Job: Research fellowship (BI) in Electrical Engineering or Computer Science;
Job/Fellowship Reference: ARDITI-MTL-002;
Main research field: Electrical Engineering, Computer Science or Biomedical Engineering;
Sub research field: Electrical Engineering, Computer Science or Biomedical Engineeringi and Image Processing;
Analyze data from a football team with Machine Learning tools. This work is part of a project with a professional football team.
The research group of Prof. Morgado Dias is looking for candidates for a project in Signal Processing with Artificial Intelligence techniques to analyze the performance of football players.
The purpose of this work is to:
Estimate Physiological Parameters using a video source employing traditional and deep learning techniques;
Candidates should meet the following requirements, skills and competences:
(1) Estimate Physiological Parameters using a video source employing traditional techniques;
(2) Estimate Physiological Parameters using a video source employing deep learning;
Scientific guidance and workplace:
The work will be conducted under the supervision of Prof. Dr. Morgado Dias.
Prof. Morgado Dias research expertise includes Artificial Neural Networks, FPGAs and Renewable Energy.
More information can be found at:
6 months, eventually renewable;
ARDITI fellowship stipend (1104, 64€) and regulations are determined by ARDITI (https://cloud.arditi.pt/index.php/s/wJGZEAJWaQx6wcx?dir=undefined&path=%2FRegulamentos%2FBolsas&openfile=24051256)
Estimated contract start date: 1st November 2021.
The curricular selection process will be based on:
The following elements should be included in the email:
Announcement of the results:
An email message with the result of the recruitment process will be sent to each applicant.
Application submission and deadline:
|Vacant posts: 1|
|Type of contract: Fellowship contract|
|Job country: Portugal|
|Job city: Funchal|
|Job company/institute: ARDITI|
|Application deadline: October 15, 2021|