Posted on Fri, 09/20/2024 - 13:17

Important Info

Faculty Sponsor (Last, First Name): 
Johari, Ramesh
Other Mentor(s) if Applicable: 
Guido Imbens, Stefan Wager, and other faculty of the Stanford Causal Science Center
Stanford Departments and Centers: 
Mgmt Sci & Engineering
Graduate School of Business
Postdoc Appointment Term: 
9-12 months for initial appointment, with an expected renewal for an additional 9-12 months contingent on satisfactory progress
Appointment Start Date: 
7/1/2025, or sooner if an appropriate candidate is available
Group or Departmental Website: 
http://datascience.stanford.edu/causal
http://datascience.stanford.edu
How to Submit Application Materials: 

Please submit your materials at the following link: https://forms.gle/v5dk3gLBhnXfudYw9

Does this position pay above the required minimum?: 
Yes. The expected base pay range for this position is listed in Pay Range field. The pay offered to the selected candidate will be determined based on factors including (but not limited to) the qualifications of the selected candidate, budget availability, and internal equity.
Pay Range: 
$75,000

We are seeking postdoctoral researchers with a focus on developing statistical, machine learning, and causal inferential methods with applications to online platforms and marketplaces. This postdoctoral position is hosted by the Stanford Causal Science Center (SC^2), a center within Stanford Data Science.  SC^2 is directed by Prof. Guido Imbens, Economics and Graduate School of Business; Prof. Ramesh Johari, Management Science and Engineering; and Prof. Stefan Wager, Graduate School of Business.  Depending on the specific topics of interest, the postdoc will work with one or more faculty affiliated with SC^2.  In addition, this position includes the unique opportunity to collaborate with data scientists at Airbnb.

Areas of research focus may include:

  • Novel approaches to A/B testing and experimentation in marketplaces
  • Development and application of observational causal inference methods for platforms
  • Guidance and measurement of data-driven pricing
  • Data-driven design of rating and feedback systems
  • Design and evaluation of ranking and recommendation systems

Our unique alignment between faculty in SC^2 and data scientists at local companies, such as Airbnb, provides an exciting opportunity to develop an innovative research agenda while impacting practice.  We expect successful postdoctoral scholars will emerge as experts at the interface between the cutting edge of data scientific methods, and their application in online platforms and marketplaces.

The postdoc will be expected to help define the research questions of interest, and lead both empirical and methodological research efforts towards publication in concert with faculty and collaborators. Teaching is not required as part of this position.

Required Qualifications: 
  • Strong mathematical background, including expertise in one or more of: statistics, econometrics, causal inference, machine learning
  • Ph.D. (or expected completion by Summer 2025) in computer science, economics, operations research, statistics, or related fields
  • Prior experience working with data, including expertise with computational methods and appropriate software platforms
  • An interest in applied impact with applications in online platforms and marketplaces
Required Application Materials: 
  • A  paragraph (1500 characters or less) describing why you are a good fit for the position
  • Current CV
  • One representative publication or working paper
  • Contact information for two references

 

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.