Postdoctoral Researcher in Machine Learning, for the Project MAPHSA
Offer DescriptionLeiden 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, ) group, the MAPHSA project ( ), 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.Additionally, there are plenty of opportunities for other types of interaction and collaboration within the project, for example with colleagues from the Department of Geoscience & Remote Sensing at Delft University of Technology (TU Delft), and the Faculty of Archaeology at Leiden University.Key responsibilities
RequirementsSpecific RequirementsSelection Criteria
Additional InformationBenefitsResearch at our facultyThe Faculty of Science is a world-class faculty where staff and students work together in a dynamic international environment. It is a faculty where personal and academic development are top priorities. Our people are committed to expand fundamental knowledge by curiosity and to look beyond the borders of their own discipline; their aim is to benefit science, and to contribute to addressing the major societal challenges of the future.The research carried out at the Faculty of Science is very diverse, ranging from mathematics, information science, astronomy, physics, chemistry and bio-pharmaceutical sciences to biology and environmental sciences. The research activities are organised in eight institutes. These institutes offer eight bachelor’s and twelve master’s programmes. The faculty has grown strongly in recent years and now has more than 2.300 staff and almost 5,000 students. We are located at the heart of Leiden’s Bio Science Park, one of Europe’s biggest science parks, where university and business life come together. For more information, see and .
The Leiden Institute of Advanced Computer Science (LIACS) is the Artificial Intelligence and Computer Science Institute in the Faculty of Science of Leiden University. We offer courses at the Bachelor and Master of Science level in Artificial Intelligence, Computer Science, ICT in Business, Media Technology, and Bioinformatics. According to an independent research visitation, we are one of the foremost computer science departments of the Netherlands. We strive for excellence in a caring institute, where excellence, fun, and diversity go hand in hand. We offer a clear and inviting career path to young and talented scientists with the ambition to grow. For more information about LIACS, seeTerms and conditions Only applications received before 30 April, 2024 can be considered.Additional commentsInformation
Enquiries can be made to Sebastian Fajardo, . If you have any questions about the procedure, please contact Anne-Marie Alleblas, email: . Website for additional job detailsWork Location(s)Number of offers available 1 Company/Institute Universiteit Leiden Country Netherlands City Leiden Postal Code 2311EZ Street Rapenburg 70 GeofieldWhere to apply WebsiteContact CityLeiden WebsiteStreetRapenburg 70 Postal Code2311 EZSTATUS: EXPIRED
€3226 – 5090 per month
Leiden, Zuid-Holland
Wed, 06 Mar 2024 23:57:01 GMT
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