PhD Scholarship on Ultra-low Power Deep Learning Accelerators in Mobile Platforms

Applicants are invited to apply for a PhD scholarship in semiconductors at Eindhoven University of Technology. This position is open until filled.

The Electronic Systems (ES) group within the Department of Electrical Engineering of Eindhoven University of Technology (TU/e) seeks to hire an outstanding PhD candidate within the field of Embedded Computer Architecture.

There is still an enormous difference in energy-efficiency between modern deep learning (DL) ASICs and the human brain. Modern DL HW platforms cannot get close even when flexibility is sacrificed in their hardware architecture in favor of energy-efficiency. Furthermore, the high compute, storage, and memory bandwidth requirements of modern DL applications put a lot of stress on the energy budget and result in a significant hardware cost. Within the efficient Deep Learning Platforms (eDLP) project we aim to adopt principles that make the human brain so energy-efficient (i.e., low frequency, massively parallel, analog,

asynchronous, approximate/low precision computing, redundancy/fault tolerance) in the design of HW/SW platforms for DL applications. Our goal is to achieve a huge improvement in power-efficiency of DL solutions, such that they become a viable option for power and cost restricted embedded systems.

Within the larger eDLP project, this PhD position will contribute to the implementation of ultra-low-power microcontroller platforms with embedded hardware accelerators for deep learning. The relative slow innovation progress on battery technologies demands radical innovations for energy-efficient and autonomous operation. On the semiconductor side of the solution, these include a charge recycling strategy that can be used for example in combination with a trickle charger of a solid-state battery. Additional large gains will be obtained by applying approximate computing. Topics of research will include: context aware approximate computing solutions for neural network algorithms that enable a trade-off between energy consumption and quality-of-experience, and event-driven HW accelerators that minimize the overall energy consumption.

The Electronic Systems group consists of seven full professors, ten assistant professors, several postdocs, about 40 PDEng and PhD candidates and support staff. The ES group is world-renowned for its design automation and embedded systems research. It is our ambition to provide a scientific basis for design trajectories of electronic systems, ranging from digital circuits to cyber-physical systems. The trajectories are constructive and lead to high quality, cost-effective systems with predictable properties (functionality, timing, reliability, power dissipation, and cost). Design trajectories for applications that have strict real-time requirements and stringent power constraints are an explicit focus point of the group. Within this area, prof.dr. H. Corporaal and S. Stuijk have developed various novel power efficient computer architectures and their associated compilation trajectories.

The eDLP project team is designed to combine extensive knowledge in the key fields. The project team includes industrial partners from Holst, NXP, Intel, and NVIDIA. As part of this project, the PhD candidate will work closely with these industrial partners to ensure that the developed architecture is suitable for the systems developed by these partners.

We offer a fixed-term, 4 year position in a research group with an excellent reputation.

If interested, please use ‘apply now’-button at the top of this page.

Candidates will be selected based on graduation mark and proficiency at university including consideration of the reputation of the university, relevant experience and skills, writing skills and publications, work experience as well as performance in relevant modeling exercises and interviews.

Deadline: As soon as possible
Apply Link:

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