Thanks for your interest in the Research Fellow (Computational Science) Regulation, Evaluation, and Governance Lab (RegLab) , Stanford Law School position.
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Qualifications:
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A Bachelor's or Master’s degree in a relevant quantitative field (e.g., computer science, data science, statistics, engineering, mathematics, economics, or a related field)
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Outstanding academic credentials and intellectual creativity
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Eagerness to take initiative and solve intricate problems
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Excellent time-management skills and ability to work effectively with minimal supervision
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Exceptional research, analytical writing, and communication skills
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Programming experience in R, Python, Stata, SAS, and/or other languages
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Prior research experience and coursework in the empirical social sciences is preferred, but not required
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Self-guided, self-learner, and engaged in the mission of the Lab
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Experience working with machine learning frameworks (TensorFlow, TF, PyTorch, Scikit Learn, etc.), NLP, computer vision, or related fields is a plus
Salary and Benefits: Salary is competitive. Stanford provides excellent retirement plans, time-off, and family care resources, which you can read more about here: https://cardinalatwork.stanford.edu/benefits-rewards
Application Instructions: To be considered, please submit the following items along with your online application:
The deadline for the first round is 12pm PST on Monday, November 22, 2021. The deadline for the second round is 12pm PST on Monday, December 20, 2021. Applications will be evaluated on a rolling basis and preference will be given to first-round applicants.
Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of the job.
Stanford Law School seeks to hire the best talent and to promote a safe and secure environment for all members of the university community and its property. To that end, new staff hires must successfully pass a background check prior to starting work at Stanford University.