Leiden University is seeking an enthusiastic and well-qualified postdoctoral researcher in machine learning, in particular classification. The primary objective of this position is to develop a method for identifying endangered heritage sites in forested mountains of South America, and to make contributions to the fields of computer science / machine learning and/or computational archeology. The position is part of the Mapping Pre-Columbian Heritage in South America (MAPHSA) project. The project seeks to identify, assess preservation, and develop automated methods for detecting threatened archaeological sites, supporting monitoring efforts by local heritage authorities and stakeholders. The candidate will leverage multi-spectral airborne laser scanning and multi-spectral satellite image data to develop machine learning methods for earthwork feature and tree species classification using input features selection, data fusion, pixel/object-based classification, and multilevel classification system methods. Reference data will be derived from legacy data, field sampling, and high-resolution digital/imaging interpretation.
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[Website Leiden University]