Post by css-alpha on Dec 13, 2017 12:59:01 GMT -5
The U.C. Berkeley Data-Intensive Development Lab explores how novel sources of data, and new computational algorithms, can provide insight into the causes and consequences of economic development. We are currently soliciting applications for postdoctoral researchers, with appointments to begin in early- or mid-2018.
Postdoctoral researchers will work on interdisciplinary research challenges that lie at the intersection of development economics and statistical machine learning. Research activities will be overseen by Joshua Blumenstock (UC Berkeley School of Information), and performed in close collaboration with Sham Kakade (UW Computer Science), Jacob Shapiro (Princeton Politics and International Affairs), Dave Donaldson (MIT Economics), and Marshall Burke (Stanford Earth and System Science).
Qualified candidates should have a graduate degree in Computer Science, Economics, Statistics, or a related field. Strong technical, analytic, and computational skills are essential: all projects involve the analysis of large, complex data, and require proficiency in one or more programming languages such as Python, php, Java, or C (i.e., Stata or R alone is not sufficient).
Interested individuals should send the following materials to Joshua Blumenstock (jblumenstock@berkeley.edu): a CV, a cover letter describing research interests and prior relevant experience, two writing samples, and three letters of reference (or the names of references, if letters are not available). Review of applications will begin on by January 15, 2018.
Postdoctoral researchers will work on interdisciplinary research challenges that lie at the intersection of development economics and statistical machine learning. Research activities will be overseen by Joshua Blumenstock (UC Berkeley School of Information), and performed in close collaboration with Sham Kakade (UW Computer Science), Jacob Shapiro (Princeton Politics and International Affairs), Dave Donaldson (MIT Economics), and Marshall Burke (Stanford Earth and System Science).
Qualified candidates should have a graduate degree in Computer Science, Economics, Statistics, or a related field. Strong technical, analytic, and computational skills are essential: all projects involve the analysis of large, complex data, and require proficiency in one or more programming languages such as Python, php, Java, or C (i.e., Stata or R alone is not sufficient).
Interested individuals should send the following materials to Joshua Blumenstock (jblumenstock@berkeley.edu): a CV, a cover letter describing research interests and prior relevant experience, two writing samples, and three letters of reference (or the names of references, if letters are not available). Review of applications will begin on by January 15, 2018.