Forging closer links with academia
Being a spin-out from a University ourselves, at UltraSoC we believe that strong links with the academic world provide multi-faceted benefits to everyone involved – an opportunity for students to learn about and use state of the art commercial products, an opportunity for UltraSoC to stay abreast of the latest academic developments in many related relevant fields and the ability for us all to advance our industry together.
Our interests are broad and include both technical and business management topics such as semiconductor technology, design methodologies, data analytics, machine learning and AI, market analysis and business model design.
UltraSoC’s products are at the leading edge of technology, offering unique analytics capabilities, both in-lab and in-life, for complex, heterogeneous SoCs.
UltraSoC experts regularly support academic teams by providing guest lecturers to relevant courses. We also work closely with our university partners to offer exciting internship opportunities, and to identify Masters and PhD level projects of mutual interest, providing assistance to students throughout the lifetime of each project – maximizing the linkage of their study and project work with real industry applications.
UltraSoC also offers participating Universities a license to its commercially available products for research or pre-commercial investigation, as a significant “value in kind” contribution.
Who’s currently participating in the UltraSoC University Program?
Example Project 1 – Group design project for MEng
Demonstrate a hybrid analog-digital monitoring solution using state of the art commercially available IP blocks from UltraSoC and partners. This involves using hardware description language (HDL) development, simulation and verification to produce a demonstration that can be controlled via an environment that allows configuration and visualization of outputs.
Example Project 2 – PhD project
Use machine learning techniques to find correlations between events on a complex, heterogeneous SoC, and analyse the behavior of SoC elements in order to make predictions about future behavior. In particular, image classification applications involving the use of binarized neural networks are of interest because of the potential computational efficiencies possible.
Interested in finding out more?
Whether you’re a graduate or undergraduate looking for an intern post, a post-grad seeking backing for a research project, or a department head looking to forge closer ties with a forward-thinking industrial partner, we’d like to hear from you.
Contact us via email – email@example.com – and let’s get you started today.