Fellowship Prize Residency

Max Planck-ASLH Dissertation Prize for European Legal History in Global Perspective

American Society for Legal History
Award Not specified
Closing date 61 days left · Jun 01, 2026
Location Global
For Individuals

About this opportunity

The Max Planck-ASLH Dissertation Prize for European Legal History in Global Perspective honors exceptional dissertations on topics in European legal history in global perspective and presented for PhD or JSD degrees awarded in the previous calendar year. Topics may include European legal interactions with people or places outside Europe, legal processes spanning Europe and other world regions, and developments in legal theory closely related to imperial, transnational, or trans-regional trends. The prize recipient receives a three-month residential fellowship at the Max Planck Institute for Legal History and Legal Theory in Frankfurt. The fellowship includes a monthly stipend (currently €2,700 for scholars with a PhD or JSD), round-trip airfare to Frankfurt (up to €1,500), and accommodation in an institute apartment (valued at €700 per month). Dissertations must be written in English. The timing of the period in residence at the Max Planck Institute is flexible and will be arranged in consultation with the Institute directors. Typically, the three-month period will take place in the fall or spring within a year or two of the date of the award.
3 - 4 mo

Who can apply

Applicant Types

individual

Project Locations

🇩🇪 Germany

Region

Global

Years from Degree

Up to 2 years

How to apply

Stages

  1. 1 single_stage

Required documents

cv · research_proposal · writing_sample

Review process

Committee review of dissertations awarded in previous calendar year

Additional benefits

  • travel_support
  • housing

External listing — not managed by a verified Grantory funder

External Application

This opportunity requires you to apply directly on the funder's website.

Apply on External Site

AI-Extracted Data

This opportunity was automatically extracted from an external source using AI. Details such as amounts, closing dates, and eligibility may be incomplete or inaccurate.

Always verify on the official source