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Job ID: 226585


Date Posted Nov. 30, 2023
University INESC TEC
PORTO, Portugal
Department LIAAD
Application Deadline Dec. 17, 2023
Position Start Date Nov. 30, 2023
  • Graduate Student
  • Engineering - Other
    Computer Science

Job reference: AE2023-0462 ( FAIST - LIAAD )
INESC TEC - Instituto de Engenharia de Sistemas e Computadores, Tecnologia e Ciência
Job/position/grant: RESEARCHER
City: Porto
Research field: Main: COMPUTER SCIENCE
Sub: Programming,Computer Systems,Informatics
Job summary:
INESC TEC is accepting applications for 1 RESEARCHER job in the Machine Learning and Data Mining
Project: Fábrica Ágil Inteligente Sustentável e Tecnológica
Scientific Advisor: Ricardo Teixeira Sousa
Start Date: 2024-01-15
Location: INESC TEC, Porto, Portugal
Job description:
Work Area: Machine Learning and Data Mining
Project overview: Execution of project activities and knowledge enhancement, preparation of R&D project applications, scientific production
oriented to international journals and conferences, intervention in the scientific and professional communities, as well as participation in
scientific and technological dissemination initiatives, particularly in the area of Computer Science.
Objectives: - Participate in the specifications for a performance evaluation system in the Footwear Industry.
- Develop advanced Machine Learning models of behavior;
- Participate in the integration of models developed in a relevant environment;

Academic Qualifications: Master on Informatics Engineering or similar
Minimum profile required: Relevant programming experience. Fluency in English, spoken and written.
Preference factors: Previous participation in R&D projects. Being able to use portuguese as a study language is important.
Knowledge of Python and development tools (e.g. GIT).

Funding Entity: FAIST funded by IAPMEI with reference 66 Co-financed by Component 5 - Capitalization and Business Innovation, integrated in the Resilience Dimension of the Recovery and Resilience Plan within the scope of the Recovery and Resilience Mechanism (MRR) of the European Union (EU), framed in the Next Generation EU,
for the period 2021 - 2026.
Type of contract: Uncertain term contract
The hiring shall be governed by what is stipulated in the legislation in force regarding uncertain term employment contracts and by INESC TEC

Selection criteria: The selection of the candidates will be based on the following criteria, in descending order of consideration:
a) Relevant Curriculum in the concerned field of this tender
b) Proven experience.
Selection Jury: President of the Jury: Ricardo Teixeira Sousa;
Member: Alípio Jorge;
Member: João Mendes Moreira;
Notification of results: The results of the selection process will be sent to the interested by electronic mail.
Application period: From 2023-11-30 to 2023-12-17
Application submission: Electronic form filling in in the section Work with Us

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