Inteligência Artificial, Machine Learning
Work description
The training area of the scholarship is Artificial Intelligence, with a focus on Machine Learning, and in particular the development of datasets, evaluation benchmarks and fine-tuning of models for specific tasks / domains. The area of application of the grant holder's contributions will be industry. It is therefore hoped that this scholarship will contribute to the adoption of language models and/or multi-modal models by industry, especially in specific, high-value tasks that may not be covered by proprietary, pay-as-you-go models. Specifically, the main activities to be carried out by the grant holder are: - Identifying and characterising typical, high-value tasks in industry that could benefit from integration with Generative AI models (e.g. text, vision, multi-modal); - Creation of synthetic datasets and/or acquisition of real datasets for model fine-tuning; - Generation of domain- and/or task-specific evaluation benchmarks for the tasks identified; - Identifying open-source foundational models and fine-tuning models for the tasks identified; - Collaborating in the development and validation of the artefacts developed in a real-life scenario; - Collaborating 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 developing and using evaluation benchmarks; - Experience in fine-tuning and integrating language models and/or multi-modal models.
Application Period
Since 05 Jun 2025 to 20 Jun 2025
Centre
Enterprise Systems Engineering