Fully Funded PhD in Data Science / Machine Learning for Ensemble Feature Selection Reykjavik University in United Kingdom

Reykjavik University is advertising a fully funded PhD position in data science / machine learning within the Department of Computer Science. The project focuses on ensemble feature selection for supervised learning, making it a strong fit for applicants interested in machine learning methodology, feature selection, and data-driven research.

The position is announced by Christoph Lohrmann, Assistant Professor at Reykjavik University. The post indicates that the doctoral studies are fully funded for 3 years, including salary. The opportunity is aimed at a motivated PhD candidate with a strong background in data science / machine learning or a closely related field, and an MSc is mentioned as a relevant qualification.

This is a research-oriented opening for candidates who want to work on supervised learning methods and feature selection techniques in a computer science environment. The post does not mention a deadline, so interested applicants should review the linked job posting promptly for the formal application instructions and any additional eligibility details.

Institution: Reykjavik University, Iceland
Field keywords: data science, machine learning, ensemble feature selection, supervised learning, computer science
Funding: fully funded for 3 years, including salary