Artificial Intelligence; Information Management
Work description
The training area of the scholarship is Artificial Intelligence, with a focus on the study of NLP and Generative AI techniques and their potential to improve the processes of analysing and specifying industrial information systems. This involves the study of datasets, models (including multi-modal models) and benchmarks that make it possible to optimise some of the tasks involved, such as drawing or interpreting diagrams, or generating, interpreting or using text (e.g. semantic search, summarisation, explanation). Specifically, the main activities to be carried out by the grant holder are: - Systematically analysing and characterising the typical structure and content of the technical documentation to be used as input; - Analysing and specifying requirements to support the development of a RAG (Retrieval Augmented Generation) tool that meets the needs of process owners, ERP or MES system implementers and other stakeholders; - Carry out a survey and characterisation of potential support technologies, enabling informed decisions to be made on the development of the tool; - Collaborating in the development and validation of the tool developed in a real-world scenario; - Collaborate in the writing of technical-scientific documents and the writing of the scholarship activity report.
Academic Qualifications
- Degree in computer engineering or related field;
Minimum profile required
- Degree average of over 12.
Preference factors
- Experience in using NLP tools and approaches; - Experience in software development (backend/frontend).
Application Period
Since 23 Jan 2025 to 05 Feb 2025
Centre
Enterprise Systems Engineering