I’m very happy to announce that our CMS department faculty search is live. As in previous years, we’re searching broadly — truly broadly. We’re looking across applied math and computer science both and expect to be able to make multiple offers. We’re interested in candidates in a variety of core areas, from distributed systems and machine learning to statistics and optimization (and lots of other areas). But, more generally, we look for impressive, high-impact work rather than enforcing preconceived notions of what is hot at the moment. Beyond the core areas of applied math and computer science, we are hoping to see strong applications in areas on the periphery of computing and applied math too — candidates at the interface of EE, mechanical engineering, economics, privacy, biology, physics, etc. are definitely encouraged to apply! As I said in my recent post, inventing new CS+X fields is something that Caltech excels at — it’s our brand.
I’m happy to announce that Caltech will be continuing its growth in Computing & Mathematical Sciences (CMS) this year. The ad is now officially up. Please spread the word!
The search will be considering strong applications from anywhere within Applied Math and Computer Science, since Caltech likes to hire based on impressive and high-impact work, rather than a preconceived notion of what area is interesting at the moment. Quoting from the ad: “Research areas of particular interest include applied mathematics, computational science, as well as computing.” You can’t get much broader than that! (I personally really hope to see some strong candidates in statistics, networked/distributed systems, and security/privacy, so if you’re from any of those areas and are on the fence about applying — please do!)
Also, for those EE folks out there, don’t let the fact that your degree isn’t in CS or Applied Math deter you from applying. Caltech has a very fuzzy interpretation of the boundaries between disciplines — many folks have joint appointments between CMS and EE, and many CMS faculty advise EE students (and vice versa).
I’m happy to announce that Caltech will be looking for faculty applicants in Electrical Engineering this year. Go here to see the official ad and to apply. For various reasons the announcement is going up late, so I hope that this will help to spread the word quickly…
The search will be looking for strong applicants from anywhere in EE systems, since Caltech likes to hire based on impressive and high-impact work, rather than a preconceived notion of what area is interesting at the moment. But, I think it’s fair to say we have a particular need on the networking / wireless side of things and the machine learning side of things. Also, there is a growing interest in power systems and energy issues. So, if you’re from any of those areas and you’re on the fence about applying, please do! But, the search is certainly not limited to those areas. Quoting from the ad: “research areas of interest include, but are not restricted to, signal processing, communications and information theory, control systems, networks, optimization, machine learning, large data systems, power systems, robotics and autonomous systems and cyber-physical systems.”
Also, if you have a degree from a department other than EE, don’t let that stop you from applying — Caltech has a very fuzzy interpretation of the boundaries between disciplines. While I’m not officially in EE, there are strong ties between EE systems and CS, as well as between EE systems and Applied & Computational Math (ACM) and Control and Dynamical Systems (CDS). Actually, the first two students that I graduated were EE students co-advised with EE faculty, and about half of the students in our RSRG group today are EE students. So, this is the next best thing to CS having a search, which unfortunately, we don’t this year (grumble, grumble).