The Regulation, Evaluation, and Governance Lab (RegLab) at Stanford University is hiring a full-time pre-doctoral Research Fellow (Computational Science) to join our research team. This is a minimum one-year position, with the option of renewal.
This position is a great next step for those considering graduate school, law school, and/or business school in the future. Prior Research Fellows have been accepted by PhD programs in computer science, economics, and political science and JD programs at top schools (e.g., Harvard, Stanford, Princeton, Yale). In recent years, fellows have been coauthors on RegLab publications for PNAS, JAMA Health Forum, Nature Sustainability, the American Economic Journal: Economic Policy, the American Law and Economics Review, the Journal of Law, Economics, and Organization, ACM FAccT, the Journal of Empirical Legal Studies, and the Stanford Law Review.
About Us: Stanford RegLab is a social impact lab that partners with government and nonprofits to use machine learning and data science to modernize the public sector. We are an interdisciplinary team of data scientists, social scientists, engineers, and lawyers who are passionate about building high-impact demonstration projects for the future of governance. Some of our partners include the Environmental Protection Agency (EPA), the Internal Revenue Service (IRS), the Department of Labor (DOL), and the Santa Clara County Public Health Department (Covid-19 response).
As a junior member of our research team, you will:
Work closely with the Faculty Director, Senior Data Scientist, and teams of fellows and students to drive forward a diverse research program focused on machine learning and policy evaluation
Conceptualize suitable empirical methodologies and models
Collect, manage, and structure quantitative datasets
Conduct statistical analyses of complex datasets and interpretation of results
Report writing and manuscript preparation
Design and implement state-of-the-art machine learning models, algorithms, and statistical models, while leading the collection of new data and the refinement of existing data sources.
Have the opportunity to receive co-authorship on research papers
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)
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
Exceptional research, analytical writing, and communication skills
Programming experience in R, Python, Stata, SAS, and/or other languages
Prior research experience and coursework in the empirical social sciences is preferred, but not required
Self-guided, self-learner, and engaged in the mission of the Lab
Experience working with machine learning frameworks (TensorFlow, TF, PyTorch, Scikit Learn, etc.), NLP, computer vision, or related fields is a plus
Application Instructions: To be considered, please submit the following items along with your online application:
Project and code samples or Github
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.
Stanford is an equal opportunity employer and all qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other characteristic protected by law.
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Located between San Francisco and San Jose in the heart of Silicon Valley, Stanford University is recognized as one of the world's leading research and teaching institutions. Leland and Jane Stanford founded the University to "promote the public welfare by exercising an influence on behalf of humanity and civilization." Stanford opened its doors in 1891, and more than a century later, it remains dedicated to finding solutions to the great challenges of the day and to preparing students for leadership in a complex world. The University's thriving diverse community is comprised of nearly 7000 undergraduate students, 12000 graduate students, 2000 faculty members, 1900 postdoctoral scholars, and over 11,000 academic and administrative staff in seven schools including several interdisciplinary research centers and institutes. The campus spreads over 8000 contiguous acres and nearly all undergraduates live on campus. Stanford offers bachelor's and master's degrees in addition to doctoral degrees (PhD, MD, DMA and JD) plus a number of professional and continuing education programs and certifications. More at http://facts.stanford.edu and http://www.stanford.edu. Stanford is an equal empl...oyment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Stanford also welcomes applications from others who would bring additional dimensions to the University’s research, teaching and clinical missions.