PhD Candidate in Mining Engineering & AI for Underground Stope Dimensioning Norwegian University of Science and Technology in Norway

PhD opportunity at Norwegian University of Science and Technology (NTNU) in Mining Engineering with a strong AI / machine learning component. The project focuses on developing advanced AI-integrated machine learning models and optimization algorithms for adaptive underground stope dimensioning.

This research is aimed at improving underground safety, increasing resource utilization efficiency, and reducing the environmental footprint of mining operations, with clear relevance to sustainable mining and the UN Sustainable Development Goals.

The position is advertised by Professor Hakan Basarir at NTNU in Trondheim, Norway. The post indicates a fully funded 3-year PhD position within a highly collaborative, international research group.

Ideal applicants should have a background in Mining Engineering, Geotechnical Engineering, Data Science, or a related field, plus strong programming skills in Python and familiarity with scientific / ML libraries such as PyTorch, TensorFlow, or scikit-learn.

Deadline: 10 July 2026.

How to apply: Submit your application through the Jobbnorge vacancy page and follow the instructions in the official posting.