Humanist Discussion Group

Humanist Archives: Oct. 13, 2021, 10:11 a.m. Humanist 35.295 - assoc professorship (Georgetown); postdoc (Vienna)

				
              Humanist Discussion Group, Vol. 35, No. 295.
        Department of Digital Humanities, University of Cologne
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    [1]    From: Leticia Bode <lb871@georgetown.edu>
           Subject: Georgetown associate professor in Data Science and Analytics (70)

    [2]    From: Tara L Andrews <tara.andrews@univie.ac.at>
           Subject: Postdoc position, Digital Humanities / History, University of Vienna (32)


--[1]------------------------------------------------------------------------
        Date: 2021-10-12 13:47:57+00:00
        From: Leticia Bode <lb871@georgetown.edu>
        Subject: Georgetown associate professor in Data Science and Analytics

The Data Science and Analytics program at Georgetown University invites
applications for a tenured faculty position at the rank of Associate
Professor.

We seek candidates with skills and demonstrated research expertise in data
science areas such as machine learning, text as data, large-scale computing
and networks.

Candidates must possess a Ph.D. and have a record of research and teaching
commensurate with Associate Professor rank at Georgetown. Advanced
Assistant Professors will also be considered.

The ideal candidate will be a dynamic leader eager to make
interdisciplinary connections across the Georgetown data science research
community.

We welcome candidates from a variety of academic disciplines, including
data science, mathematics, computer science, computational linguistics,
computational social science, economics, health informatics, information
science and statistics. Applicants may be doing advanced data science work
in a specific discipline we have not identified above.

The successful candidate’s tenure home and teaching will be in the Data
Science and Analytics program located in Georgetown’s Graduate School (
https://analytics.georgetown.edu/). Candidates may also have an affiliation
with another department at Georgetown which can support the candidate’s
research agenda.

The Data Science and Analytics Program provides students with rigorous
training in analytical, computational, mathematical, and statistical
methods and models to prepare them for careers in data science and
analytics. We offer a Master of Science degree in Data Science and
Analytics as well as a BS-MS Degree in Data Science and Analytics.

The Data Science and Analytics Program offers courses in big data and cloud
computing, machine and deep learning, interactive and complex visualization
methods, advanced structures, objects, algorithms, and complexity, text
mining and natural language processing, advanced mathematical and
statistical modeling, databases, and more. (
https://analytics.georgetown.edu/academics/course-descriptions).

The program plans on continued growth in tenure line faculty and aspires to
add a Ph.D. program.

Applicants should provide a letter of application, CV, a research
statement, and a teaching statement. Candidates should provide names and
contact information for three references. The committee will begin
reviewing files on November 1, 2021.

We seek candidates from diverse backgrounds and candidates committed to
making Georgetown a more inclusive community. The University attracts and
enrolls students who bring a rich array of racial and ethnic backgrounds,
genders, disabilities, as well as socioeconomic, international and
combinations of those dimensions. For many of our students, representation
in the classroom is an important institutional value.

Georgetown University is an Equal Opportunity/Affirmative Action Employer
fully dedicated to achieving a diverse faculty and staff.  All qualified
applicants are encouraged to apply and will receive consideration for
employment without regard to race, color, religion, national origin, age,
sex (including pregnancy, gender identity and expression, and sexual
orientation), disability status, protected veteran status, or any other
characteristic protected by law.

If you are a qualified individual with a disability and need a reasonable
accommodation for any part of the application and hiring process, please
click here for more information, or contact the Office of Institutional
Diversity, Equity & Affirmative Action (IDEAA) at (202) 687-4798.

To apply visit http://apply.interfolio.com/96419

--[2]------------------------------------------------------------------------
        Date: 2021-10-12 08:02:41+00:00
        From: Tara L Andrews <tara.andrews@univie.ac.at>
        Subject: Postdoc position, Digital Humanities / History, University of Vienna

Dear colleagues,

The Digital Humanities group within the Institute for History at the University
of Vienna is seeking a post-doctoral assistant. This is a full-time position, to
start in February 2022 and limited to six years; it includes independent
teaching responsibilities of up to 4 SWS (~two classes per semester).

Our group has a strong profile in digital methods for historical research, and a
particular emphasis on the medieval period in a variety of different regions;
current projects within the group include a study of ethical issues around use
of linked open data in GLAM institutions, a digital prosopography of medieval
Georgia, a new edition of the Peterborough Chronicle, continuing work on the
Armenian-language Chronicle of Matthew of Edessa, and most recently an ERC-
funded project, RELEVEN, that focuses on the eastern and northern parts of the
Christian world in the eleventh century and how we can manage the historical
data generated from our sources for this period.

We welcome applications from anyone who has completed their doctorate (or will
have the diploma in hand before February), and who combines digital methods with
the (worldwide) medieval era in their research. For more details about the job
and how to apply, please visit
https://univis.univie.ac.at/ausschreibungstellensuche/flow/bew_ausschreibung-flow?tid=87988.28


Best wishes,
Tara Andrews

--
Univ.-Prof. Dr. Tara L Andrews
Digital Humanities
Institut für Geschichte, Universität Wien
Universitätsring 1, A-1010 Wien


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