[AllUsers-ISR] 2 POST-DOC Research grants (Computer Vision | ML and Deep Learning: Facial Biometrics)
João Marcos
joao.marcos at isr.uc.pt
Thu Jun 2 11:27:20 WEST 2022
Bom dia,
O mail anterior relativo a *2 bolsas Pós-Doc* no âmbito do projecto
FACING2 continha um link errado para a plataforma Euraxess. _
_
_Queiram considerar o link corrigido, abaixo_.
A VisTeam agradece ampla divulgação.
João Marcos
VisTeam <https://visteam.isr.uc.pt/home>| ISR- Universidade de Coimbra*
*
*ANNOUNCEMENT FOR THREE (2) POST-DOC RESEARCH GRANTS IN THE SCOPE OF THE
PROJECT FACING2*
*Grant*: research grants (BI) for PhD holders
*Reference*: Ref.ª FACING2-1: BI-BOLSA
*Application period: *1st till 30th June/2022
The Instituto de Sistemas e Robótica (ISR) – Universidade de Coimbra
opens call for 2 (two) research grants (BI) for PhD holders. In the
scope of the Scientific Research Project - “FACING2”, in cooperation
with the Portuguese Mint and Official Printing Office (Imprensa
Nacional-Casa da Moeda SA).
*Scientific area: *Electrical and Computers Engineering, Computer
Science, Biomedical Engineering, Informatics Engineering and affine areas.
*Work plan: *The selected candidates will develop tasks in the areas of
image processing of faces (facial biometrics) and in the areas of facial
recognition, liveness detection, verification of ICAO compliance of
portraits, morphing attack detection, biometric template protection,
among other areas. The tasks can include the development of modules for
face image manipulation or of specific objects, programming
convolutional neural networks for face recognition and mobile apps for
the demonstration of the results of the project. This project results
from the integration of the ISR-UC in the Innovation Network of the INCM
and aims at manipulating of photos of faces for identity and travel
security documents as the Citizen Card, Passports and others. The work
plan will be adapted for the selected candidates in order to work in the
development of high-end technologic products using research methods and
algorithms in the area of recognition and machine learning.
*More Information at:*https://euraxess.ec.europa.eu/jobs/793412
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