Washington University announces the seventeenth year of Modeling Interdisciplinary Inquiry, a postdoctoral fellowship program endowed by the Andrew W. Mellon Foundation, designed to encourage interdisciplinary scholarship and teaching across the humanities and social sciences. We invite applications from recent PhDs, DPhils, or D.F.As (in hand by June 30, 2017, and, no earlier than June 30, 2012) for a position as Fellow. In September 2017, the newly selected Fellow will join the University’s ongoing interdisciplinary programs and seminars. The Fellow will receive a two-year appointment with a nine-month academic year salary beginning at $54,152 per year. Postdoctoral Fellows pursue their own continuing research in association with a senior faculty mentor at WU. They will teach three undergraduate courses and collaborate in leading an interdisciplinary seminar on theory and methods for advanced undergraduates and beginning graduate students in the humanities and interpretive social sciences.
Applicants should submit, through Interfolio, a cover letter, a description of their research program (no more than 1800 words and accessible to those in other fields), a brief proposal for an interdisciplinary seminar in theory and methods, and a curriculum vitae. Applicants who have not completed their doctoral work should indicate, in their cover letter, how many chapters of their dissertation are complete and how complete the remaining chapters are. Applicants should also arrange for the submission of three confidential letters of recommendation, also via Interfolio. Please email us at firstname.lastname@example.org with additional questions.
Submit materials (starting on September 1, 2016) to Interfolio at the following link by December 5, 2016. apply.interfolio.com/35890
Washington University in St. Louis is committed to the principles and practices of equal employment opportunity and affirmative action. It is the University’s policy to recruit, hire, train, and promote persons in all job titles without regard to race, color, age, religion, gender, sexual orientation, gender identity or expression, national origin, veteran status, disability, or genetic information.