Description
The Gibbs Assistant Professorships in Applied and Computational Mathematics (ACM) are designed for recent Ph.D. recipients who show exceptional promise in research in these fields. We seek scholars who develop new mathematical ideas and computational methods that advance modeling, simulation, inference, and optimization. We welcome work across the methodological breadth of the field, from foundational analysis and algorithm design to the development and study of effective computational methods, including research that uses or develops AI and machine learning to advance mathematical discovery and computational methods for science and engineering. We also welcome methodological advances motivated by problems across science and engineering, including work developed through close engagement with particular applications.
The department plans to make several offers of Gibbs Assistant Professorships. Appointments are for a three-year term, with an anticipated start date of July 1, 2027. The teaching load for Gibbs Assistant Professors will be kept light to allow ample time for research. The load is two one-semester courses per year, one each semester. One of these may be a graduate course in the instructor’s research area.
Qualifications
Ph.D. or equivalent degree in applied or computational mathematics, mathematics, computational science and engineering, or a related field is required by the start of the appointment.
Application Instructions
Required application materials:
- Cover letter
- Curriculum Vitae
- Research Statement
- Teaching Statement
- Publication List
- Three reference letters (one of the letters should address teaching)
Review of applications will begin on December 15, 2026, with an application deadline of January 31, 2027.
Inquiries may be sent to Eric Michielssen (eric.michielssen@yale.edu).
Application Process
This institution is using Interfolio's Faculty Search to conduct this search. Applicants to this position receive a free Dossier account and can send all application materials, including confidential letters of recommendation, free of charge.
Compensation & Benefits Information
Information on salary ranges and benefits is available here.