Recruit
Part-Time Machine Learning Visiting Professor (open rank) - Master of Quantitative Economics
Position overview
Application Window
Open date: October 24, 2024
Next review date: Thursday, Nov 7, 2024 at 11:59pm (Pacific Time)
Apply by this date to ensure full consideration by the committee.
Final date: Tuesday, Dec 31, 2024 at 11:59pm (Pacific Time)
Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.
Position description
The UCLA Master of Quantitative Economics program (MQE) invites applications for a part-time (50%) Visiting Assistant Professor, Visiting Associate Professor, or Visiting Professor with domain expertise in machine learning emphasizing applications to the fields of economics and finance for Winter 2025 quarter (payroll dates: January 1, 2025 - March 31, 2025; instruction dates: January 6, 2025 - March 14, 2025). A reasonable estimate for this position is $151,507-$183,790.
The Visiting Assistant/Associate/Professor will develop and teach applied Machine Learning course(s) within the Master of Quantitative Economics program. Responsibilities of the position will include developing the syllabus and course; delivering lectures and applied lessons; holding regularly scheduled weekly office hours; being responsive and helpful to students; developing and grading assignments; providing guidance to students involved in co-curricular applied projects; and continued research and service.
Applicants are expected to have:
• Doctoral degree or higher in economics, data analytics, statistics, computer science, electrical engineering or equivalent
• Experience applying a variety of machine learning techniques in industry, such as supervised and unsupervised learning, regression, classification, clustering, and deep learning. Applications in economics and finance are a strong plus
• Excellent verbal communication skills, capable of leading lectures of 75+ students
• Advanced knowledge of the application of technical or mathematical concept to professional settings
• Demonstrated research and service experience within an academic setting
Qualifications
• Doctoral degree or higher in economics, data analytics, statistics, computer science, electrical engineering or equivalent
• Experience applying a variety of machine learning techniques in industry, such as supervised and unsupervised learning, regression, classification, clustering, and deep learning. Applications in economics and finance are a strong plus
• Excellent verbal communication skills, capable of leading lectures of 75+ students
• Advanced knowledge of the application of technical or mathematical concept to professional settings
• Demonstrated research and service experience within an academic setting
Application Requirements
Cover Letter
Curriculum Vitae - Your most recently updated C.V.
Reference check authorization release form - Complete and upload the reference check authorization release form
Statement of Research (Optional)
Statement of Teaching (Optional)
Statement on Contributions to Equity, Diversity, and Inclusion - An EDI Statement describes a faculty candidate’s past, present, and future (planned) contributions to equity, diversity, and inclusion. To learn more about how UCLA thinks about contributions to equity, diversity, and inclusion, please review our EDI Statement FAQ document, and Sample EDI Statements.
(Optional)Misc / Additional (Optional)
- 3 required (contact information only)
Applicants will be asked to name references to complete their application, but the references will not be asked to provide letters unless the analyst requests them.
Help contact: rmorris@econ.ucla.edu
About UCLA
As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.
The University of California is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age or protected veteran status.
For the University of California’s Affirmative Action Policy, please visit https://www.ucop.edu/academic-personnel-programs/_files/apm/apm-035.pdf.
For the University of California’s Anti-Discrimination Policy, please visit https://policy.ucop.edu/doc/1001004/Anti-Discrimination.