The Physical Computation Laboratory seeking a PhD student to work on a project developing new computer architectures for low-power sensor-driven systems.
The Physical Computation Laboratory (http://physcomp.eng.cam.ac.uk/) is a new and growing research group that investigates how to use an understanding of the physical world and the flexibility of sensing systems to improve the efficiency of computing systems that interact with the physical world. We conduct fundamental research augmented with hardware and software prototypes to get the results of our research out into the world.
The research of the successful applicant will investigate microarchitectures for uncertainty propagation. The research will evaluate the efficacy of proposed designs and implementations using measurements on sensor platforms and analytic models for measurement uncertainty of several common sensor integrated circuits. This will be augmented with analysis of the effect of measurement uncertainty on the computation- / data-flow graphs of important sensor-driven algorithm kernels.
A successful candidate should have very strong background and excellent grades in their completed undergraduate/masters courses on: - Digital logic - Computer architecture - Digital signal processing - Probability and statistics
Candidates should also have a very strong working knowledge of: - C/C++ - Assembly language programming for one or more RISC architectures (e.g., ARM) - LaTeX - Git (and a demonstrable record of working with repositories hosted on GitHub) - Unix - Mathematica or Matlab
Applicants should have (or expect to obtain by the start date) preferably a 1st class honours degree in Electrical Engineering/Information Engineering/Computer Science and preferably a Masters degree in a closely-related subject. A background in applied mathematics or physic will be of added value.
This studentship will pay full University fees and a maintenance allowance of at least £14,582 per year for UK students. EU citizens are eligible for a fees only award.
Overseas students are not eligible for this Studentship and should not apply.
Applications should be submitted via the University of Cambridge Graduate Admissions web pages http://www.admin.cam.ac.uk/students/gradadmissions/prospec/apply/, with Dr. Phillip Stanley-Marbell identified as the potential supervisor
The University values diversity and is committed to equality of opportunity.