*** Apologies for cross-posting *** We are seeking an engaged and bright PhD student to work with us in the areas of Visual Analytics and Information Visualization. The main focus of the advertised position (ref. HR-2024/1066) includes topics such as Machine Learning, Explainable AI, Network Visualization, Graph Drawing, and Dimensionality Reduction. Research in this doctoral project will involve foundational principles, techniques, and tools for analyzing complex data. The successful candidate will have the opportunity to collaborate with experts across these fields, contributing to the advancement of science and publishing the results in relevant and important revenues. The position is full-time, and the start date is flexible. Strong programming skills (e.g., JavaScript, Python) and experience in developing web-based visualization tools are highly desirable. Please visit the official vacancy website of Linnaeus University for a more detailed description of the topic, formal requirements, and how to apply for this position: https://lnu.se/en/meet-linnaeus-university/work-with-us/vacancies-page/?rmpa... The application deadline is August 15, 2024. Note that a PhD position in Sweden is salaried employment with social benefits. As a doctoral student, you will devote most of your time to doctoral studies and the research projects of which you are a part. Your work may also include teaching or other departmental duties, up to a maximum of 20% of full-time. The PhD thesis must be completed and defended within the official appointment, which may extend up to a maximum of five years (i.e., 4 years of doctoral studies and 1 year of departmental tasks, full-time equivalent). The advertised position will be placed in the ISOVIS research group (https://cs.lnu.se/isovis) led by Prof Andreas Kerren at Linnaeus University, Växjö, which is part of the Department of Computer Science and Media Technology. The research group focuses on exploring and visualizing large and complex information spaces, with a strong emphasis on innovation and academic excellence in fields like Information Visualization and Visual Analytics. Please share this message with any great candidates. --- Claudio D. G. Linhares, Ph.D., Senior Lecturer, Department of Computer Science and Media Technology Linnaeus University, Växjö, Sweden https://lnu.se/personal/claudio.linhares/