Machine Learning Adjunct Professor- Master of Quantitative Economics

Job title: Machine Learning Adjunct Professor- Master of Quantitative Economics

Company: UCLA


Job description: Job #JPF10004

• ECONOMICS / L&S Social Sciences / UCLA

Position overviewSalary range: $103,700 – $129,600Application WindowOpen date: November 5, 2024Next 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 descriptionThe 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

QualificationsBasic 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 RequirementsDocument requirementsCurriculum Vitae – Your most recently updated C.V.Cover LetterStatement 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 document, and .Reference check authorization release form – Complete and upload theProof of DegreeMisc / 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.

Expected salary: $103700 – 129600 per year

Location: Los Angeles, CA

Job date: Thu, 07 Nov 2024 06:57:58 GMT

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