New Job Posting – Chancellor’s Fellowships in Humanities Informatics – ECA

UE08, £44,414 – £52,841 Per Annum

Edinburgh College of Art, College of Arts, Humanities and Social Sciences

35 hours p/w (Full-time)

Fixed term (5 years in duration, with a view review to possible open ended conversion thereafter)

ECA Chancellor’s Fellowships (x2 positions): Humanities Informatics, and Audio Machine Learning


Applications are sought by Edinburgh College of Art for a Chancellor’s Fellowship in Humanities Informatics: applied computing in the Arts and Humanities, designing data-led and data-rich approaches to research questions and data sources that place art, design, language, literature, history, and cultures at the heart of data science. The candidate will have a strong track record and the potential to make a major contribution to the University’s Data Driven Innovation programme, in the areas of research, teaching, and enterprise related to Digital Humanities areas. This post will be an appointment in Design Informatics, within the School of Design, within ECA. The role will contribute to the delivery of a new strategic area in Humanities Informatics within Design Informatics, and also contribute to the College’s priority research theme in Digital and Data.  The Chancellor’s Fellow in Humanities Informatics’ initial focus will be on consolidating their research careers, including through developing research projects and grant applications, attracting external PhD funding, publications, and knowledge exchange and outreach activities.

An ideal candidate will be able to demonstrate high quality outputs and a track record of attracting external funding in Digital Humanities, Humanities, Design, and/or Data Science. Of particular interest are those with experience in acquiring, cleaning, and managing large datasets from diverse sources, including structured and unstructured data. They will have experience working on interdisciplinary research projects that bridge Humanities and applied Data Science, and knowledge of ethical considerations and best practices in Digital Humanities research, particularly in relation to privacy, consent, and data protection. The candidate will be familiar with Digital Humanities methods, including text analysis, digital archives, data visualization, image processing, or geospatial analysis, and be expected to be proficient in programming skills in languages commonly used in data science, such as Python, R, or SQL, as appropriate to their chosen Arts and Humanities domain. They will have familiarity with relevant tools and software packages for data analysis and visualization, and strong analytical and critical-thinking abilities, with a demonstrated ability to formulate research questions and design appropriate methodologies.


Apply Before: 28/08/2023, 23:59


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