Rima Alaifari

I am an Assistant Professor for Applied Mathematics at ETH Zürich. I mainly work in the fields of applied analysis and inverse problems. My research interests include stability analysis and regularization of inverse problems, tomographic reconstruction, applied harmonic analysis and signal processing.

Open Positions

If you are interested in a Postdoc position you can apply directly via email including your CV, your list of publications and a research statement. Prospective candidates are expected to have a strong background in applied harmonic analysis, inverse problems, deep learning or a related field.


June 2018

Invited Talk at the International Conference on Applied Mathematics at City University of Hong Kong

May 2018

Invited Talk at the Seventh International Conference on Computational Harmonic Analysis. Nashville/TN, USA

Invited Talk at the 9th International Conference on Inverse Problems: Modeling and Simulation. Cirkewwa, Malta

Short CV

Since 10/2016 – Assistant Professor for Applied Mathematics at ETH Zürich

01/2016-09/2016 – ETH Postdoctoral Fellow (cofunded through FP7 Marie Curie Actions)

2014-2016 – D-MATH Postdoctoral Fellow at ETH Zürich

2012–2014 – Ph.D. fellow of the Research Foundation Flanders (FWO)

2010–2014 – Ph.D. in Mathematics under the supervision of Prof. Ingrid Daubechies and Prof. Michel Defrise, Vrije Universiteit Brussel
Ph.D. thesis on “Analysis of the truncated Hilbert transform arising in limited data computerized tomography”

2005–2010 – Bachelor and Master of Science in Applied and Industrial Mathematics, Johannes Kepler University, Linz


2017 Fall Numerical Methods for Computational Science and Engineering

2016 Fall Seminar in Applied Harmonic Analysis: Frame Theory and Phase Retrieval

2016 Spring Inverse Problems, Lecture Notes

2015 Fall Mathematics of Computerized Tomography

2013 Fall – Calculus II

2012 Spring – Mathematical Methods of Physics


Get in Touch

Feel free to send me an e-mail: rima.alaifari@math.ethz.ch

”If people do not believe that mathematics is simple, it is only because they do not realize how complicated life is.“— J. L. von Neumann

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