Assistant Professor in Applied Mathematics

The Department of Applied Mathematics at the University of Colorado Boulder (CU Boulder) invites applications for a tenure-track faculty position at the Assistant Professor level to begin August 2027. We seek candidates working in computational mathematics or physical applied mathematics (nonlinear waves, dynamical systems, applied partial differential equations) to sustain and grow the department's long-standing strengths in these areas. We are especially interested in candidates whose research connects to modern methods and applications, including machine learning/artificial intelligence and quantum science.
CU is an Equal Opportunity Employer and complies with all applicable federal, state, and local laws governing nondiscrimination in employment. We are committed to creating a workplace where all individuals are treated with respect and dignity, and we encourage individuals from all backgrounds to apply, including protected veterans and individuals with disabilities.

Our Computational Mathematics group is known for its contributions to the numerical analysis of partial differential equations, spectral methods, optimization, high performance computing, and fast algorithms, with applications spanning inverse problems, data assimilation, imaging and signal processing, and machine learning. Our Applied Nonlinear PDEs and Dynamics group has a strong tradition in wave phenomena, dynamical systems, partial differential equations, and network science, with applications spanning fluid dynamics, condensed matter, optics, and plasma physics, as well as social and physical networks.

This search comes as the department looks to renew and extend these traditions.

Candidates for this position must hold a Ph.D. or equivalent degree in mathematics, applied mathematics, physics, or a related field by the start date of the position.

We seek candidates with a strong research record in computational mathematics or physical applied mathematics (e.g., nonlinear waves, dynamical systems, applied partial differential equations, asymptotic methods, and mathematical physics more broadly), together with excellent teaching and communication skills.