24 machine-learning-phd scholarships at University of Groningen

PhD position Computational Approaches to Narrative in Argumentation (1.0 FTE)

) • applicants should hold a master's degree or be in the process of completing it (before September 2024) • proficiency in Natural Language Processing (NLP) and familiarity with Machine Learning (ML) in Python

PhD position Computational Approaches to Narrative in Argumentation (1.0 FTE)

Language Processing (NLP) and familiarity with Machine Learning (ML) in Python • good academic writing skills in English • the willingness to move and reside in the Netherlands. Candidates with the following additional

PhD position in Arctic Landscape Archaeology (1.0 FTE)

phenomenology of land-, sea- and icescapes; and/or (3) remote-sensing-based machine-learning applications for archaeological modeling and survey. Importantly, this work will be carried out in close cooperation

PhD on the Legal Aspects of Indigenous Subsistence Harvesting in the Arctic (1.0 FTE)

phenomenology of land-, sea- and icescapes; and/or (3) remote-sensing-based machine-learning applications for archaeological modeling and survey. Importantly, this work will be carried out in close cooperation

PhD position in Arctic Landscape Archaeology (1.0 FTE)

vis-à-vis changing environmental/climatic conditions; (2) analysis of viewsheds and the phenomenology of land-, sea- and icescapes; and/or (3) remote-sensing-based machine-learning applications

PhD position on the topic The Relationship between Health and Environment

-sectional and longitudinal econometrics and machine learning techniques to determine the relationship between environmental stressors and population health. This project is part of a larger project ECOTIP

PhD in Low-Resource Natural Language Processing & Computational Modeling of Language Learning (1.0)

Applications are invited for a 4-year salaried PhD position within the research project “Polyglot Machines: Human-like Learning of Morphologically Rich Languages”, financed by a NWO-VIDI Talent

PhD position on the topic The Relationship between Health and Environment

different levels of the environmental stress index. In addition, it will employ cross-sectional and longitudinal econometrics and machine learning techniques to determine the relationship between

PhD in distributed digital twins (1.0 FTE)

proposes a solution to the coordination and management of distributed DTs. A machine learning enhanced digital twin technology is proposed to facilitate the coordination in and across operational silos

PhD in Low-Resource Natural Language Processing & Computational Modeling of Language Learning (1.0)

PhD position within the research project “Polyglot Machines: Human-like Learning of Morphologically Rich Languages”, financed by a NWO-VIDI Talent Grant and coordinated by Principal Investigator (PI) dr