Assistant Professor, Data Science / Digital Scholasrhip, Rhode Island
« Torna all'elenco
Inserito il 09/02/2017
Assistant Professor, Data Science / Digital Scholarship, University of
Rhode Island (URI) Harrington School of Communication and Media —
Applications Due 3/15/17
(Full details and application instructions at:
https://jobs.uri.edu/postings/2148)
URI’s Harrington School of Communication and Media seeks a tenure-track
Assistant Professor with a record of research in data science / digital
scholarship to enhance the University’s new data and technology focus.
Applicants should have familiarity and experience with computationally
intensive research as well as a track record of teaching and scholarship,
and demonstrated potential for funded research leadership. This position
will also contribute to the new directions of the Graduate School of
Library and Information Studies (GSLIS), creating and teaching new
high-demand and interdisciplinary courses in the Harrington School of
Communication and Media.
This is a 9-month continuing tenure-track faculty appointment, expected to
begin August 1, 2017. This position reports to the Director, Harrington
School of Communication and Media. Annual reviews and recommendations for
tenure and promotion will be conducted by the Harrington School of
Communication and Media. This position is co-funded by the URI Libraries,
so the Dean of URI Libraries will have input into annual review and
promotion and tenure, particularly with regard to the candidate’s research
program.
Located near Rhode Island’s famous shoreline and within easy traveling
distance from Boston and New York City, the University of Rhode Island is a
Land-, Sea-, and Urban-Grant institution and is a top-tier research
university. This position resides in the University’s Harrington School of
Communication and Media, which boasts an intellectually diverse community
of 60 scholars, teachers, and practitioners, who deliver seven degree
programs across five academic units. Recently the Harrington School
completed construction on a $6.5 million, cutting-edge communication and
media facility, in which candidates for this position can work and teach.
Duties and Responsibilities
Primarily teach courses in the Graduate School of Library and Information
Studies and possibly other academic units in the Harrington School.
Develop courses in data science / digital scholarship both within GSLIS and
in collaboration with faculty across campus.
Through teaching, research, and service, continue to foster strategic
innovation and excellence in the Master in Library and Information Studies
(MLIS) program.
Advise and mentor students
Work with colleagues across the University and with the Dean of University
Libraries. Contribute to the advancement of their field, and work with
peers to advance the use of data-oriented computational and statistical
methods in diverse fields of scholarship through interdisciplinary
partnerships.
In collaboration with the Dean of University Libraries and the Dean of the
College of Arts and Sciences, develop a program of research in data science
/ digital scholarship that is supported by external funding.
________________________________________________________________________________
Qualifications
Required:
1. Earned Ph.D. by appointment date in library and information science,
mathematics, statistics, computer science, computational sciences and
informatics or related discipline.
2. Demonstrated record of research in data science/digital scholarship.
3. Demonstrated ability to develop and sustain an externally-funded
research program.
4. Demonstrated ability to place publications in high-impact venues.
5. Demonstrated evidence of teaching experience.
6. Demonstrated experience working with diverse groups/individuals.
Preferred:
1. Preference will be given to candidates who can contribute and strengthen
interdisciplinary programs in one or more: data science, big data,
information, communication, or media studies.
2. Demonstrated ability to secure external funding.
3. Experience with one or more in high performance computing, information
storage and retrieval methods, geospatial information systems, machine
learning, managing scholarship involving large volumes of evolving data,
and data visualization.
ALL REQUIREMENTS ARE SUBJECT TO POSSIBLE MODIFICATION TO REASONABLY
ACCOMMODATE INDIVIDUALS WITH DISABILITIES.
Applications must be received by March 15, 2017.
(Full details and application instructions at:
https://jobs.uri.edu/postings/2148)
from "HUMANIST"
