Artificial Intelligence; Computer Vision
Work description
The training area of the scholarship is Artificial Intelligence, with a focus on studying the adoption of AI techniques based on computer vision by industry. This involves the research and development of approaches that facilitate and/or improve the adoption of this type of technology by industry, in order to make it more self-sufficient in implementing practical solutions. Specifically, the main activities to be carried out by the scholarship holder are: - Analysing the state of the art of current self-service AI tools, particularly in the field of computer vision, contributing to the creation of knowledge about good practices and existing examples; - Analysing and specifying requirements for a self-service AI tool for the quality control domain; - Conducting a survey and characterisation of potential support technologies, enabling informed decisions to be made when developing the tool; - Collaborate in the development and validation of the developed tool in a real-world scenario; - Collaborate in the writing of technical-scientific documents and the writing of the activity report.
Academic Qualifications
- Degree in computer engineering or related field;
Minimum profile required
- Degree average above 12.
Preference factors
- Experience in developing Machine Learning computer vision models; - Experience in software development (backend/frontend).
Application Period
Since 12 Dec 2024 to 26 Dec 2024
Centre
Enterprise Systems Engineering