University of California, Davis
NATIONAL SCIENCE FOUNDATION FUNDED CONTENT DEVELOPMENT AND EDUCATIONAL DATA MINING POSTDOCTORAL POSITION
Location: UC Davis Genome Center
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.
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.
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 email@example.com.
Questions: Please direct questions to Marc Facciotti: firstname.lastname@example.org
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.gov/e-verify.