PhD student in Computer and Information Science
Linnéuniversitetet / Högskolejobb / Växjö
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hela Sverige Welcome to Linnaeus University! We meet the societal challenges of today and tomorrow in a spirit of openness, curiosity and creativity. By creating arenas for exchange of knowledge from different subjects, fields and cultures, we open up for new ideas and create new opportunities for long-term sustainable societal development. Linnaeus University - where people grow.
The Department of Cultural Sciences is a multidisciplinary department, where library and information science is one of the subjects, along with history, archaeology, religious studies, geography, and cultural sociology. The department constitutes a creative research environment with interdisciplinary centres in the fields of colonial and postcolonial studies and global humanities. The subject of library and information science constitutes a thriving academic environment, with currently ten active researchers and teachers employed. The subject offers bachelor's and master's programmes in library and information science and digital humanities.
The Faculty of Arts and Humanities at Linnaeus University invite applications for a doctoral studentship in Computer and Information Science at the Department of Cultural Sciences, in collaboration with the Department of Computer Science and Media Technology at the Faculty of Technology. The studentship is part of the WASP-HS National Graduate School, a national research school financed by the Wallenberg Foundation.
Admitted to: Computer and Information Science
Location: Linnaeus University is located in Växjö and Kalmar, and the location for the position is Växjö. Doctoral students on studentships are expected to participate in department- and faculty-wide activities at both locations.
Type and terms of employment:
The employment as a doctoral student is limited according to chapter 5, section 7 of the Higher Education Ordinance. The total employment period may not be longer than the equivalent full-time postgraduate studies of four years. The Higher Education Ordinance states that those who are employed as PhD students must primarily engage in their own education. However, an employee may to limited extent work with education and administration. Such work may, before the doctoral degree has been completed, not cover more than 20% of full-time work.
Start: 15 August 2023
Work description
The doctoral student will pursue graduate studies in the field of Computer Science, Information Science, Data Science, specialization in Digital Humanities, with a doctoral degree as the goal. He/She will also conduct research in the field of Computer and Information Science with a particular focus on the areas of artificial intelligence in archives. The doctoral student will have the option to transfer to Library and Information Science as soon as the discipline is approved for third cycle studies.
Artificial intelligence (AI) describes a variety of digital technologies and methods for automated information processing and data mining. The processing power of AI has even been leveraged in the cultural heritage sector (thereon CHS). Emerging AI practices within the CHS are generally promising and include image and textual analysis, classification, and user experience. However, technologies adopted by the CHS are often led by private companies, leading to tools such as those using AI being inscribed with specific epistemologies, perspectives, priorities, and consequences that are dissonant with institutions where they are adopted. AI development is rarely driven by professional principles grounded in the CHS. Research should set out to integrate principles, priorities, and problematics of archival sciences into AI. An archival AI could serve institutional needs, provide innovative insights in humane AI development, and benefit society at large by improving access, representation, and credibility.
The doctoral student will participate in research and teaching activities at the Department, including the Digital Humanities Master Programme coordinated by the Department of Cultural Science at the Faculty of Arts and Humanities. He/She will be actively involved in the national WASP-HS National Graduate School. The WASP-HS National Graduate School is a national research school financed by the Wallenberg Foundation. It is aimed to contribute to the diversity and inclusion of AI-related expertise and, as such, strengthen Sweden's and Europe's much-needed understanding of the challenges and consequences of autonomous systems and AI in society. More information about the doctoral studies in Computer and Information Sciences can be found at the URL below:
https://lnu.se/contentassets/1a094470c50e4b668864e31f000f86bf/asp-computerand-Information-science.pdfFor information on eligibility requirements, assessment criteria, instructions for the application and information on contact persons, please visit Linnaeus University's job vacancies webpage where the advertisement can be found in its entirety.
Welcome with your application according to instructions at the latest 21 May 2023.
Linnaeus University has the ambition to utilize the qualities that an even gender distribution and diversity brings to the organization.
Please apply by clicking on the Apply button at the bottom of the ad. Applicants are requested to the application resolving CV, cover letter , a copy of a relevant essay , grades and certificates and other relevant documents. The applicant also requested to submit with their application a proposed research plan within the current area of research. All documents must be attached to digital in the application. The application and other documents shall be marked with the reference number. All documents cited must be received by the University no later than 24.00 (Local time in Sweden) on the closing day.
Ersättning Fast lön enligt lokalt kollektivavtal för doktorandlöner.
Så ansöker du Sista dag att ansöka är 2023-05-21
Klicka på denna länk för att göra din ansökan Omfattning Detta är ett heltidsjobb.
Arbetsgivare Linnéuniversitetet (org.nr 202100-6271),
http://www.lnu.se Jobbnummer 7675112
Observera att sista ansökningsdag har passerat.