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New York University, New York, NY, USA

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"Part-time Lecturer, Causal Inference"

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Part-time Lecturer, Causal Inference

NYU Paris is seeking a part-time lecturer to teach an expected undergraduate course in Data Science, Causal Inference. The course is held at NYU academic center in Paris and is offered to undergraduate students.

Language of instruction: English

Teaching commences in January 2026; courses meet for 2.5 hours per week for a 14.5 week term. Lecturers will be expected to teach an additional recitation session for 1.5 hours per week. Instructors should be prepared to teach in-person and simultaneously to be prepared for remote instruction should circumstances require it. NYU uses Zoom as its primary platform for remote instruction.

Causal Inference

Prerequisite: Intro to Data Science

Teaches the fundamentals of how to reason about causality and make causal determinations using empirical data. Introduces the counterfactual framework of causal inference and then considers a variety of approaches, starting with the most basic experimental designs to more complex observational methods, for making inferences about causal relationships from the data. Addresses questions about data generation and interpretation and provides hands-on implementation of causal inference techniques with real data sets. Problem sets will contain a mixture of both theoretical and applied questions in order to reinforce key concepts. Examines theoretical concepts and their applications; uses R or Python programming language.

About NYU and NYU Paris

Founded in 1831, New York University is the largest private university in the United States. The University has degree-granting campuses in New York, Abu Dhabi, and Shanghai and operates 11 global academic centers and research programs in more than 25 countries. NYU Paris is one of 11 study away academic centers in NYU's global network. Students at NYU Paris participate in an immersive study away program while earning credits towards their degree. To learn more, please visit NYU Paris.

Candidates must have a Ph.D. in Data Science or a related field, and two to three years relevant teaching experience.

The appointed person will have full responsibility for teaching and coordinating the course. The course is taught to a small group and is offered to undergraduate students, mostly in their second or third year of study. All students are NYU students enrolled in NYU degrees in New York, Abu Dhabi or Shanghai who come to study at NYU Paris for one semester. Classes take place at our Academic Centre in Paris.

Candidates must be eligible to work in France.

All applications must be made online through Interfolio ByCommittee at apply.interfolio.com/165229. Applications must include: (1) a cover letter, (2) C.V., and (3) course outline or synopsis; please be sure to note in particular any relevant teaching experience.

Current NYU Paris faculty are encouraged to apply.

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