[Iefac.list] Three Faculty Positions in Data Science at the University of Oklahoma

[Talayeh Razzaghi]

*Three Faculty Positions in Data Science: Human-Computer Teaming and
Interactive Decision Making; Artificial Intelligence Architectures; and
Trustable*


*Positions Available:*


*Artificial Intelligence at the University of Oklahoma, Norman Campus*

As part of a multiyear effort to grow world-class data science and
data-enabled research across The University of Oklahoma (OU), the Gallogly
College of Engineering (GCoE), Department of Electrical and Computer
Engineering and/or Department of Computer Science, in partnership with the
Dodge Family College of Arts and Sciences (CAS), welcomes applications for
a cluster of three (3) faculty positions from candidates whose experiences
and interests have prepared them to be an integral contributor engaged in
scientific discovery, developing talent, solving global challenges, and
serving our society. This year we are focusing on data science foundational
and enabling technologies. In subsequent years, we’ll be hiring additional
data science and data-enabled research faculty.


The University, as part of its *Lead On, University *strategic plan has
committed to creating world- class capabilities in data science, artificial
intelligence (AI), machine learning (ML), and data- enabled research. In
July 2020, the University established the Data Institute for Societal
Challenges (DISC) to grow convergent data-enabled research to solve global
challenges. DISC currently has over 130 faculty members across OU campuses,
nine communities of practice, seed funding programs, and an extended
network of approximately 300 data scientists and data- enabled researchers
across many disciplines (https://www.ou.edu/disc).


*Three positions:*


*1. Professor or Associate Professor in Human-Computer Teaming and
Interactive Decision Making: *Humans and computers have complementary
knowledge and skill sets. To solve challenging problems, we need to team
this expertise together for effectiveness, reliability, efficiency, and
adoption of many data-driven solutions. This area is cross-disciplinary,
and we seek a senior faculty member with expertise in one or more of
human-computer teaming, visualization, visual analytics, human-machine
interaction, decision theory, HCI, human factors and industrial
engineering, or cognitive psychology. This faculty member will be a vital
core team member in data science and data-driven decision making with a
home department in ECE and possible joint appointments in ISE, Computer
Science, Psychology, and/or Political Science.



Applications should be submitted online via Interfolio at
https://apply.interfolio.com/112374

Inquiries can be addressed to Professor David Ebert, chair of the search
committee at ebert at ou.edu.



*2. Assistant Professor in AI Architectures: *We seek to recruit a
transdisciplinary faculty member with expertise in one or more of the
following areas: scalable, high-performance software and hardware
architectures for AI and advanced analytics, advanced and domain-tailored
data science, AI (trustable, science-based, and human-guided), and
human-computer teaming. Specific areas of interest include probabilistic,
neuromorphic, and novel architectures, software pipelines and operating
system architectures to support high-performance analytics, and enable
real-time trustable AI and decision-making. Since traditional computing
architectures are still based on solving problems from the 20th century,
new computing hardware and software architectures are needed to optimize
computing for AI and machine learning and many new approaches to science
and engineering. This faculty member will grow and complement work in
computer engineering, computer science and the new OU quantum center (CQRT)
with a home department in ECE and possible joint appointments where
appropriate.



Applications should be submitted online via Interfolio at
https://apply.interfolio.com/112359

Inquiries can be addressed to Professor David Ebert, chair of the search
committee at ebert at ou.edu


*3. Assistant Professor in Trustable AI.* http://apply.interfolio.com/112359.
We are seeking an Assistant Professor in Trustable AI. Human-guided,
science-based, explainable AI (xAI) are key areas to ensure AI is
understandable, reliable, and robust for real-world applications. This
faculty member will grow our expertise in one of the most rapidly
developing and vital fields of data science, with a primary home in ECE and
potentially joint appointments in CS, Psychology, and ISE. We seek a
faculty member with expertise in one or more of science-based AI or machine
learning (ML), human-guided AI/ML, explainable AI/ML, and closely related
topics.  This faculty member will be a vital core team member in data
science, AI, and data-driven convergent research solutions to global
challenges. This faculty member will provide vital capabilities that will
empower research in all four strategic verticals and grow the data science
ecosystem on campus to create the critical mass in data science needed for
the success of the university’s strategic plan, Lead On, University.


Applications should be submitted online via Interfolio at
http://apply.interfolio.com/112372.

Inquiries can be addressed to Professor David Ebert, chair of the search
committee at ebert at ou.edu.

*Talayeh Razzaghi, Ph.D.*

Assistant Professor

School of Industrial and Systems Engineering

Data Science and Analytics Institute

Gallogly College of Engineering

University of Oklahoma
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