Applications due by January 7, 2021.

Posting link:
https://www.si.umich.edu/about-umsi/prospective-faculty/data-science-tenure-track-professors

Data Science (tenure-track professors, all rank)
Position description:

The School of Information at the University of Michigan (UMSI)
<https://www.si.umich.edu/> seeks tenured or tenure-track professors at the
assistant, associate, or full level in the broad field of data science.
Successful candidates will contribute to the research and service missions
of the school and the university, and will be expected to teach courses
related to applied data science in UMSI’s online and/or residential
programs. We anticipate making up to two hires across the following
overlapping areas of emphasis:
- Machine learning
- Causal inference from big data
- Social media analytics
- Learning analytics
- Healthcare or public health analytics
- Computational social science
- Computational humanities
- Fairness, accountability, and transparency
- Human computation

Job Expectations and Responsibilities
Job duties include research, teaching, and service. Job responsibilities
include but are not limited to:
- Conducting scholarly research resulting in publications in peer reviewed
journals, book chapters, edited books, books, and conference proceedings
- Seeking outside funding to support their research
- Teaching in UMSI’s five academic programs
- Mentoring students for independent studies, master’s projects and theses,
and doctoral dissertations.
- Providing service to the school, University, and the broader academic
community by way of committee work, journal editing, and other various
opportunities
- Each contributing member of the UMSI faculty is expected to have teaching
effort equivalent to three semester-long courses per year.

About UMSI and UM
The mission of the School of Information is to create and share knowledge
to help people use information -- with technology -- to build a better
world. A successful candidate will be committed to, and will directly
contribute to, our goal of being the best research and teaching institution
for the understanding and design of information and its technologies in
service of people and society.

The School is home to vibrant research and teaching programs, with 60 FTE
professors, and over 1,400 students. We offer five degrees: a Ph.D., a
Master of Science in Information, a Master of Health Informatics, a
Bachelor of Science in Information, and an online Master of Applied Data
Science.

Founded in 1817, the University of Michigan has a long and distinguished
history as one of the first public universities in the nation. It is one of
only two public institutions consistently ranked among the nation's top ten
universities. The University has one of the largest health care complexes
in the world and one of the best library systems in the United States. With
more than $1.53 billion in research expenditures annually, the University
has the second largest research expenditure among all universities in the
nation. The University has an annual general fund budget of more than $2.3
billion and an endowment valued at more than $12.5 billion. For more
information about UMSI, please visit: www.si.umich.edu.

Minimum Qualifications:
Ph.D. in an area such as information, computer science, statistics, health
informatics, the humanities, social sciences, or other relevant area
A strong interest in teaching at the undergraduate and graduate levels
A strong commitment to interdisciplinary research and cultural diversity
Desired Qualifications:
A proven record in teaching and research

How to Apply
All applicants should submit a cover letter, a vita, three representative
publications, evidence of teaching excellence if available, a research
statement, a teaching statement, a diversity statement, and three letters
of recommendation. All application materials must be submitted
electronically to: https://apply.interfolio.com/81659

Please direct inquiries about this position to the chair of our faculty
search committee, Paul Resnick ([log in to unmask]).
Consideration of applications will begin immediately. Applications
submitted by January 7th will receive full consideration.

Background Screening
The University of Michigan conducts background checks on all job candidates
upon acceptance of a contingent offer and may use a third party
administrator to conduct background checks. Background checks will be
performed in compliance with the Fair Credit Reporting Act.

U-M EEO/AA Statement
The University of Michigan is an equal opportunity/affirmative action
employer.

-- 
Abigail Jacobs

Assistant Professor of Information, School of Information
Assistant Professor of Complex Systems, College of Literature, Science, and
the Arts
University of Michigan
azjacobs.com

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