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Apply for Job Job ID361839 LocationTwin Cities Job FamilyAcademic Full/Part TimeFull-Time Regular/TemporaryRegular Job Code9546 Employee ClassAcad Prof and Admin Add to Favorite Jobs Email this Job About the Job Position Overview The University of Minnesota's (UMN) Learning Informatics Laboratory (LIL) seeks a candidate to fill one Post-Doctoral Associate position. The position is focused on the uses of AI and GenAI in education (K-12 and higher education), and specifically on 1) developing ways to leverage large scale datasets to improve learner experiences and 2) establishing data-driven ways to improve student and teacher understandings and use of AI (e.g., AI Literacy). The post-doctoral associate will be a full-time, 12-month employee of the University of Minnesota. The post-doctoral associate will work closely with and be primarily supervised by Drs. Panayiota Kendeou and Caitlin Mills in the Department of Educational Psychology. Initial appointment will be one year, with an option for a second year based on performance and continued availability of funding. The post-doctoral associate should be committed to producing original research and publishing their work in highly ranked conference proceedings and journals (as appropriate). Mentors are committed to the professional development of the post-doctoral associate and will provide resources to support professional development, including participation in professional conferences. This position is based on campus. Per UMN policy, work may be done remotely when appropriate and approved by your manager. All UMN employees are expected to follow applicable public health and safety procedures. Job Responsibilities Research (100%) Create and manage large-scale data sets Lead independent research projects related to the LIL goals surrounding AI/genAI. Apply AI-driven methods to existing large datasets to improve learner experiences. Work closely with existing LIL team members to conduct interdisciplinary research related to learning analytics/educational psychology Assist with mentoring graduate students on AI-related research in education projects. Lead and/or assist with the preparation of research articles, reports, and grants. Disseminate research findings at academic conferences and journals. Qualifications Required Qualifications A Ph.D. in psychology, data science, computer science, cognitive science, learning analytics, or a related field A very strong technical background with demonstrated experience developing computational tools and/or applying data science methods to large data sets. Strong organizational and communication skills Strong professional writing skills, including research reports, peer-reviewed research articles, or other print and electronic publications Ability to work well with diverse populations Preferred Qualifications Experience in leading independent research projects related to AI or Gen AI methods Experience in collaborating as a member of a larger research team Experience with one or more of the following: machine learning, natural language processing, LLMs, or computer vision About the Department Department Overview The Department of Educational Psychology provides training in the cognitive, emotional, and social learning processes that underlie education and human development across the lifespan, including: the psychological foundations of education, quantitative methods in education, the practice and science of counseling psychology, school psychology, and special education. Faculty and students provide leadership and consultation to the state, nation, and international community. The department's scholarship and teaching enhance professional practice in schools and universities, community mental health agencies, business and industrial organizations, early childhood programs, and government agencies. https://www.cehd.umn.edu/edpsych College Overview The College of Education and Human Development (CEHD), the third largest college and the Uni ersity, contributes to a just and sustainable future through engagement with the local and global communities to enhance human learning and development at all stages of the life span. We know diversity is necessary to do our best work and foster our humanity. That's why the CEHD community is collectively dedicated to cultivating an inclusive and equitable environment, embracing and celebrating all identities of our students, staff, and faculty. These values are also a moral imperative requiring continuous proactive measures and a firm stance against prejudice, discrimination, and systemic injustice. https://www.cehd.umn.edu/ Benefits Working at the University At the University of Minnesota, you'll find a flexible work environment and supportive colleagues who are interested in lifelong learning. We prioritize work-life balance, allowing you to invest in the future of your career and in your life outside of work. The University also offers a comprehensive benefits package that includes: Competitive wages, paid holidays, and generous time off Continuous learning opportunities through professional training and degree-seeking programs supported by the Regents Tuition Benefit Program Low-cost medical, dental, and pharmacy plans Healthcare and dependent care flexible spending accounts University HSA contributions Disability and employer-paid life insurance Employee wellbeing program Excellent retirement plans with employer contribution Public Service Loan Forgiveness (PSLF) opportunity Financial counseling services Employee Assistance Program with eight sessions of counseling at no cost Employee Transit Pass with free or reduced rates in the Twin Cities metro area Please visit the Office of Human Resources website for more information regarding benefits. How To Apply Applications must be submitted online. To be considered for this position, please click the Apply button and follow the instructions. You will have the opportunity to complete an online application for the position and attach a cover letter and resume.Upload additional documents after submitting your application by accessing your "My Job Applications" page and uploading documents in the "My Cover Letters and Attachments" section. To be considered for this position, please include: * Letter of Interest (including your relevant background and research skills) * Curriculum Vitae * Three relevant publications (conference proceedings or journals) * Names, e-mail addresses, and phone numbers of three references Review of applications will begin in two weeks. For questions about the position please contact Drs. Panayiota Kendeou (kend0040@umn.edu) and Caitlin Mills (cmills@umn.edu). For questions about the application process please contact epsy-hr@umn.edu. To request an accommodation during the application process, please e-mail employ@umn.edu or call (612) 624-8647. Diversity Employment Requirements Any offer of employment is contingent upon the successful completion of a background check. Our presumption is that prospective employees are eligible to work here. Criminal... For full info follow application link. The University recognizes and values the importance of diversity and inclusion in enriching the employment experience of its employees and in supporting the academic mission. The University is committed to attracting and retaining employees with varying identities and backgrounds. The University of Minnesota provides equal access to and opportunity in its programs, facilities, and employment without regard to race, color, creed, religion, national origin, gender, age, marital status, disability, public assistance status, veteran status, sexual orientation, gender identity, or gender expression. To learn more about diversity at the U: http://diversity.umn.edu.