Research Fellow

Qualifications:

• 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:

• CV
• Transcript(s) (unofficial is fine; please include all full-time programs)
• Project/code samples or Github

Our formal deadline was in February 2023, but we are still considering applicants on a case-by-case basis.

**The expected pay range for this position is $64,480 per annum. Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, and external market pay for comparable jobs.

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

Stanford is an equal employment 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 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.