Artificial Intelligence; Multi-Agent Systems
Work description
The training area of the scholarship is Artificial Intelligence, with a focus on the study of approaches that facilitate the integration of tools typically used in industry, such as simulation, planning and/or optimisation tools and models, with new approaches to industrial AI, namely those based on agents and Multi-Agent Systems. The main objective is to contribute to the creation of interfaces that allow natural interaction with these types of systems, and their use by agents in the form of tools. Specifically, the main activities to be carried out by the grant holder are: - To analyse the state of the art of current approaches to the development and integration of tools with agents; - To contribute to the development of interfaces that allow agents to interact naturally with information systems and typical tools in the industrial area, such as simulation, planning or optimisation tools; - Researching, identifying, evaluating and implementing methods to minimise hallucinations and guarantee the quality of results; - Collaborating in the development and validation in a real scenario of the tool developed; - Collaborate in the writing of technical-scientific documents and the writing of the scholarship activity report.
Academic Qualifications
- Degree in computer engineering, information systems, or related field;
Minimum profile required
- Average of bachelor's degree higher than 12;
Preference factors
- Experience in the use and/or integration of simulation and optimisation tools; - Experience in developing agents and multi-agent systems.
Application Period
Since 05 Jun 2025 to 20 Jun 2025
Centre
Enterprise Systems Engineering