In the fall, I write a jobs post predicting the upcoming CS faculty job market and giving suggestions and links. In the spring I used to crowdsource a list of where everyone got jobs but have since outsourced the crowdsource to Grigory Yaroslavtsev. Let's start with a few announcements.
FOCS in Chicago will have a Graduating Bits on Sunday, October 27 from 12-2 PM. If you have job openings for postdocs and researchers the FOCS organizers are collecting them here, The CATCS also maintains a Theoretical Computer Science Jobs posting site. You are also free to add pointers to theory-related job listings as comments to this post. More generally in CS, there is the CRA Database of Job Candidates and the CRA and ACM job postings.
MohammadTaghi Hajiaghayi is organizing a virtual theory jobs panel in November including yours truly. I'll post details here and on social media when it's finalized.
If you are a bit more senior, the Simons Institute is looking for a new director.
Last year I suggested AI (which by the way just won two Nobel Prizes) wasn't dramatically affecting the CS faculty job market yet but
Many see programming, rightly or wrongly, as one of the first careers that AI will displace, which may reduce enrollment in the future, as offshoring fears drove CS enrollment down 20 years ago
It didn't take long. In two years we have gone from nearly all of our CS graduates getting jobs in the field to many of them struggling to get internships and jobs in the top companies if at all. If the past is any guide, a weak tech job market leads to fewer majors which leads to fewer slots for CS faculty. We'll start to see these trends this year and they will accelerate quickly if the tech jobs market doesn't recover.
Areas related to data such as Artificial Intelligence, Data Science and Cybersecurity, will draw the most interest. Best if you can tie your research to those areas, or at least that you are open to teaching in them.
Have a well-designed website with all your job materials and links to your papers. Make sure your Google Scholar, LinkedIn and GitHub (if relevant) sites are accurate and up to date. Make a short video describing your research to a general CS crowd. Take advantage of all the links above. Network at FOCS if you can make it. And start early.