Research fellowship (field Machine Learning and Computer Vision) for students enrolled in a cycle...

A call is open for the allocation of 1 (one) research fellowship for students enrolled in a cycle of studies leading to a master degree or graduates enrolled in a non-academic degree course (BI) within within the R&D Project “DeepNeuronic”, co-financed by the Portugal 2020 Program (PT 2020), in the framework of the Regional Operational Program of the Center (CENTRO 2020) and the European Union through the Fundo Europeu de Desenvolvimento Regional (FEDER), taking place at the SOCIA Lab. of the Department of Computer Science of the University of Beira Interior - http://socia-lab.di.ubi.pt , under the following conditions:

Research Field: Machine Learning and Computer Vision

Objetives:

This work aims to study, develop, and implement existing and new mechanisms and techniques that allow to reduce the size, accelerate inference time, and optimize the computational power of video-based deep learning models.

Work plan:

-Study of deep learning model optimization frameworks;

-Conceptualization of new processes to optimize deep learning models applied to video

analysis;

-Development, implementation and test of deep learning-based solutions for video

understanding at pixel-level;

-Writing of a technical report, describing all the work carried out in the scope of the

dissertation.

Work location:

The work will be developed at the SOCIA-LAB, Department of Computer Science, University of Beira Interior, R. Marquês D’Avila e Bolama, 6200-001 Covilhã under the scientific supervision of Doctor João Neves ([email protected] ).

Fellowship duration and conditions:

The fellowship is expected to start in October 2022 and ends on 30/06/2023 (current project end date).

The activity is in regime of exclusive dedication in accordance with the .

The fellowship can be renewed, with a favorable opinion from the supervisor, for a total duration of 12 months if the funding entity authorizes the extension of the project's end date.

Receipt of applications:

Applications should be addressed to Doctor João Neves to the email [email protected] , with the subject “DeepNeuronic/BI-2 – Application”

or alternatively to the address:

Doctor João Neves

Departamento de Informática

R. Marquês D’Avila e Bolama

6201-001 Covilhã

Portugal

Documents for application:

The candidates should present:

. Motivation letter;

. Detailed Curriculum Vitae;

. Certificate of completion of the previous degree;

. Other documents considered relevant;

. Declaration of honour from the candidate stating, that he/she meets the conditions for being award the scholarship BI according to Article 6 of the RBIUBI.

Selection Committee:

Applications will be assessed by a panel as follows:

President: Doctor João Carlos Raposo Neves, Assistant Professor of the Faculty of Engineering

Effective members:

Doctor Hugo Pedro Martins Carriço Proença, Full Professor of the Faculty of Engineering

Doctor Pedro Ricardo Morais Inácio, Associate Professor of the Faculty of Engineering

Publication/notification of results:

The final results of the evaluation process will be published in a sorted list, by the final classification obtained, and posted in a visible and public place of the Faculty of Engineering of the University of Beira Interior. The candidate(s) will be notified of the decision by e-mail.