Assistant Professor of Economics with a focus on Applied Machine Learning

Department of Economics College of Business and Economics Assistant Professor Fall 2025   The Department of Economics at California State University, Fullerton, invites applications for a tenure‐track assistant professor position in Economics with an appointment to begin Fall 2025. We are looking for candidates proficient in modern Machine Learning tools working in any of the Applied Micro fields, including health, education, labor, urban, public, environmental economics, industrial organization, and trade.    California State University, Fullerton (CSUF) is a minority-serving institution, affirmative action, and equal opportunity employer. CSUF is firmly com mitted to increasing the diversity of the campus community and the curriculum and fostering an inclusive environment within which students, staff, administrators, and faculty thrive. Candidates who can contribute to this goal through their teaching, research, advising, and other activities are encouraged to identify their strengths and experiences. Individuals advancing the University’s strategic diversity goals and those from groups whose underrepresentation in the American professoriate has been severe and longstanding are particularly encouraged to apply.   CSUF is committed to retaining all faculty and has established affinity groups you can join to support your success.     Position CSUF faculty are committed teacher/scholars who bring research and creative discovery to life for students in classrooms, labs, studios, and individually mentored projects. They teach broadly in the curricula of their departments, advise students, and serve on departmental and university-wide committees. The primary responsibilities of this position will include developing and teaching undergraduate and graduate courses in data analytics, as well as teaching core graduate and undergraduate courses in the candidate’s areas of specialty within applied microeconomics. Faculty responsibilities also include contributing to the supervision of undergraduate and graduate research. The successful candidate will be responsible for producing scholarship commensurate with the requirements for tenure. The successful candidate will be expected to contribute to and participate in the life and development of the department, advise students, serve on committees, and participate in the broader University and disciplinary or local communities.   Required Qualifications

• A completed Ph.D. degree in Economics at the start of the appointment;
• Expertise in applying econometrics, machine learning, and big data techniques to Applied Microeconomic questions;
• Potential to publish academic research in leading journals;
• A commitment to high-quality teaching at the undergraduate and graduate levels and an interest in teaching a diverse student body, including first‐generation college students.

Preferred Qualifications

• The department has a preference for candidates who have developed and taught courses in data analytics/machine learning and who use these methods extensively in their research.
• Preference will also be given to candidates who have experience working with, teaching, or mentoring diverse groups or students, as well as to candidates who have the ability to contribute to fostering diversity of the campus, curriculum, and/or discipline.

Application A complete online application must be received by electronic submission to be considered. To apply, please visit http://hr.fullerton.edu/careers/Faculty.php, choose full-time faculty, search for the position REQ# 543321, and provide the following required materials: 

• cover letter in which you respond to the required qualifications
• curriculum vitae
• research statement with research sample(s)
• teaching statement and evidence of teaching effectiveness if applicable
• candidate statement on commitment to inclusive excellence 
  • This statement provides the candidate’s unique perspective on their past and present contributions to and future aspirations for promoting diversity, inclusion, and social justice in their professional careers. This statement aims to help the department identify candidates with professional experience, intellectual commitments, and/or willingness to engage in activities that could help CSUF contribute to its mission in these areas. The statement shall address one or more of the following criteria:
    1. The candidate has acquired knowledge of barriers for underrepresented students and faculty in higher education.
    2. The candidate has experience in and is committed to engaging in service with underrepresented populations in higher education.