Last review date:Friday, Jan 24, 2020 at 11:59pm (Pacific Time) Applications received after this date will be reviewed by the search committee if the position has not yet been filled.
Final date: Friday, Feb 7, 2020 at 11:59pm (Pacific Time) Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.
The Data-Intensive Development Lab at the School of Information, University of California, Berkeley, seeks applications for a Specialist position.
The Data-Intensive Development Lab explores how novel sources of data, and new computational algorithms, can promote sustainable global development. Our faculty, students, researchers, and partners bring methodological expertise in machine learning, statistics, and large-scale analytics to address the challenges facing the world's poor. For more information, please visit http://didl.berkeley.edu/
This is a full time one-year position with the possibility of being extended subject to performance and budgetary approval. Anticipated start date is April 2020.
The employee will work on interdisciplinary research challenges that lie at the intersection of development economics and statistical machine learning. Activities will be supervised by Joshua Blumenstock (UC Berkeley School of Information), and will contribute to existing research on topics including:
Social networks in developing economies
Measuring poverty and vulnerability using novel data and computational methods
Fairness and privacy in machine learning
Understanding the consequences of violence and conflict on welfare
Financial inclusion, and new approaches to digital credit
The employee will assist with processing and cleaning administrative data; conducting quantitative and exploratory data analysis; constructing data visualizations; documenting code and other research protocols; improving the efficiency and run-time of computational algorithms. The analysis will be integrated into ongoing research activities into applications of machine learning to understanding global poverty and inequality.
The employee will be supervised by Joshua Blumenstock and will provide weekly written update reports on progress.
The position is based in Berkeley, California.
Basic Qualifications: Bachelor's or equivalent international degree or enrolled in a Bachelor's (or equivalent international degree) program granting program at the time of application.
Additional Qualifications (by start date): Bachelors or equivalent international degree.
Preferred Qualifications: Degree in Computer Science, Economics, Statistics, or a related field. Strong technical, analytic, and computational skills. Proficiency in one or more object-oriented programming languages. Proficiency in Python is preferred. Experience with applied machine learning and econometrics. Experience in analysis of large, complex data.
Salary: Salary and title will be commensurate with qualifications and experience and based on UC Berkeley salary scales. The anticipated salary range is $72,900-152,800 Application Procedure: To apply to go: https://aprecruit.berkeley.edu/JPF02466 Please direct all questions for this position to Joshua Blumenstock, [email protected]
Additional materials may be requested of finalists.
Letters of reference may be solicited of finalists. We will seek your permission before contacting your references. All letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality (apo.berkeley.edu/ucb-confidentiality-policy) prior to submitting their letters.
This position will remain open until filled.
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: http://policy.ucop.edu/doc/4000376/NondiscrimAffirmAct.
Curriculum Vitae - Your most recently updated C.V.
Your Most Recent Transcript - A transcript may be solicited of finalists. (Optional)
Example of code written previously (Optional)
3 required (contact information only)
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