PhD Fellow: ML, Statistics & Synthetic Data Privacy

University of Oslo; Norway; On-site; NOK 520,000 - 640,000; Full time

Job summary

University of Oslo invites applications for a doctoral research fellow in Machine Learning and Statistics. The position offers integration with Integreat and a collaborative, interdisciplinary research environment focused on mentoring and career development.

The project develops deep learning based synthetic data generators emphasizing privacy and fairness, at the intersection of ML, statistics and ethics, affiliated with the Statistics and Data Science group in the Department of Mathematics,

Qualifications

• Strong background in machine learning and statistics.
• Interest in privacy-preserving synthetic data and fairness.
• Willingness to collaborate across disciplines.

Responsibilities

• Contribute to development of deep learning based synthetic data generators.
• Assess privacy, fairness and utility of proposed methods.
• Engage in mentoring and career development within the group.

Skills

Machine Learning

Statistics

Privacy

Deep Learning

Ethics

Education

PhD in ML/Statistics

Job description

University of Oslo invites applications for a doctoral research fellow in Machine Learning and Statistics. The position offers integration with Integreat and a collaborative, interdisciplinary research environment focused on mentoring and career development.

The project develops deep learning based synthetic data generators emphasizing privacy and fairness, at the intersection of ML, statistics and ethics, affiliated with the Statistics and Data Science group in the Department of Mathematics,