Job summary:
Analyze data from a football team with Machine Learning tools. This work is part of a project with a professional football team.
Job description:
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;
Admission Requirements:
Candidates should meet the following requirements, skills and competences:
- A Master degree in Electrical Engineering, Computer Science or Computer Engineering (preferred) or similar areas, completed before arrival.
- Must be registered as a student. There is a preference criteria for students who are or will be supervised in our research group. You need to state clearly that you will meet this criteria.
- Must have previous experience in estimating Physiological Parameters using a video source
- Good oral and spoken English as well as good communication skills. TOEFL or IELTS scores are encouraged. At least the English proficiency that fulfills the requirements of CSC applications is necessary.
- Teamwork spirit.
- Self-motivation and independent working ability.
- Knowledge of and research experience related to the above fields are strongly preferred.
- Previous published work is a preference factor.
Workplan:
(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.
Duration:
6 months, eventually renewable;
Salary:
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.
Evaluation criteria:
The curricular selection process will be based on:
- Curriculum Vitae (30%)
- Former research experience (20%)
- Selected candidates might be invited for an interview or short exam (50%).
Selection panel:
- President of the jury: Prof. Dr. Morgado Dias.
- Members: Prof. Dr. Eduardo Fermé and
- Prof. Dr. Élvio Rúbio Gouveia.
Application contents:
The following elements should be included in the email:
- Brief description of the candidate, research ability and research interest;
- English curriculum.
- Recommendation letters are facultative but can contribute positively to the evaluation
- Proof of enrollment in doctoral program (enrolled PhD student) or in a non-academic degree course integrated in the educational project of a higher education;
- Degree certificate;
Announcement of the results:
An email message with the result of the recruitment process will be sent to each applicant.
Application submission and deadline:
All applications must be sent by e-mail to: Este endereço de email está protegido contra piratas. Necessita ter o JavaScript autorizado para o visualizar. until the 15nd of October 2021. The subject of the email should be: ARDITI-MTL-002
Notes:
- The selection process will be based on the principle of non-discrimination in respect of gender, age, nationality, religion, racial group, or any other possible discriminatory issue. Selection will be made only based on merit and following the European Charter for Researchers, the Code of Conduct for the Recruitment of Researchers (Commission Recommendation, Brussels, 11.3.2005, 2005/251/EC) and the recommendations from the San Francisco Declaration on Research Assessment (DORA).
- ARDITI is a recognized “refugee welcoming organization" by the European Commission, follows the European Charter for Researchers and welcomes applications from all qualified individuals.
- The deadline for application may be extended at any time without previous notice having in mind the requirements for the positions under this call.
