Operating systems
Work description
The work plan for this grant includes the following main activities: 1. Collection and cataloguing of data durability errors in open-source applications and systems, including the automation of the processes for searching and classifying these errors. 2. Exploration of large language models (LLMs) to automatically extract relevant information from the collected errors and generate fault injection configurations for the LazyFS system. 3. Design of a DevOps agent based on LLMs, capable of automatically analyzing reports from code repositories (e.g., GitHub) and generating fault injection configurations to test data durability issues in an automated manner. The tasks described in this working plan demand the application and development of concepts and techniques in the area of Software Engineering which are usually introduced in curricular units included in the curricula of the Integrated MSc in Informatics Engineering or the MSc in Informatics Engineering studies.
Academic Qualifications
- BSc Degree in Informatics Engineering.
Minimum profile required
- Knowledge of operating systems.- Knowledge of storage systems.- Experience in researching and cataloguing metadata in open-source repositories.- Proven knowledge and experience in using large language models (LLMs) to understand and automate the extraction of information from reports and complex data, supported by technical evidence (code repositories, projects, functional prototypes, articles, or theses).
Preference factors
- Knowledge on fault-injection frameworks.
Application Period
Since 19 Feb 2026 to 04 Mar 2026
Centre
High-Assurance Software