PhD Candidate in Machine Learning Approaches to Conservation Condition Needs of Historic Buildings

Develop learning methods to assess conservation needs in historic buildings. The CHARM doctoral project connects computational analysis with sustainable restoration under changing climatic conditions.

Relevant quantitative, computing or engineering master's degree and doctoral admission eligibility. MSCA doctoral-network mobility and prior-degree restrictions apply. Employment is subject to Norwegian export-control assessment. The MSCA mobility limit is 12 months of residence or principal activity in Norway during the 36 months preceding recruitment.