This Ph.D. offer is part of the BoostUrCArrer project which aims at implementing at Université Côte d’Azur and with the support from the European Commission and the Conseil Region Sud-Provence-Alpes-Côte d’Azur a multidisciplinary doctoral programme in e-health. It will offer excellent conditions for the candidates. Check out this website for more information and to apply.
Title: Pushing the limits of reading performance screening with
Artificial Intelligence: Towards large-scale evaluation protocols for the
- Researcher Pierre Kornprobst, INRIA (National Institute for Research in Digital Science and Technology) – Biovision Lab,
- Professor Jean-Charles Régin, I3S – C&A (Constraints and Application) Lab
- Researcher Aurélie Calabrèse, INRIA (National Institute for Research in Digital Science and Technology) – Biovision Lab,
International partner : Professor Gordon E. Legge, Minnesota Laboratory for Low-Vision Research.
Presentation of the Ph.D. topic :
Reading performance evaluation has become one of the essential clinical measures for judging the effectiveness of treatments, surgical procedures, or rehabilitation techniques for low-vision patients. To create accurate reading tests, one needs to design a series of equivalent sentences in terms of linguistics, length, and layout.
However, because of their highly constrained nature, these sentences are hard to produce, leading to a very limited number of test versions. Your main mission will be to develop fundamental AI methods for automated natural language production, respecting strict constraints. Your results will have a direct impact on the design of powerful e-health diagnostic and rehabilitation tools that will benefit low-vision patients and their medical care staff. This project requires skills in computer science (algorithms, data structure, combinatorial optimization) and you should have a keen interest in medical applications.
You will be part of a pluridisciplinary academic consortium, with three supervisors bringing their complementary expertise and one international expert in low-vision for your 6-month secondment (Gordon E. Legge; University of Minnesota). You will also benefit from the participation of a private partner interested in natural language production (MantuLab Amaris Research Unit; Sophia Antipolis). Overall, this project will foster promising perspectives for your career, notably in the fields of natural language processing and AI, which are highly demanded in academia and industry.