The High Energy Physics and the Laser Interferometer Gravitational-wave Observatory groups at the Massachusetts Institute of Technology (MIT) are seeking applicants for postdoctoral research within our groups. This is part of our newly funded Accelerated AI Algorithms for Data-Driven Discovery (A3D3) Institute. A3D3 is a nationwide, distributed research Institute funded by the National Science Foundation as part of its Harnessing the Data Revolution Big Idea program. The focus of the A3D3 Institute is in the areas of multi-messenger astrophysics, high energy physics and neuroscience.
The incoming postdoctoral associates will work on the application of machine learning algorithms, heterogeneous computing combining CPUs, GPUs, as well as Field Programmable Gate Arrays (FPGAs) to real-time data acquisition, triggering and physics science analyses. We are seeking excellent candidates who can bring modern machine learning strategies combined with heterogeneous computing to the science frontier at the Compact Muon Solenoid (CMS) detector on the Large Hadron Collider (LHC), the LIGO detectors, as well as the broader high energy experiment and multi-messenger astrophysics work the A3D3 Institute pursues.
Candidates should have a Ph.D. in physics, astronomy, computer science or closely related fields. Experience with machine learning algorithms is highly preferred. Additionally, experience with GPUs and FPGAs are also preferred. Candidates should be familiar with machine learning accelerated approaches and their applications to scientific problems. The candidates will be part of a team to design and deliver a GPU/FPGA based acceleration system to be used for rapid gravitational wave detection, and high-speed processing of CMS data on the LHC.
The position is available effective immediately and applications will be considered until the position is filled. To ensure full consideration, candidates should apply by February 1st, 2022. The appointment is initially for one year and renewable annually. Interested candidates should submit their curriculum vitae and research statement via MIT’s online web portal for employment applications at:
They should also arrange for three letters of recommendation to be sent via email to Philip Harris (pcharris(at)mit.edu) and Erik Katsavounidis (kats(at)mit.edu).