Assistant Professor of Economics with a focus on Applied Machine Learning
Southern California, Fullerton
Applications have closed
California State University
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.
- 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.
- 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:
- The candidate has acquired knowledge of barriers for underrepresented students and faculty in higher education.
- The candidate has experience in and is committed to engaging in service with underrepresented populations in higher education.
- The candidate has experience in and is committed to teaching and/or mentoring underrepresented students in a higher education environment.
- The candidate has experience integrating underrepresented populations and communities into scholarly and creative activities.
- 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:
- a list of three references with relevant contact information
- On the references page of the online application, enter information for three referents who will provide a confidential letter of reference for your application. They will receive a request via email along with information on uploading the letter at the appropriate step in the search process. Candidates can verify that each letter has been received by CSUF by logging back into the recruitment system.
- Applicants should be aware that recommendations will be used when evaluating candidates for the semi-finalist and finalist stage.
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Categories:
Machine Learning Jobs
Research Jobs
Tags: Big Data Classification Data Analytics Econometrics Economics Industrial Machine Learning PHP Research STEM Teaching
Perks/benefits: Career development Health care Startup environment Wellness
Region:
North America
Country:
United States
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