Assistant Professor
Complex Analysis
Seeking candidates with an active research program in complex analysis
whose interests complement the department’s existing strengths, including
geometric function theory, conformal geometry and mapping, Riemann surfaces,
complex dynamics, hyperbolic geometry, potential theory, and related areas.
Candidates should demonstrate teaching experience in undergraduate mathematics,
with opportunities to contribute to graduate mentoring, research, and service.
View Complex Analysis position details and apply
Assistant Professor
Computational Mathematics
Seeking candidates with an active research program in computational mathematics
whose interests complement the department’s existing strengths, including
numerical methods for partial differential equations, numerical analysis,
scientific computing, computational fluid dynamics, PDE-constrained optimization,
mathematics-based artificial intelligence and machine learning, scientific
machine learning, physics-informed machine learning, operator learning, AI
for
PDEs, digital twins, and related areas. Candidates should demonstrate teaching
experience in undergraduate mathematics, with opportunities to contribute to
graduate mentoring, research, and service.
View Computational Mathematics position details and apply
Assistant Professor
Mathematical Finance
Seeking candidates with a strong research program in mathematical finance,
including areas such as asset pricing, portfolio optimization, derivatives,
financial econometrics, stochastic and rough volatility, market microstructure,
systemic risk, financial networks, artificial intelligence and machine learning
in finance, climate finance, digital assets, decentralized finance, and robust
optimization. Candidates will have opportunities for interdisciplinary
collaboration, graduate student mentoring, external research funding, and
undergraduate and graduate teaching in mathematical finance and related areas.
View Mathematical Finance position details and apply
Assistant Professor
Statistics
Seeking candidates with a strong research program in statistics, with particular
interest in statistical learning and artificial intelligence, deep learning
and
foundation models, functional and longitudinal data analysis, Bayesian statistics,
biostatistics and biomedical data science, econometrics and financial statistics,
topological data analysis, time series, stochastic control and optimization,
and
applications involving large or complex data. Outstanding candidates in all
areas
of statistics are encouraged to apply, with opportunities for interdisciplinary
collaboration, graduate mentoring, external research funding, and teaching.
View Statistics position details and apply
