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[Commlist] Tallinn University seeks 5 research fellows in cultural data analytics
Wed Feb 19 23:19:02 GMT 2020
Job opening at Tallinn University for 5 Research Fellows in Cultural
Tallinn University has announced an open competition for five positions
of Research Fellow in Cultural Data Analytics in H2020 funded ERA Chair
Start of the employment contract is negotiable: between 15.06.2020-
The duration of the contract is 3 years.
Funded through the European Commission, the designated CUDAN ERA Chair
holder, Professor Maximilian Schich, together with the CUDAN project
team, the Baltic Film, Media, Arts and Communication School, the School
of Humanities, and the School of Digital Technologies at Tallinn
University, is looking for research fellows in the area of Cultural Data
Analytics to deepen our understanding of the nature of cultural
interaction, cultural dynamics, and cultural evolution, doing research
while nurturing multidisciplinary cross-fertilization. Through this
recruiting, the CUDAN project will bring together a group of at least 5
research fellows and 5 PhD students to harness the rare
high-risk/high-gain opportunity of combining multidisciplinary science,
computation, information design, with art and cultural history, cultural
media studies, and cultural semiotics, in close collaboration and
co-authorship. The newly established research group will form the core
of the CUDAN Open Lab, which, in addition to research, aims to function
as a forum for intellectual exchange, and as an incubator for follow-up
projects. Ideally, the research fellows contribute aspects of network
science, complexity science, science of science, computational social
science, machine learning/AI, information science, data science, data
visualization, user experience design, and/or digital humanities to the
locally existing expertise in art and cultural history, cultural media
studies, cultural semiotics, and digital technology. Beyond the local
environment, the CUDAN initiative will also provide the research fellows
and PhD students with the opportunity to work closely with high-profile
external partners in multidisciplinary science, cultural heritage
institutions, and stakeholders in the cultural industries in Estonia, in
Europe, and around the globe. More information on the CUDAN project, see
We are particularly interested to work on the following research challenges:
• Using machine learning to analyze images and/or audio-visual material
over historical time scales, to reveal patterns and biases in large data
collections through a kind of “artificial neural science”.
• Using linguistic topic modelling and/or bi-partite network science to
analyze the structure and evolution of large corpora of texts and/or
classifications, feeding into a “palaeontology of memes”.
• Using temporal multilayer network analysis and/or topological data
analysis to make sense of large cultural knowledge graphs, through
capturing fundamental emerging patterns of “network multiplicity”.
• Combining the analysis of multimedia, unstructured, and structured
data in a so-called embed-everything-approach that could result in a
kind of “multidimensional fluid-dynamics of meaning”.
In addition, we aim to nurture the Cultural Analytics community through
addressing the following challenges:
• Mapping and characterizing the achievements, opportunities, and
limits of Cultural Data Analytics, ideally resulting in actionable maps
of the relevant “multidisciplinary ski area”.
• Enabling and optimizing the CUDAN Open Lab experience through a
conscious effort of user experience design, observing and designing
workflows, events, and other forms of intentional “academic mixing”.
Candidates that are motivated and have the capacity to spearhead one of
these aspects are strongly encouraged to apply!
Requirements for the candidate (incl. professional experience)
• The ideal candidate has a PhD in a field closely related to Cultural
Data Analytics, with expertise in quantification, computation, and/or
visualization, ideally including previous working experience with
large-scale socio-cultural data.
• The individual focus could be in machine learning/AI, network
science, topological data analysis, complexity science, science of
science, computational social science, information science, data
visualization, user experience design, and/or digital humanities.
• Candidates with a PhD in a seemingly unrelated field whose methods
could nevertheless be valuable to the CUDAN project will be considered:
Examples include experts in socio-physics, computer vision, species
niche modeling, time-series analysis, or matrix clustering as found in
systems biology and neuroscience.
• The working language of the CUDAN research group is English.
Load: 1,0 The duties are approximately divided in (1) research (90%),
(2) teaching (5%) and (3) internal and external service (5%).
Salary: to be agreed, but internationally competitive.
Location: Tallinn, Estonia.
Language skills: English C1, Estonian is not required; if staying
longer in Estonia, the candidate would need to acquire Estonian as a
working language within 3 years in order to be able to participate in
See the more detailed job advert on Tallinn University webpage:
Additional information about the posts and the application process:
please refer your administrative questions to (konkurss /at/ tlu.ee) and
questions on content to project coordinator for CUDAN Mariliis
Niinemägi, (mariliis.niinemagi /at/ tlu.ee)
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