Machine Learning Adjunct Professor- Master of Quantitative Economics Apply now to Machine Learning Adjunct Professor- Master of Quantitative Economics Job #JPF10004 + ECONOMICS / L&S Social Sciences / UCLA Position overview Salary range: $103,700 - $129,600 Application Window Open date: November 5, 2024 Next review date: Tuesday, Nov 19, 2024 at 11:59pm (Pacific Time) Apply by this date to ensure full consideration by the committee. Final date: Tuesday, Nov 19, 2024 at 11:59pm (Pacific Time) Applications will continue to be accepted until this date. Position description The UCLA Master of Quantitative Economics program (MQE) invites applications for an Adjunct Professor with domain expertise in machine learning emphasizing applications to the fields of economics and finance for the Winter 2025 quarter (instruction dates: January 6, 2025 - March 14, 2025). The adjunct 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 and providing guidance to students involved in co-curricular applied projects.
 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 or industry setting Qualifications Basic 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 or industry setting Application Requirements Document requirements + Curriculum Vitae - Your most recently updated C.V. + Cover Letter + 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. + Reference check authorization release form - Complete and upload the reference check authorization release form + Proof of Degree + Misc / Additional (Optional) Reference requirements + 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. Apply link: https://recruit.apo.ucla.edu/JPF10004 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. Job location Los Angeles, CA