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Research Fellow at Stanford Law School
Company: Stanford Law School
- General Information
- Job Type: Other
- Location: Stanford, CA
- Educational Requirements: Bachelors Degree
Assist with the research of Professors Rob Daines, Daniel Ho, Daniel Kessler, and Alison Morantz at Stanford Law School. Designed for graduating seniors or recent college graduates, fellowships provide a unique opportunity for those considering graduate school, law school, and/or business school in the future.
Prior Research Fellows have matriculated to Ph.D. programs at Harvard, Stanford, Yale, and MIT, and law school at Harvard, Yale, Stanford, and Columbia. They have been drawn from a variety of undergraduate disciplines, including economics, political science, applied math, public policy, statistics, and computer science.
Successful applicants will be matched with a specific professor based on background and interests. As full-time Stanford University employees, fellows will receive a competitive salary and benefits package, including full medical and dental insurance, access to campus athletic and academic facilities, paid vacation time, professional development funds, and the capacity to audit Stanford courses and attend on-campus lectures and seminars free of charge.
Job responsibilities will vary by position, but involve all aspects of the research process including:
- Conceptualization of suitable empirical methodologies and models
- Collecting, managing, and structuring quantitative datasets
- Statistical analyses of complex datasets and interpretation of results
- Communication with government officials, industry stakeholders, and research collaborators
- Report writing and manuscript preparation
- Outstanding academic credentials and intellectual creativity
- Eagerness to take initiative and solve intricate problems
- Excellent time-management skills and ability to work effectively with minimal supervision
- Experience in a quantitative discipline such as economics, political science, finance, statistics, applied mathematics or engineering
- Exceptional research and analytical writing skills
- Programming experience in Stata, SAS, R, Python or other languages is preferred, but not required
- Prior research experience and coursework in the social sciences is preferred, but not required
How to Apply: There will be two rounds of application review. The deadline for the first round is 11:59PM PST on Sunday, December 2, 2012. The deadline for the second round is 11:59PM PST on Sunday, February 3, 2013. Applications will be evaluated on a rolling basis and preference will be given to first-round applicants. To apply, please do both of the following: (1) Send a resume, unofficial transcript, short writing sample, and at least two references with contact information in an email to email@example.com. Include a brief cover letter in the body of your email explaining your interest in the position. Be sure to list any statistical software packages (Stata, R, SAS, etc.) and/or programming languages (Python, Java, C++, etc.) with which you are familiar. Standardized test scores (e.g. GRE, LSAT, GMAT) will be considered, but are not required. (2) Submit your resume online via the Stanford jobs website http://jobs.stanford.edu/find_a_job.html - enter the job number 50105 in the keyword search field to locate this job posting and apply.