq, Enseignant Chercheur, jean-christophe.dubacq@univ-paris13.fr
Research:
Laboratoire d’Informatique de Paris Nord (UMR CNRS 7030)
The LIPN seeks to recruit an Assistant/Associate Professor to develop its cross-disciplinary Data Science initiative, with a priority on strengthening the research themes of the Machine Learning and Applications (A3) team. Profiles that align with the Knowledge Representation and Natural Language Processing (RCLN) team will also be considered.
The A3 team is structured around three axes focused on major complementary challenges in machine learning: learning from data and learners; relational learning and graphs; meta-learning and structure learning. Each of these three axes addresses fundamental and applied research, supported by academic and industrial collaborative projects. We are looking for candidates who have made theoretical and/or applied contributions to machine learning, and who will strengthen (in no particular order of priority) one or more of the team’s three areas of research.
The RCLN team brings together expertise in natural language processing, knowledge graphs, data mining, and machine learning related to previous themes. The team actively participates in the leadership and research activities of the LabEx “Empirical Foundations of Linguistics”. We are seeking candidates whose work focuses on machine learning for NLP or Knowledge Graphs.
Contact details:
Celine Rouveirol, head of A3 team, celine.rouveirol@lipn.univ-paris13.fr
Nathalie Pernelle, head of the RCLN team, nathalie.pernelle@lipn.univ-paris13.fr