New Ph.D. offer: “Towards Large-Scale Evaluation Protocols for the Visually Impaired”

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
Visually Impaired

Acronym: AI4VI

Supervisors :

  1. Researcher Pierre Kornprobst, INRIA (National Institute for Research in Digital Science and Technology) – Biovision Lab,
  2. Professor Jean-Charles Régin, I3S – C&A (Constraints and Application) Lab
  3. 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.


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