| Successful applicants will be supervised by Roy Lederman (https://roy.lederman.name/) and affiliated with the Department of Statistics and Data Science, the Program in Applied Mathematics, and/or the Institute of Quantitative Biology (QBio). Research opportunities are available in the mathematics of data science and machine learning, inverse problems in biology and imaging (such as cryo-Electron Microscopy (cryo-EM)), and computational mathematics. Collaboration with additional members of the Department of Statistics and Data Science, the Program in Applied Mathematics, the Department of Mathematics, and the Institute of Quantitative Biology (QBio) on theory and applications, promoting interaction between programs will be encouraged.
Skills and Qualifications:
* Originality, independence, leadership, collegiality, and genuine passion for science.
* Ph.D. (or expected Ph.D.) in Mathematics, Applied Mathematics, Statistics, Physics, Computer Science, Electrical Engineering (signal processing or information theory), or related area.
Application materials should include:
* Research Statement
* 3 recommendation letters
* Curriculum Vitae
* Publication list
* Optional: Cover letter, which may include a brief note pointing to specific work or interests related to this ad.
Please note that the Mathematics department has a separate application for Gibbs Assistant Professors (NTT) at (https://www.mathjobs.org/jobs/Yale/GAP). Applicants for the Gibbs positions who qualify for this postdoc position are welcome to apply to both positions.
Yale is an affirmative action equal opportunity employer. Yale values diversity among its students, staff, and faculty and strongly welcomes applications from women, persons with disabilities, underrepresented minorities, and protected veterans.
We recommend applying by December 31th, 2021. Earlier applications are welcome. |
finished (2021/11/11, finished 2022/07/02, listed until 2022/05/11)