NATIONAL SCIENCE FOUNDATION FUNDED CONTENT DEVELOPMENT AND EDUCATIONAL DATA MINING POSTDOCTORAL POSITION
Location: UC Davis Genome Center
Description:
We
seek a skilled, creative, and motivated postdoctoral scholar with an
interest in building the knowledge and computational tools that can help
change how students interact with online content. The successful
candidate will work with the project Principal Investigator (PI) Marc
Facciotti and co-PIs to design, execute and report on experiments that
will test: how the design of online content and its delivery impact
student affect and engagement while interacting with content; how
different strategies for interventions during student/content
interaction can influence student affect and engagement; how knowledge
of student interaction with content can influence instructor behavior;
and how each of these variables impacts student learning and inclusion.
This
project applies artificial intelligence and machine learning approaches
to build new understandings of how to engineer student engagement with
online content to enhance learning. Tools derived from this project will
improve students' and instructors' experiences with online content,
increase the value of online content delivery, and contribute to the
personalization of online resources.
Depending
on the candidate’s strengths and interests, duties may also include:
analysis of multidimensional data and modeling, taking part in online
tool creation, grant-writing, writing reviews and/or perspectives,
presenting findings at conferences, development of improved course
pedagogy and content, networking with and extending the use of knowledge
gained and tools constructed with collaborators beyond the home
institution, and coordination of multi-university studies through the
SEISMIC consortium. Interaction and collaboration with members of the
broader scholarship of teaching and learning community (both at and
beyond UCD) is encouraged and will be facilitated by the senior
investigators.
Qualifications:
The
applicant must have a Ph.D. in biology, mathematics, physics,
chemistry, statistics, computer science, engineering, evolution,
environmental sciences, psychology, or related fields, including science
education. Experience with scholarship of teaching and learning,
especially in undergraduate STEM disciplines is preferred. It is also
preferred that the candidate have experience with quantitative
techniques and approaches, including programming and data analysis, and
have experience with and knowledge of modern online educational
technologies. We are looking for a highly self-motivated, eager to
learn, and excited to teach individual. The candidate should have an
interest in improving undergrad STEM education, particularly with online
learning. The candidate should have excellent communication skills,
both verbal and written, be comfortable collaborating with faculty in
both the natural and computer sciences, and be able to work
independently under minimal supervision.
How To Apply:
Applicants
should submit Curriculum Vitae, including list of publications, a
Letter of Interest, Statement of Research, Statement of Contributions to
Diversity, Equity, and Inclusion, and contact information for three
references to Prof. Facciotti at mtfacciotti@ucdavis.edu.
Questions: Please direct questions to Marc Facciotti: mtfacciotti@
The
University of California, Davis commits to inclusion excellence by
advancing equity, diversity and inclusion in all that we do. We are an
Affirmative Action/Equal Opportunity employer, and particularly
encourage applications from members of historically underrepresented
racial/ethnic groups, women, individuals with disabilities, veterans,
LGBTQ community members, and others who demonstrate the ability to help
us achieve our vision of a diverse and inclusive community.
Under
Federal law, the University of California may employ only individuals
who are legally able to work in the United States as established by
providing documents as specified in the Immigration Reform and Control
Act of 1986. Certain UC Davis positions funded by federal contracts or
sub-contracts require the selected candidate to pass an E-Verify check.
More information is available http://www.uscis.
UC Davis is a smoke & tobacco-free campus (http://breathefree.ucdavis.
