American University in Washington, D.C. has two full-time tenure-line positions available:
An ideal candidate will have facility with computation, and can identify specific prospects for on-campus collaboration, possibly interdepartmental. We are particularly interested in candidates who can assist colleagues who need to deal with data sets that are too large, distributed, or heterogeneous to be amenable to traditional methods of analysis. From a mathematician, we also seek a research program with deep roots in mathematics. From a statistician, we seek a familiarity with Bayesian modeling. We are open to researchers who ignore traditional disciplinary boundaries.
I like the bits about computation, interdepartmental, and Bayesian modeling. My former colleagues at Berkeley would be spinning in their theorems were they to see this (but, don’t worry, I doubt they read blogs). I really do think that computation is more important than theorem-proving. Both are important (for example, without theory, there’d be no HMC, no Nuts, and thus no Stan), but if you have to pick something to emphasize, I think computation is the way to go.
I have warm feelings about AU because that’s where I took my first college course, over 35 years ago. And, amazingly enough, Mary Gray, a math professor who was very nice to me back then, is still teaching in the math department there! As she points out, D.C. is a great place for statisticians and their department is a friendly place that has become very supportive of faculty research.