Humanist Discussion Group, Vol. 35, No. 412.
Department of Digital Humanities, University of Cologne
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[1] From: Naielia Akela Allen <nallen11@umd.edu>
Subject: iSchool at UMD Faculty Position: Open Rank Lecturer Data Visualization (43)
[2] From: TERRAS Melissa <M.Terras@ed.ac.uk>
Subject: 2 year Postdoctoral Research Fellow in Text and Data Mining, Edinburgh - Please share (70)
--[1]------------------------------------------------------------------------
Date: 2021-12-16 13:53:18+00:00
From: Naielia Akela Allen <nallen11@umd.edu>
Subject: iSchool at UMD Faculty Position: Open Rank Lecturer Data Visualization
The College of Information Studies at the University of Maryland, College
Park (UMD’s iSchool), invites applications for a full-time lecturer who is
highly competent, energetic, collegial, and flexible to join our exciting
environment. As a lecturer in the iSchool, you will work closely with
undergraduate and graduate students by teaching three classes per semester
(fall and spring), participate in review and development of program and
course curricula, and actively participate in the life of the college and
university as a full member of the faculty.
Successful candidates will have expertise and interests in areas such as,
but not limited to:
- Data visualization, including visualization, interactive visualization,
information visualization, scientific visualization;
- Visual analytics, including visual analysis, progressive analytics,
visual reasoning, analytical reasoning, immersive analytics; or
- Visual data exploration, including exploratory data analysis, graphical
inference, statistical graphics
Possible course assignments include: Introduction to Data Visualization,
Data Visualization, Visual Analytics, Decision-Making for Information
Science, and Big Data Analysis & Visualization.
While these areas of expertise and courses are of particular interest,
candidates with expertise and interest in any data visualization topics are
encouraged to apply.
Expected 9-month starting salary of $80,000-$85,000 or 12-month $107,000 -
$113,000 for entry rank at 100% FTE. Actual salary will commensurate with
experience and starting rank.
The expected start date for this position is Fall 2022.
For more information about the position, please visit:
https://ejobs.umd.edu/postings/91031
Naielia Allen | Administrative Coordinator, Faculty Affairs
(she/her/hers)
University of Maryland | College of Information Studies (iSchool)
4161 Fieldhouse Drive (Patuxent Building) | College Park, MD 20742
www.ischool.umd.edu | nallen11@umd.edu
--[2]------------------------------------------------------------------------
Date: 2021-12-16 12:55:19+00:00
From: TERRAS Melissa <M.Terras@ed.ac.uk>
Subject: 2 year Postdoctoral Research Fellow in Text and Data Mining, Edinburgh - Please share
Dear colleagues,
If you could share this job advert with any potential candidates, I would be
very grateful! I’m happy to take questions.
Thanks,
Melissa
---
University of Edinburgh: Postdoctoral Research Fellow in Text and Data Mining
UE07 - £34,304 - £40,927
CAHSS/LLC/EFI
Full time - 35h/week
Fixed Term for 24 months
Closing date: Apply Before 13/01/2022, 17:00
Interviews end January 2022.
The candidate will be expected to make a significant contribution to the
development of TDM methods at the intersection of digital humanities, AI, and
database systems, conduct their own original and independent research and
contribute to the programme of training and research development managed by the
Centre for Data, Culture and Society (CDCS). Based in the School of Literatures,
Languages and Cultures, the post-holder will also be expected to contribute to
departmental activities as well as engaging with the Edinburgh Futures Institute
and the Data Driven Innovation Programme more broadly.
The Opportunity:
Over the last few decades mass digitisation has been transforming the
collections of libraries, archives and museums, and at the same time the
internet and online services have generated huge volumes of textual data. The
volume and quality of available digitised and born digital text now makes
searching and linking data feasible, and new High-Performance Computing (HPC)
environments and analytic frameworks enable researchers to mine large-scale
digital collections effectively. TDM is of strategic importance for the
Edinburgh Future Institute, the CDCS and the School of Languages, Literatures
and Cultures. The post holder will work with academics, external stakeholders,
and other organisations, as well as our students and graduate researchers, to
conduct innovative research across all four of EFI’s strategic themes.
Your skills and attributes for success:
• A PhD qualification in digital humanities, computer science or other relevant
discipline.
• Ability to produce peer-reviewed journal articles and/or substantial work
towards a scholarly monograph or equivalent
• Excellent research vision with a clear plan for a programme that engages the
affordances and potential of text and data mining methodologies with humanities
data Insight into creative processes to synthesise research and innovation
outputs;
• Strong interpersonal and communication skills.
• Excellent IT skills and knowledge of most standard computing packages.
If invited for interview you will be required to evidence your right to work in
the UK. The University is able to sponsor the employment of international
workers in this role. If successful, an international applicant requiring
sponsorship to work in the UK will need to satisfy the UK Home Office’s English
Language requirements and apply for and secure a Skilled Worker Visa.
For more information see
https://elxw.fa.em3.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1001/j
ob/2733
————
Professor Melissa Terras
University of Edinburgh, College of Arts, Humanities and Social Sciences
@melissaterras
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