Causal Inference Postdoctoral Researcher - Network Science

Inside Higher Ed; Philadelphia (Philadelphia County); Sur place; USD 50 000 - 70 000; Plein temps

Résumé du poste

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.

Responsabilités

• 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.

Connaissances

Strong computational skills

Expertise in causal inference or network science

Formation

Doctoral degree in biostatistics, statistics, or a related field

Description du poste

Overview

Causal Inference Postdoctoral Researcher - Network Science

Location: University of Pennsylvania - School of Medicine

Open Date: Dec 16, 2025

Deadline:

Faculty Mentor: Eric Tchetgen Tchetgen

Department: Biostatistics, Epidemiology and Informatics

Open to applications from U.S. citizens and foreign nationals

The Center for Causal Inference (CCI) is a research center in the Department of Biostatistics, Epidemiology and Informatics in the Perelman School of Medicine of the University of Pennsylvania. The CCI is a multidisciplinary center that includes faculty, postdocs, and graduate students from Biostatistics, Statistics, Epidemiology, Criminology, Computer Science, Philosophy, and other disciplines. The mission of the CCI is to be the leading center for research and training in the development and application of causal inference theory and methods, with far-ranging applications in Health and Social Sciences.

The position is for a postdoctoral researcher in causal inference and network science with a focus on spreading processes on networks (e.g., infectious diseases). The postdoctoral researcher is expected to collaborate on methodological projects under the mentorship of CCI co-director Eric Tchetgen Tchetgen, with additional mentorship from Jukka-Pekka "JP" Onnela (Harvard), Victor De Gruttola (UC San Diego), and Ravi Goyal (UC San Diego).

Duties and Responsibilities

• Develop new theory and methods at the intersection of causal inference and network science; develop software; and potentially collaborate on applied projects in Health and Social Sciences.
• Be an active member of the CCI, for example by participating in the weekly working group meeting and the annual Causal Inference Summer Institute.

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.

Application Instructions

• Applicants should submit a cover letter, CV, Research Statement, and contact information for three references.
• To apply, visit https://apply.interfolio.com/179205

Equal Employment Opportunity Statement

The University of Pennsylvania is an equal opportunity employer. Candidates are considered for employment without regard to race, color, sex, sexual orientation, religion, creed, national origin (including shared ancestry or ethnic characteristics), citizenship status, age, disability, veteran status or any class protected under applicable federal, state, or local law.