[Air-L] position in fair and responsible Data Science, Rutgers iSchool

[Rebecca Reynolds]

Hi all,

The Library and Information Science (LIS) Department in the School of
Communication and Information (SC&I) at Rutgers University, New Brunswick,
invites applications for a Data Science tenure track appointment as part of
a larger interdisciplinary Fair and Responsible Data Science (FRDS) cluster
hire at Rutgers supported by the Rutgers Presidential Diversity Hiring
Initiative.


Job ad: https://jobs.rutgers.edu/postings/205854


Other Rutgers units hiring in FRDS include School of Arts and Sciences
(Computer Science and Statistics) and Engineering. Information about the
university FRDS initiative may be found at:
https://academicaffairs.rutgers.edu/strategic-diversity-cluster-hires.


Across the School of Communication and Information’s 75 full time
equivalent faculty, about 20 focus on scholarship related to FRDS. The LIS
department is a founding member of the *iSchools* Consortium and has a
research and learning culture that is inclusive, diverse, and cohesive,
international in scope and local in impact. The LIS tenure-track/tenured
appointment in Fair and Responsible Data Science may be at the Assistant
Professor, Associate Professor or Full Professor levels.


Hiring Criteria:

· Ideal candidates would be world-class data science researchers who
advance the field of human-centric data science with novel technical and
social innovations and/or apply data science to novel contexts in fields
related to communication, information, and media.

· Such candidates would have a track record of scholarship and technical
expertise in fields such as responsible AI, algorithmic fairness,
information visualization, network science, and/or designing novel
data-driven frameworks in contexts such as social computing, wearable
computing, health computing, misinformation, privacy, etc. Faculty hired in
Data Science will be well positioned to lead externally funded research
projects in such areas.

· Ideal candidates would be methodologically rigorous and adept at bringing
core data science ideas to fruition in interdisciplinary settings.
Candidates who transcend traditional research topics, complement our
faculty’s strengths, and can teach across our undergraduate and graduate
programs are highly sought for application.

· Candidates should speak to their record of engagement, accomplishment,
and / or potential for academic, professional, and/or institutional work
undertaken to advance diversity, equity, and inclusion either in their
cover letter or in a separate written diversity statement. Through this
initiative, we will strongly emphasize hiring faculty who can help advance
diversity, equity, and inclusion at Rutgers and especially in enhancing DEI
in STEM. The University Statement on Diversity can be found here.
https://diversity.rutgers.edu/university-plan/university-diversity-goal.

Please see our job ad for details and help spread the news!
Job ad: https://jobs.rutgers.edu/postings/205854

------------------------------------
Rebecca B. Reynolds, Ph.D. (she/her)
Associate Professor
Department Chair
Rutgers University School of Communication & Information
Dept. of Library & Information Science
Co-Founder and Co-Editor, *Information and Learning Sciences
<https://www.emeraldgrouppublishing.com/products/journals/journals.htm?id=ILS>*
 journal
https://comminfo.rutgers.edu/reynolds-rebecca
rbreynol at comminfo.rutgers.edu
@rebeccreyn at mstdn.social