The Northwestern Institute on Complex Systems (NICO) and Kellogg School of Management at Northwestern University is looking for exceptional candidates to fill two open postdoctoral positions in data science, broadly defined.
The research will be conducted with the research group directed by Prof. Dashun Wang, with unique opportunities for collaborations with other excellent faculty at NICO, Kellogg and across Northwestern. The group currently focuses on a number of fundamental projects at the boundary of computational social science and network science, including science of science, social dynamics, as well as fundamental questions in complex systems. Our priority is to attract technically strong researchers who are also interested in asking bold, new questions with data. A stated passion in data is a must; excellent organizational and interpersonal skills are essential; a proven experience with large-scale datasets and/or complex systems modeling is a strong plus. We welcome applicants with strong background in fields including statistical physics, applied mathematics, machine learning, artificial intelligence, social network analysis, complex systems, or other closely related fields.
Qualifications: The successful candidate must hold a Ph.D. or expected PhD in Physics, Applied Mathematics, Computer Science, Information Science, or a closely related field.
How to apply: Candidates must submit to Dashun Wang (DashunWang [at] gmail.com) with subject heading “(your name) – Postdoc Application”, containing: 1) cover letter, describing your interest in and qualifications for this position; 2) curriculum vitae (including publications list); 3) two or three letters of recommendation emailed separately by the writers; 4) a link to the candidate’s professional webpage (if applicable).
Applications are reviewed on a rolling basis until the positions are filled. The start date is flexible.