Machine Learning Lecturer - Master of Quantitative Economics

Machine Learning Lecturer - Master of Quantitative Economics

University of California Los Angeles

Requisition Number : JPF09895

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.

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

This position is represented by the University Council - American Federation of Teachers : https : / / ucnet.universityofcalifornia.

edu / labor / bargaining-units / ix / contract.html . Internal applicants will be considered for reappointment prior to the consideration of external applicants.

QUALIFICATIONS

Basic qualifications

• 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 concept to professional settings

APPLICATION REQUIREMENTS

Document requirements

• Curriculum Vitae - Your most recently updated C.V.
• Cover Letter
• Statement of Research (Optional)
• State of Teaching (Optional)
• Statement of 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 (need link) document. (Optional)

• Reference check authorization release form - Complete and upload the reference check authorization release form (need link)
• Proof of Degree - Please be able to provide proof of degree upon request.

Reference requirements

3 required (contact information only)

To apply, please visit : https : / / recruit.apo.ucla.edu / JPF09895

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 complete University of California nondiscrimination and affirmative action policy, see : UC Nondiscrimination & Affirmative Action Policy, https : / / policy.

ucop.edu / doc / 4000376 / DiscHarassAffirmAction

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