Research Assistant / Research Associate in Serverless Edge Computing (Fixed Term)

You will work together with a team of postdocs and research collaborators on the EU EDGELESS project, developing a platform supporting serverless workloads across heterogeneous resources ranging from cloud computing down to microcontrollers, and including a variety of capabilities such as GPUs and Trusted Execution Environments (TEEs). Cambridge's responsibilities in the project centre on the design and implementation of underlying platform technologies, building on experience with kernel-level development, hypervisor technology and unikernels.

The successful applicant will possess or be soon to obtain a Ph.D. in computer science in topics relating to systems-level support for serverless computing, including kernel scheduling, resource modelling, and capacity planning. They will have experience of workload analysis, kernel scheduler evaluation, and the ways in which these factors interact with and affect performance of serverless computing environments. Excellent spoken and written English is essential. Those who have submitted but not yet received their Ph.D. will be appointed at Research Assistant level, to be amended to Research Associate once the Ph.D. has been awarded.

The post will be based in the Systems' Research Group (SRG), https://www.cst.cam.ac.uk/research/srg/, part of the Department of Computer Science and Technology, https://www.cst.cam.ac.uk/, in the University of Cambridge. The SRG carries out work in all aspects of systems design, implementation and measurement, with significant developments including the NetFPGA high-speed programmable hardware platform, the Xen hypervisor, the MirageOS unikernel platform, and the Adaptive City Platform used by SmartCambridge. The Department encompasses computer science and related technologies, from engineering to mathematics. We have an internationally leading reputation for academic research, and an open and collaborative culture, supporting revolutionary fundamental computer science research, strong cross-cutting internal and external collaborations, and a long history of developments that transform computing outside the University.