Various emerging device technologies and computing paradigms are being investigated for energy-efficient artificial intelligence (AI) applications. Some examples are RRAM or STT-MRAM collectively known as memristor-based Computation-in-Memory (CIM) accelerators. However, these new technologies and computing paradigms face various design challenges in terms of design and technology challenges, application mapping and reliability and non-ideality issues. Thus, there is a growing demand for efficient and reliable memristor CIM-based neuromorphic system design which includes techniques such as reliability-aware mapping and optimization techniques as well as high-quality, and cost-effective mitigation schemes that can guarantee efficient and reliable memristor-based CIM operation for AI workloads.
The Computer Engineering (CE) section of the Quantum & Computer Engineering (QCE) department is looking for a highly motivated PostDoc candidate who wants to work on efficient and reliable analog CIM-based AI accelerator design for future neuromorphic accelerators. The candidate will work on the following:
- Designing efficient analog CIM architecture using emerging memristive devices
- Develop system architecture for analog CIM accelerator
- Develop efficient mapping schemes of AI workloads
- Identifying the non-ideality issues of analog CIM architectures.
- Developing solutions to address the non-ideality issues.
The PostDoc position is part of the SNS (self-healing Neuromorphic Systems), a multi-partner national project involving several key academic and industrial partners such as, Technology University of Eindhoven (TUE), CWI, IMEC and Delft University of Technology.
- About the SNS project: Self-healing Neuromorphic Systems.
- About our department: QCE department.
- About our group: Computer Engineering Labs.
For this position, an ideal candidate should have:
- Completed a relevant PhD degree in Electrical Engineering, Computer Engineering, or any other related field relevant to the research;
- Good understanding of analog circuit design;
- Basic understanding of defects, faults, and test solutions for electronic systems is a plus;
- Basic understanding of AI and its hardware implementations is a plus;
- An affinity with teaching and guiding students;
- The ability to work in a team and take initiatives.
Delft University of Technology is built on strong foundations. As creators of the world-famous Dutch waterworks and pioneers in biotech, TU Delft is a top international university combining science, engineering and design. It delivers world class results in education, research and innovation to address challenges in the areas of energy, climate, mobility, health and digital society. For generations, our engineers have proven to be entrepreneurial problem-solvers, both in business and in a social context.
At TU Delft we embrace diversity as one of our core values and we actively engage to be a university where you feel at home and can flourish. We value different perspectives and qualities. We believe this makes our work more innovative, the TU Delft community more vibrant and the world more just. Together, we imagine, invent and create solutions using technology to have a positive impact on a global scale. That is why we invite you to apply. Your application will receive fair consideration.
Challenge. Change. Impact!
Faculty of Electrical Engineering, Mathematics and Computer ScienceThe Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) brings together three scientific disciplines. Combined, they reinforce each other and are the driving force behind the technology we all use in our daily lives. Technology such as the electricity grid, which our faculty is helping to make completely sustainable and future-proof. At the same time, we are developing the chips and sensors of the future, whilst also setting the foundations for the software technologies to run on this new generation of equipment - which of course includes AI. Meanwhile we are pushing the limits of applied mathematics, for example mapping out disease processes using single cell data, and using mathematics to simulate gigantic ash plumes after a volcanic eruption. In other words: there is plenty of room at the faculty for ground-breaking research. We educate innovative engineers and have excellent labs and facilities that underline our strong international position. In total, more than 1000 employees and 4,000 students work and study in this innovative environment.
Click here
Application procedure- 1-page Motivation letter tailored to the position you are applying
- Your CV
- (part of your) papers that you have written, in which you demonstrate your writing (and scientific) skills.
Please note:
- A pre-employment screening can be part of the selection procedure.
- National Knowledge Security Guidelines. We carry out this check on the basis of legitimate interest.
- Please do not contact us for unsolicited services.