"CEAS Digital Tokugawa Lab: Postdoctoral Associate Position"

The Council on East Asian Studies at Yale University invites applications for postdoctoral associate positions in the CEAS Digital Tokugawa Lab. The appointment period is from September 1st, 2024 - August 31st, 2025. An earlier start to the appointment may be possible on a case-by-case basis.

The Digital Tokugawa Lab is a working group of one faculty member (Fabian Drixler) and up to four postdoctoral or postgraduate associates who collaborate on one or more shared projects for at least one year. The main project of the Digital Tokugawa Lab has thus far been the Digital Atlas of Tokugawa Japan, which is in the advanced stages of completion. Projects for 2024-2025 will reflect the interest of successful candidates and may fall into three broad categories: historical GIS, historical demography, and climate history.

Historical GIS projects may include:

• Completing the first public version of the Digital Atlas of Tokugawa Japan or building new capabilities on top of it.
• Building a Digital Atlas of Meiji Japan based on advanced unpublished work by the Lab.
• Building a highly detailed map of Japan’s changing coastlines and inland bodies of water across several centuries, based on advanced unpublished work by Fabian Drixler.
• Extending the coastline changes back to the medieval or ancient period.

Historical demography projects may include:

• Reconstructing the population of Japan from 1600-1925. Like the Digital Atlas, this project will be highly resolved in space and take novel approaches to modeling uncertainty. It will use and potentially expand a large collection of data compiled by Fabian Drixler and deploy it in several novel estimation techniques.
• Reconstructing fertility change and household patterns in Tokugawa Japan.
• A mortality atlas for Tokugawa Japan, drawing primarily on kakochō time series and potentially including survey techniques.

Climate history projects may include:

• Reconstructing the length of growing seasons in Tokugawa Japan.
• Mapping climate-related disasters.
• Integrating the climate history of Japan with that of neighboring areas, in particular, Korea.

Applicants are also welcome to propose their own projects if they are either closely connected to one of these themes or concern digital formats for effectively conveying existing insights into Tokugawa history. However, the spirit of the lab is fully collaborative; it is not a space to pursue solitary projects, whatever their intellectual promise.

Postdoctoral associates are expected to devote 30 hours per week to the collaboration, and are free to spend the remainder of their time on their own research. The postdoctoral associate compensation policy can be found here: https://postdocs.yale.edu/policies/postdoc-compensation

The Digital Tokugawa Lab is looking for several skillsets: fluent Japanese, Japanese history (esp. early modern), historical geography, GIS, programming (esp. Python) and computer science, statistics and data science, text mining, natural language processing, demography, economics, environmental history, and hydrology. Excellence in writing is an especially desirable skill. There is no expectation that individual applicants have expertise in all these areas, or even in both digital methods and Japanese history; but a strong interest in both the methods and the content is a requirement. One goal for the program is to give postdoctoral associates opportunities for developing new skills. Fluency in Japanese is an important advantage, but applications are also encouraged from candidates with complementary technical expertise and a strong interest in learning about Japanese history.

For questions, please contact fabian.drixler@yale.edu.

To apply, please submit a cover letter highlighting your interest in this collaboration as well as your relevant skills; CV; dissertation abstract; transcripts; and 2 letters of recommendation. Letters of recommendation must be uploaded via a dossier service or from the recommenders directly. They may be submitted later than the rest of the application if the applicant supplies contact details for the recommenders.

All application materials must be submitted online through Interfolio: https://apply.interfolio.com/141226