Position: Assistant Professor, Development/Public

University of California, Irvine
Assistant Professor
Section: US: Full-Time Academic (Tenure Track)
Location: Irvine, CA, UNITED STATES
JEL Classifications:
O Economic Development
H Public Economics

Subject to budgetary authorization, the Department of Economics will consider applications for one position at the assistant professor level to begin July 1, 2019. We invite applications from both new Ph.D.s and individuals a few years post Ph.D. The department seeks candidates with expertise in one or more of the above fields. Successful candidates must demonstrate substantial promise for a scholarly career.

Completed applications containing a curriculum vitae, sample of research, statement of teaching, and three letters of recommendation should be uploaded electronically via UC Irvine's online application system, RECRUIT, located at: https://recruit.ap.uci.edu/apply/JPF04953. A separate statement that addresses past and/or potential contributions to diversity, equity and inclusion must also be included in the application materials.

To receive fullest consideration, applications should be received by November 26, although the position will be open until filled.

The University of California, Irvine is an Equal Opportunity/Affirmative Action Employer advancing inclusive excellence. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected categories covered by the UC nondiscrimination policy. A recipient of an NSF ADVANCE award for gender equity, UCI is responsive to the needs of dual career couples, supports work-life balance through an array of family-friendly policies, and is dedicated to broadening participation in higher education.

 

Position: Postdoctoral Researcher, Econometrics and Machine Learning

Department of Economics, UC Irvine
Prof. Matthew Harding, Deep Data Lab
JEL Classification: C – Mathematical and Quantitative Methods

Job Description

The postdoctoral researcher will work closely with Professor Matthew Harding on developing and implementing projects at the intersection of machine learning and econometrics. Some of the areas of interest are recent advances in deep learning and neural networks, causal inference, high-dimensional statistical modeling, and nonparametric modeling. The position will provide an opportunity to publish collaborative research on Big Data methods using large proprietary panel datasets, such as transaction data, credit data or financial data. The postdoctoral researcher will also have the opportunity to interact with faculty in Economics, Machine Learning and Computer Science.

Fields

We are particularly interested in individuals able to demonstrate excellence in either of the following two areas:
a) Machine learning and algorithmic design with a focus on Big Data methods. The candidate is expected to have outstanding computational skills, have experience in handling large datasets, and have proven fluency in statistical programming (e.g. Python, R) and current tools (e.g. TensorFlow, Pytorch). Candidates are expected to have strong empirical econometrics skills (e.g. panel data, forecasting, program evaluation, quantile models, non-linear and discrete choice models).

b) Mathematical statistics and theoretical econometrics by developing novel proof techniques related to areas of interest at the intersection of machine learning and more traditional approaches. The candidate is expected to show a relatively broad range of strong mathematical skills and not be limited to one particular set of models or techniques. The statistical analysis of neural networks is of particular interest.

Salary and benefits:

This position is full-time and includes benefits. Salary is commensurate with experience.

Qualifications:

The successful candidate must possess a Ph.D. (by the start of the appointment) in Economics, Statistics, Machine Learning, Computer Science or related disciplines. More experienced candidates with a PhD completed over the past 5 years are also considered. The position is anticipated to begin in mid 2019 for one year with reappointment possible contingent upon satisfactory performance and productivity.

The University of California, Irvine is an Equal Opportunity/Affirmative Action Employer advancing inclusive excellence. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected categories covered by the UC nondiscrimination policy.

Application procedure:

Interested candidates should submit the required application materials listed below at: https://recruit.ap.uci.edu/apply/JPF04918

Application materials:

All candidates are required to submit
a) A cover letter with a clear statement of research interests
b) Curriculum Vitae
c) A representative academic paper using machine learning
d) Candidates applying for the empirical/computational track are also required to submit a GitHub repository with a relevant well-commented code sample and related documentation.
e) Statement of Contributions to Diversity - Statement addressing how past and/or potential contributions to diversity will advance UCI's Commitment to Inclusive Excellence.
f) Three letters of recommendation

We will conduct Skype interviews with the top candidates. Additional interviews may be conducted at the AEA Winter Meeting in Atlanta.

 

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