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Humanist Discussion Group, Vol. 33, No. 231.
Department of Digital Humanities, King's College London
Hosted by King's Digital Lab
www.dhhumanist.org
Submit to: humanist@dhhumanist.org
Date: 2019-09-06 11:00:51+00:00
From: Peeter Tinits
Subject: Post-doc second call: historical text-mining (Tartu, Estonia)
Hi,
Second call for a post-doc - deadline Sep 16.
We're looking for someone with textmining skills and interested in
historical data. We're happy to help with application procedure if the
interest is real.
Info here https://euraxess.ec.europa.eu/jobs/423402, and copied below.
Share with anyone interested, thanks!
Best,
Peeter
-----------------
Post-doc: Measuring the Evolution of Industrial Modernity (1900-2018)
Starting at 01.11.2019, temporary contract to 31.10.2021
Application deadline: 16.09.2019
Full time
Tartu, Estonia
https://euraxess.ec.europa.eu/jobs/423402
A research group in a University of Tartu, Estonia, is looking for a
postdoctoral researcher to join us in studying the evolution of industrial
modernity. The project is based on the Deep Transitions framework*
that aims to conceptualize the 250-year developmental trajectory of industrial
societies through the co-evolution of socio-technical systems. The key
questions our team seeks to answer are as follows: 1) What are the
foundational features of industrial modernity, characterizing almost every
industrial society to date, that have shaped its evolution? 2) Do we see
some significant ruptures along these dimensions in recent decades?
The candidate will be a part of the team tasked with measuring long-term
trends in the historical evolution of industrial societies along multiple
dimensions (ideas, institutions, and practices) and on multiple scales
(national, global). The project seeks to combine data from existing
databases with analysis of digitized text corpora. Therefore, we are
looking for a candidate with 1) competence in data analysis skills
applicable to the analysis of large historical text collections; 2)
methodological creativity in finding ways to utilize text corpora for
tracking long-term societal trends.
The research group is highly interdisciplinary, involving (among others)
experts from sustainability transitions studies, digital humanities,
history and environmental sociology. As such applicants from diverse
backgrounds are welcome to apply.
The position is funded by the Estonian Science Council and is part of the
project "Reshaping Estonian energy, mobility and telecommunications systems
on the verge of the Second Deep Transition".
The researcher is expected to engage in the following tasks, some of which
involve close collaboration with other team members:
- Operationalizing the features of industrial modernity in order to
track them in historical data.
- Extracting text corpora from public sources, organizing and storing
them.
- Cleaning and processing historical OCR texts and preparing them for
analysis.
- Assisting in designing and formulating collaborative procedures and
workflows to study the representations of industrial modernity in
historical texts utilizing the interdisciplinary domain expertise in the
group.
- Conducting data analysis and text mining on historical corpora through
various techniques, interpreting and integrating the results.
- Representing the findings in thematic conferences and participating in
the write-up of the results for journal submission.
See also the general job requirements for the University of Tartu
(https://webdesktop.ut.ee/wd/?page=pub_get_ttxt_dokv_file&pid=39498046&lang=eng&
u=20190702145609&desktop=57835&r_url=%2Fwd%2F%3Fpage%3Dpub_list_dynobj%26pid%3D%
26tid%3D69329%26u%3D20190702145609)
(Research Fellow, pages 6 and Annex 8, page 20)
Required qualifications
- PhD degree or equivalent research qualification.
- See also requirements for teaching and research staff
(https://dok.ut.ee/wd/?page=pub_get_ttxt_dokv_file&pid=39498046&lang=eng&u=20
180328103150&desktop=57835&r_url=%2Fwd%2F%3Fpage%3Dpub_list_dynobj%26pid%3D%26ti
d%3D69329%26u%3D20180328103150)
.
Required experience
Essential Experience in at least two of the following areas:
- Gathering and maintaining large digital corpora for text mining
- Applying NLP on historical OCR texts
- Keyword extraction, topic modeling, sentiment analysis
- Automatic content extraction and text classification
- Time series analysis of large text collections
- Cultural analytic studies based on large text collection
In addition:
- Readiness to learn new techniques as needed
- Excellent oral and written proficiency in English
- Independent, creative and critical thinking, capability to cope with
uncertainty.
Desirable but not essential
- Prior experience in studying long-term trends with quantitative tools
- Disciplinary background in fields that have engaged in long-term and
macro-level research (e.g. cultural evolution, digital humanities,
historical macro-sociology, economic history, economic geography,
computational history)
- Disciplinary background in fields that have focused on the study of
technology and society (e.g. history of science and technology, Science and
Technology Studies, media and communication studies, innovation studies)
- Working knowledge in sustainability transitions and long wave
literature.
Required language skills
- Excellent oral and written proficiency in English.
Period
- Starting at 01.11.2019, temporary contract to 31.10.2021
Salary
- 25,000-28,000 eur per annum gross per month depending on skills level.
- See also UT salary rules
.
Additional info
The research group is highly interdisciplinary, involving (among others)
experts from sustainability transitions studies, digital humanities,
history and environmental sociology. As such applicants from diverse
backgrounds are welcome to apply.
The position is funded by the Estonian Science Council and is part of the
project "Reshaping Estonian energy, mobility and telecommunications systems
on the verge of the Second Deep Transition".
-----
*
Schot & Kanger, 2018 (https://www.sciencedirect.com/science/article/pii/S0048733318300593);
Kanger & Schot, 2018 (https://www.sciencedirect.com/science/article/pii/S2210422417301892)
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