Postdoctoral Research Associate, Machine Learning Department-2014080
Are you passionate about helping governments and nonprofits be more effective with your AI/ML/Data Science skills? We currently have Post-Doc positions for recent PhDs in these areas and a passion for social impact. You will help lead educational/training programs, applied research projects with government agencies and nonprofits in education, public health, criminal justice, environment, economic development and international development, and perform research in areas such as interpretability, bias and fairness, and other machine learning methods focused on problems in social sciences and public policy with a strong emphasis on releasing the work through open source code, shared curriculum, and publications.
Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran.
Job Function: Post Doc / Fellow
Primary Location: United States-Pennsylvania-Pittsburgh
Time Type: Full Time
Organization: MLD: MACHINE LEARNING DEPARTMENT
Minimum Education Level: Doctorate or equivalent
Internal Number: 2014080
About Carnegie Mellon University
Carnegie Mellon (www.cmu.edu) is a private, internationally ranked research university with programs in areas ranging from science, technology and business, to public policy, the humanities and the arts. More than 12,000 students in the university’s seven schools and colleges benefit from a small student-to-faculty ratio and an education characterized by its focus on creating and implementing solutions for real problems, interdisciplinary collaboration and innovation. A global university, Carnegie Mellon’s main campus in the United States is in Pittsburgh, Pa. It has campuses in California’s Silicon Valley and Qatar, and programs in Africa, Asia, Australia, Europe and Mexico.