Computer Science
[Open soon]
Work description
Test GAN models – Compare leading GANs for tabular data, focusing on fairness and attribute consistency. Try LLMs – Use open-source LLMs with prompts adapted for generating tables. Compare quality – Check how well the synthetic data matches real data and supports predictive tasks. Create new metrics – Design metrics that combine statistical similarity with task performance. Publish results – Write and submit a paper to a conference or journal.
Academic Qualifications
BSc in Computer Science, Computer Engineering or similar
Minimum profile required
Enrolled in a Master’s program in the relevant admission area.Knowledge of Machine Learning techniques.
Preference factors
Enrolled in dissertation, project, or another course unit leading to the thesis writing. Grade average above 16. Proven practical experience in programming with R and RStudio. Knowledge of Data Visualisation and Multivariate Analysis.
Application Period
Since 18 Sep 2025 to 01 Oct 2025
[Open soon]
Centre
Advanced Computing Systems