Research Fellow, Regulation, Evaluation, and Governance Lab (RegLab) , Stanford Law School jobs in United States
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Inside Higher Ed · 3 weeks ago

Research Fellow, Regulation, Evaluation, and Governance Lab (RegLab) , Stanford Law School

Stanford University is hiring full-time pre-doctoral Research Fellows for the Regulation, Evaluation, and Governance Lab (RegLab). The role involves conducting research focused on machine learning and policy evaluation, collaborating with faculty and teams to produce impactful research outcomes.

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Responsibilities

Plan and perform research tasks requiring initiative and judgment: conceptualize suitable empirical methodologies and models
Collect, manage, and structure quantitative datasets
Conduct statistical analyses of complex datasets and interpret results
Design and implement state-of-the-art machine learning models, algorithms, and statistical models
Participate in literature searches, report writing and manuscript preparation
Present research findings to supervisor
Ensure compliance with research protocols
You may be asked to orient and train new staff or students

Qualification

Machine LearningStatistical AnalysisProgramming in R/PythonData ManagementResearch ExperienceAnalytical WritingSelf-guided LearningCommunication SkillsOrganizational SkillsCreativityProblem Solving

Required

A Bachelor's degree in an applicable quantitative field (e.g., computer science, data science, statistics, engineering, mathematics, economics, or a related field)
Creativity
Ability to quickly learn in a new work environment
Eagerness to take initiative and solve intricate problems
Ability to work under deadlines with general guidance
Exceptional research, analytical writing, and communication skills
Excellent organizational skills and demonstrated ability to complete detailed work accurately
Programming experience in R, Python, Stata, SAS, and/or other languages
Self-guided, self-learner, and engaged in the mission of the Lab

Preferred

MS degree preferred
Prior research experience and coursework in the empirical social sciences is preferred, but not required
Experience working with machine learning frameworks (TensorFlow, TF, PyTorch, Scikit Learn, etc.), NLP, computer vision, or related fields is a plus

Benefits

Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position.
At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website (https://cardinalatwork.stanford.edu/benefits-rewards) provides detailed information on Stanford’s extensive range of benefits and rewards offered to employees.

Company

Inside Higher Ed

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Inside Higher Ed is the online source for news, opinion, and jobs related to higher education.

Funding

Current Stage
Growth Stage
Total Funding
unknown
2022-01-10Acquired
2006-08-31Series Unknown

Leadership Team

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Stephanie Shweiki
Director, Foundation Partnerships
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