We are inviting applications for a postdoctoral researcher to join the newly established National Artificial Intelligence (AI) Institute for Student AI Teaming (www.iSAT.ai) which aims to develop AI technologies to facilitate rich socio-collaborative learning experiences by engaging with students and teachers. In this position, you will work with a multidisciplinary research team to deepen our understanding of collaborative learning, small group work, and computer supported collaborative learning/work (broadly) and as it relates to AI-enhanced K-12 education (more specifically). The job responsibilities of this position include: conducting and publishing original research on collaboration; facilitating data collection in both lab- and classroom- settings; and participating in the shared-governance of the Institute.

You will work with Dr. Sidney D’Mello and Dr. Peter Foltz and a vibrant research team encompassing researchers in Cognitive Science, Computer Science, Psychological Sciences, & Education. The position offers a unique postdoctoral training experience and unsurpassed publishing opportunities within multi-disciplinary, multi-institution, grant-funded projects. You will be encouraged to publish extensively, advance your own research program, develop advanced technical skills, strengthen your research portfolio, develop leadership skills, and gain expertise in authoring grant proposals.

The University of Colorado Boulder is committed to building a culturally diverse community of faculty, staff, and students dedicated to contributing to an inclusive campus environment. We are an Equal Opportunity employer, including veterans and individuals with disabilities.

The Institute for Student-AI Teaming (iSAT) aims to develop, deploy, and study AI Partners that collaborate naturally with students and teachers through speech, gesture, gaze, and facial expression in real-world classrooms. The AI partners will be designed in close collaboration with educators and students, with the aim of supporting students to develop STEM competencies, disciplinary practices, and collaborative problem-solving skills. The long-term impact of the Institute will be to help realize the grand challenge of “Education for All”, by leading the nation towards a future where all students – especially those whose identities are underrepresented in STEM – routinely participate in rich and rewarding AI-enabled collaborative learning experiences that scale, resulting in deeper student engagement and persistence in STEM, more inclusive classroom cultures, and significant improvements in learning outcomes.

iSAT is hosted and supported by the Institute of Cognitive Science (ICS) at CU Boulder. Founded in 1968, the mission of ICS is to understand and enhance human cognition, learning, and development through the creation of interdisciplinary partnerships. ICS fosters rich scientific interchange across researchers from a broad range of disciplines including Artificial Intelligence, Linguistics, Psychology, Neuroscience, Computer Science, Philosophy, and Education. ICS also specializes in incubating cutting edge, state-of-the-art research centers such as iSAT.

• Conducting and publishing research related to collaborative processes/outcomes and computer-supported collaborative learning/work.
• Organizing and managing distributed teams of researchers, professional staff, and students to collect, manage, and analyze data on collaboration.
• Contributing to the shared governance of the AI Institute by serving on pertinent committees (e.g., the Executive Committee or the Community Hub) as well as participating in team meetings, annual retreats, and other events.

• All University of Colorado Boulder employees are required to comply with the campus COVID-19 vaccine requirement. New employees must provide proof of vaccination or receive a medical or religious exemption within 30 days of employment.

Anticipated starting salary is $60,000.00-68,000.00.

• Ph.D. in Psychology, Cognitive Science, Computer Science, or a related field (e.g., Management, Education, Statistics).
• Demonstrated ability to successfully publish and present peer-reviewed scientific articles.

• Demonstrated research experience in one or more of the following areas: collaborative problem solving, collaborative learning, small group work, team science.
• Knowledge of pertinent theoretical frameworks on collaboration (e.g., collaborative problem solving, team science, collaborative learning).
• Advanced statistical/AI methods to analyze complex multimodal, multiscale, and/or multiparty data (e.g., complex network analysis, multilevel vector autoregression, conditional random fields, hidden markov models, recurrent neural networks, deep learning).
• Strong writing and communication skills and the ability to conduct research in interdisciplinary teams.
• Scripting/programming skills (e.g., R, Python, Matlab).

• Knowledge of the learning sciences and artificial intelligence.
• Experience in designing and implementing theory-driven data collection protocols including instrumentation for multimodal data collection.
• Experiencing with data collection in the field (especially classrooms).

To apply, please submit the following materials:

• Resume or CV.
• Cover letter addressed to the Search Committee briefly describing your qualifications, professional goals, and specific interest in this position.

If you are selected as the finalist, your degree will be verified by the CU Boulder Campus Human Resources department using an approved online vendor. If your degree was obtained outside of the United States, please submit a translated version as an optional attachment.

This position will remain open until 8/5/22.

Note: Application materials will not be accepted via email. For consideration, applications must be submitted through CU Boulder Jobs.