[Jobinfo] Fwd: [Ieee_vis_open_positions] Postdoctoral Researcher Positions in Visual Analytics, Data Science and Trustable AI at the University of Oklahoma
Mon May 17 14:23:37 CEST 2021
-------- Forwarded Message --------
Subject: [Ieee_vis_open_positions] Postdoctoral Researcher Positions in
Visual Analytics, Data Science and Trustable AI at the University of
Oklahoma
Date: Thu, 8 Apr 2021 20:59:52 +0000
From: Ebert, David via ieee_vis_open_positions
<ieee_vis_open_positions@listserv.uni-tuebingen.de>
Reply-To: Ebert, David <ebert@ou.edu>
To: ieee_vis_open_positions@listserv.uni-tuebingen.de
<ieee_vis_open_positions@listserv.uni-tuebingen.de>
CC: Ebert, David <ebert@ou.edu>
*Postdoctoral Researcher Positions in Visual Analytics, Data Science and
Trustable AI*
Data Institute for Societal Challenges
The University of Oklahoma, Norman, OK
We invite applications for two postdoctoral researchers *_with Summer or
Fall start dates_* in visual analytics, data science, machine learning,
trustable AI, social media analytics, and big data analytics across a
wide spectrum of application areas.
The successful candidate will perform duties including:
* Research in visual analytics in application domains including social
media analysis, interactive and explainable AI, sustainable
food-energy-water systems public safety, crisis
management, functional soil mapping, precision agriculture.
* Research in Foundational Data Science with a specific focus on
trustable and scientific AI
* Assist in drafting successful research grant proposals.
* Lead research activities within the group, including project
management and stakeholder engagement.
* Assist in supervising graduate and undergraduate students.
* Interface with renowned academic research groups at and beyond OU.
*Requirements*
The candidate should hold a Ph.D. in Computer Science, Information
Science, Industrial Engineering, Geography, Statistics, Data Science or
a related field, with a strong research background and expertise in data
science, visual analytics, trustable, explainable AI, or some of these
areas:
* Geospatial and temporal analysis
* Statistics
* Machine learning/AI
* Human-guided AI
* Cognitive science
* Human-computer interaction
* Big data
* Human factors
* Health and public health analytics
* Digital Humanities
* Food-water-energy systems
* Sustainable/precision agriculture
OU has multiple joint research projects with Peruvian Universities.
Therefore, professional proficiency in _Spanish_ is a plus.
Both beginning and senior postdoctoral candidates are encouraged to
apply. Excellent oral and written communication skills are mandatory.
*About Us*
We are the OU Data Science Institute for Societal Challenges (DISC
Center). The DISC Center is a new campus-wide institute in the Vice
President for Research and Partnerships office. Our mission is to
empower transdisciplinary research and collaboration to drive convergent
solutions to societal challenges in Oklahoma, the nation, and the world
through data science research, tools and capabilities.
The Data Institute for Societal Challenges convenes diverse teams to
collaborate to solve some of the world’s most pressing problems and
achieve a lasting societal impact. These communities are:
* Foundational Data Science
* Aerospace, Defense and Global Security
* Community and Societal Transformation
* The Future of Health
* Environment, Energy, and Sustainability
DISC works closely with local and international collaborators, including
social media experts, sustainability experts, agricultural producers,
health and public safety departments, economists, first responders,
computational scientists, businesses, and researchers in science,
engineering, and economics.
Some of the projects DISC is currently engaged with include:
* /Visual Analytics for Public Health Applications/
The ongoing and evolving COVID-19 pandemic has resulted in tremendous
negative effects on people’s daily lives. It is critical for decision
makers such as health care officials and governors to foresee potential
impacts and make timely decisions. To aid in this process, we are
developing PanViz 2.0, a visual analytics application that combines
epidemic model and AI-driven analytics to infer the best-fit parameters
to enable the adaptation to ongoing pandemics at multiple spatial
aggregations (national wide, state level, and county level).
* /Data Analytics for Social Justice/
DISC is currently engaged in a series of projects that fall under the
broad label of data analytics for social justice. These projects include
the extension of the SMART system to analyze changes in public
perceptions and opinions around policing in communities of color (Social
Media and the Visual Politics of Policing Communities of Color). We are
working alongside the OU Carceral Studies Consortium to apply data
science and data analytics to study the long-term effects of
incarceration while developing policy solutions centered on reducing
juvenile incarceration.
* /Detecting and Countering Online Misinformation/
Recent events have highlighted the pernicious and deleterious impact
that misinformation and disinformation have on public discourse and
policy making. DISC is directly involved in several projects seeking to
identify, label, and counter the spread of misinformation and
disinformation through integrated social science theory, risk
communication, data science, cognitive psychology, and communication
theories and techniques.One of these projects, conducted in conjunction
with researchers from the Gaylord College of Journalism, focuses on
identifying and countering misinformation around cancer treatments.
* /AI Institute Planning grant: A Gap-Based Approach to Frame and
Develop Robust AI for Sustainable, Climate-Adapted Agriculture///
This NSF/USDA project aims to build stakeholder trust in the power of
artificial intelligence to create congruency and efficiency in
predicting Climate, Food, and Water processes by leveraging the
foundation of the physical and biological processes underlying the data
and their model representations.
* /UNSA/OU Alianza Institute: Public Health Monitoring and Decision
Making in Peru/
This pilot project will evaluate the feasibility of a real-time,
electronic, syndromic surveillance and decision-making system to provide
(i) base data needed for accurate situational surveillance, virus spread
status, and measurement of mitigation actions, and (ii) support for
timely, data-, model-, and expertise-driven problem solving
* /Social Media Analytics and Reporting Toolkit (SMART)///
The Social Media Analytics and Reporting Toolkit (SMART) provides
interactive exploration and analysis of real-time, publicly available
Twitter and Instagram data through scalable integrated topic modeling
algorithms, spatial cluster visualizations, exclusion and inclusion of
semantic keyword filters, and temporal views. SMART is powered by
advanced analytics and human-guided, interactive machine learning for
applications in misinformation and disinformation, social justice, and
public safety.
* /NATO- netwoRk for alErting And managing publiC safeTy and
resilience – REACT///
This project will develop an innovative pilot platform (REACT) for the
rapid and effective response and management of natural or man-made
crisis scenarios, integrating real-time social media analysis and
real-time chemical and biological sensing.
*To apply*
Please send your CV and a one-page research statement to Dr. David Ebert
(ebert@ou.edu <mailto:ebert@ou.edu>) and Dr. Audrey Reinert
(areinert@ou.edu <mailto:areinert@ou.edu>). Applications will be
reviewed on a rolling basis until the positions are filled.
Sincerely,
David
Dr. David S. Ebert, Gallogly Chair Professor of ECE and CS
Associate Vice President of Research and Partnerships
Director, Data Institute for Societal Challenges (DISC)
University of Oklahoma
5 Partners Place
201 Stephenson Pkwy, Ste 4600
Norman, OK 73019
ebert@ou.edu <mailto:ebert@ou.edu>
Dr. David S. Ebert, Gallogly Chair Professor of ECE and CS
Associate Vice President of Research and Partnerships
Director, Data Institute for Societal Challenges (DISC)
University of Oklahoma
5 Partners Place
201 Stephenson Pkwy, Ste 4600
Norman, OK 73019
ebert@ou.edu <mailto:ebert@ou.edu>
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