PhD Student Fellows
Duration: 3 months.
Location: FLAME University, Pune, India
The Centre for Experimental Social Sciences (CESS) Nuffield – FLAME offers the opportunity for doctoral students interested in doing experimental work in India to spend time at our lab through our PhD Student Fellows program. Aimed at allowing doctoral students to further their research in the social sciences using experimental techniques, PhD Student Fellows can collaborate with the team at the CESS India through two different avenues:
Financially-supported Fellowships: The PhD Student Fellow will propose an experiment to be carried out at CESS that will be co-authored with a Principal Investigator from FLAME University. CESS will provide all the technical, logistical, and financial support in refining the experimental design, deploying the experiment, and analyzing the data. Working closely with the FLAME Principal Investigator and the team at CESS, the Fellow will be expected to produce a publication-ready research paper shortly after all the data has been analyzed. The Fellow will also have the opportunity to run a second, independent project fully funded by CESS. The deadline for this fellowships is XXXX and successful applicants will be contacted by XXXX
Independent Research Project: With the technical and logistical support from CESS, the PhD Student Fellow will have the opportunity to carry out an experiment at the CESS facilities, subject to the lab’s operating rules. The costs associated with the experiment, such as payments for experimental subjects and the costs of hiring a programmer, will be the sole responsibility of the Fellow. CESS will be accepting applications for this fellowship on an ongoing basis.
Current doctoral students interested in applying to the PhD Student Fellows program can submit their application at firstname.lastname@example.org with the following information:
• Most recent resume/CV
• 2-page research proposal
• 1-page statement of relevant coursework and experience
• 1 academic letter of recommendation, preferably from the faculty adviser most familiar with the student’s work.
For more information please contact Andrés L. Parrado at email@example.com
Young Scholars program
The Young Scholars Program aims to equip the next generation of Indian social scientists with the tools they need to apply experimental techniques in the design and implementation of innovative social science research projects. The Scholars will have the unparalleled opportunity to travel to Nuffield College, University of Oxford for two weeks to learn directly from leading scholars in the field. Through a combination of interactive lectures and hands-on software development, each cohort will join a network of like-minded individuals who aim to apply rigorous analytical and experimental methods to fundamental questions about human interaction and decision-making.
As part of our commitment to promote and support the use of experimental methods in social science research, our Centre will conduct a yearly Winter School in January. The Winter School is a two-week course that covers the design and implementation of social science experiments, as well as the analytical and technical tools necessary for their support. After the Winter School participants will understand experimental designs in field, lab-in-the-field, and online set-ups and will become acquainted with the research at the frontier of experimental social sciences. They will also be able be familiar with major experimental software like oTree and have the capacity to begin designing their own experiments.
Participants should have a basic background in research design and statistics. For example, with respect to research design, they should understand basic concepts such as exogeneity, control group, and confounding effects. With respect to basic statistics, they should understand the principles of ordinary least squares regression; how to calculate simple measures of association; and have some familiarity with a statistical software package. The hands-on experimental data analysis lab sessions will use R. Participants that are not familiar with R are strongly advised to attend the optional Introduction to R, taught in the first week.