Job Opportunity: Postdoctoral Researcher in Machine Learning

Leiden University is seeking an enthusiastic and well-qualified postdoctoral researcher in machine learning, in particular classification. The primary objective of this 1.5-year 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. Candidates with an interest in extracting complex networks from geospatial patterns, are particularly invited to apply.

During the appointment, the candidate will integrate within LIACS, the computer science department of Leiden University. LIACS has access to a large number of relevant computing facilities and a wide range of expertises. The candidate will be encouraged to collaborate on projects with other members of the Computational Network Science (CNS, https://cns.liacs.nl) group, the MAPHSA project (https://www.upf.edu/web/maphsa), and from other research groups at LIACS in data science, machine learning, and artificial intelligence. There is also the opportunity for the candidate to participate in (limited) BSc, MSc, and PhD student (co-)supervision.

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