PhD Position in Artificial Intelligence - Synthetic Data Generation, University of Bergen

About the project/work tasks:

Advancements in data-driven models across various fields such as education (learning analytics and Artificial Intelligence in Education) and healthcare have been fuelled by a breadth of large datasets. However, the growing demand for large volumes of data comes with significant challenges, with privacy concerns being among the most critical. Traditional methods such as anonymisation and de-identification have become increasingly vulnerable to attacks, which increases the risk of personal information exposure. In response, synthetic data is emerging as a promising and novel solution providing scientists and researchers with an alternative to real data without compromising privacy or exposing sensitive information.

You will participate in the ASPIRE project (Accelerating Privacy and Data Protection Measures Using Synthetic Data Generation), which aims to develop novel methods for privacy and data protection by leveraging Artificial Intelligence in synthetic data generation. ASPIRE seeks to contribute to a trustworthy framework for secure data exchange and ASPIRE outcomes expect to impact education, healthcare, and artificial intelligence research.

Synthetic data generation is a key driver for the PhD position. You, together with the ASPIRE team, is expected to offer novel perspectives on proposing rigorous privacy guarantees by integrating differential privacy and federated learning with synthetic data. Additionally, an evaluation of the utility of synthetic data to ensure that it remains functional while adding an extra layer of data protection will be carried out.

Your are also expected to:

• be involved in both research and social collaborative work within SLATE
• participate in SLATE activities and contribute to the life of the Centre

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