Department/Area: Institute for Quantitative Social Science (IQSS) / Laboratory for Innovation Science at Harvard University (LISH)
The Laboratory for Innovation Science at Harvard University (LISH) is soliciting applications for one or more post-doctoral fellowships aimed towards quantitative and experimental social science (economics, management, psychology and sociology). LISH is a Harvard-wide research program lead by faculty co-directors Karim Lakhani, Harvard Business School; Eva Guinan, Harvard Medical School; and David Parkes, Harvard School of Engineering and Applied Sciences. LISH is an interdisciplinary research lab that is focused on developing a science of innovation through the application of quantitative and field experimental methods on innovation problems faced by our partners (NASA, Harvard Medical School, Broad Institute, Department of Defense Research Labs, TopCoder and various corporations). Current research topics for the lab include incentives for innovation, governance and management of innovation systems, and creativity and problem solving. Our work is primarily empirical; a typical project will involve: conceiving a suitable research question, designing a suitable field experiment, working with collaborating partners, analyzing historical data, analyzing experimental data and writing papers.
The Post-Doctoral Fellow will work under the supervision of LISH Directors and affiliated faculty and will have the opportunity to collaborate with LISH staff, postdocs, and doctoral students. The Fellow will assist LISH faculty on a new NSF sponsored project aimed at understanding the impact of Autonomous Vehicles (AVs) on the productivity of knowledge workers. The tasks included in this project will range from the analysis to existing time-use data, to the design of new surveys and field experiments.
The position has no teaching or administrative duties.
LISH is looking for candidates with diverse backgrounds and/or new perspectives.
This is a grant-funded position expected to last for three years with reappointments made annually.
A PhD in economics, management, psychology, sociology, computer science and or a related field is required. PLEASENOTE: If you have obtained your Ph.D. in the past 12 months you must be able to provide a certificate of completion from the degree-granting institution OR a letter from the institute's registrar stating all requirements for the degree have been successfully completed and should verify the date the degree has been conferred. No exceptions.
Experimental design: treatment selection, power analysis
Statistical analysis: panel data methods, linear and generalized linear regression
Strong quantitative skills with proficiency in a suitable numerical analysis environment, e.g., MATLAB, R, or, Stata
Programming/scripting knowledge suitable for processing raw data for analysis, e.g., text manipulation
Strong team player with excellent communication skills
Contact Email: firstname.lastname@example.org
Applications will be accepted until the position is filled. Please email the following to Nina Cohodes, email@example.com with subject
Internal Number: 8659
About Harvard University
Harvard University is devoted to excellence in teaching, learning, and research, and to developing leaders in many disciplines who make a difference globally. The University, which is based in Cambridge and Boston, Massachusetts, has an enrollment of over 20,000 degree candidates, including undergraduate, graduate, and professional students. Harvard has more than 360,000 alumni around the world. The University has twelve degree-granting Schools in addition to the Radcliffe Institute for Advanced Study, offering a truly global education. Established in 1636, Harvard is the oldest institution of higher education in the United States.