Position Overview
Salary range: $68,247- $192,040
Application Window
Open date: October 7, 2024
Next review date: Wednesday, Nov 6, 2024 at 11:59pm (Pacific Time)
Apply by this date to ensure full consideration by the committee.
Final date: Wednesday, Nov 6, 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 Lecturers with domain expertise in machine learning emphasizing applications to the fields of economics and finance for the 2024-2025 academic year. A reasonable estimate for this position is $68,247- $192,040.
The instructor will develop and teach this applied Machine Learning course 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.
Qualifications
Applicants are expected to have:
- Master's 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 concepts to professional settings
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. (Optional)
- Reference check authorization release form - Complete and upload the reference check authorization release form
- Proof of Degree - Please be able to provide proof of degree upon request.
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.
Help contact:
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.
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Job Location
Los Angeles, CA
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