A prestigious university is seeking a Causal Inference Postdoctoral Researcher to focus on network science and collaborate with top faculty. The role involves developing new theories, methods, and software while engaging in projects related to Health and Social Sciences. Candidates should hold a doctoral degree in a relevant field, with strong computational skills preferred. This is an opportunity to join the Center for Causal Inference in a vibrant academic environment in Philadelphia, with negotiable start dates.
Qualifications
Candidates should have a doctoral degree in biostatistics, statistics, or a related field.
Strong computational skills and expertise in causal inference or network science are desired but not required.
Start date and term are negotiable.
Responsibilities
Develop new theory and methods at the intersection of causal inference and network science.
Be an active member of the CCI, participating in meetings and the annual Summer Institute.
Skills
Strong computational skills
Expertise in causal inference or network science
Education
Doctoral degree in biostatistics, statistics, or a related field
Job description
A prestigious university is seeking a Causal Inference Postdoctoral Researcher to focus on network science and collaborate with top faculty. The role involves developing new theories, methods, and software while engaging in projects related to Health and Social Sciences. Candidates should hold a doctoral degree in a relevant field, with strong computational skills preferred. This is an opportunity to join the Center for Causal Inference in a vibrant academic environment in Philadelphia, with negotiable start dates.