Job description
Various emerging device technologies and computing paradigms are being investigated for energy-efficient artificial intelligence (AI) applications at the edge. Some examples are RRAM, FeFET and STT-MRAM-based Computation-in-Memory (CIM) accelerators. However, these new technologies and computing paradigms introduce new challenges in terms of reliability. For instance, non-idealities such as variability, drift, read/write disturb may cause computational inaccuracy. Ensuring reliable computation in memory using emerging devices for edge AI is of great importance.
The Computer Engineering (CE) section of the Quantum & Computer Engineering (QCE) department is looking for a highly motivated PhD candidate who wants to work on reliable and fault tolerant architectures for future AI accelerators. The candidate will be part of a research team working on design, manufacturing and testing of AI accelerators using emerging devices.
You'll be part of a diverse and passionate team of academic staff, PhD candidates, and postdocs in the Computer Engineering Section. We value open discussions, sharing ideas, and collaborating regularly to advance our understanding of computer engineering. You'll also receive comprehensive training to support your growth as a scientist.
While being an integral part of the team, the candidate will work on the following:
- Identify the reliability failure mechanisms and non-ideality issues in various of AI accelerators, such as emerging memory-based CIM, or spiking NNs;
- Develop reliability solutions to address the impact of non-ideality issues.
- Develop fault-tolerance and self-healing mechanisms to guarantee reliable system operation in the presence of faults and defects.
- Develop design time and runtime configurable solutions for graceful degradation.
- Integrate and validate the developed solutions in edge AI chip prototypes.
This position is a part of new European MSCA Doctoral Network TIRAMISU "Training and Innovation in Reliable and Efficient Chip Design for Edge AI" (2024-2028) https://tiramisu-project.eu/. The action will provide strong interdisciplinary training for future European engineers and researchers driving the innovation for reliable and energy-efficient Edge AI chips.
Requirements
In order to be successful, you will have:
- Completed a relevant MSc degree in Electrical Engineering, Computer Engineering, or any other related field relevant to the PhD research;
- Good understanding of analog or digital 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 for teaching and guiding students;
- The ability to work in a team and take initiative.
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 Electrical Engineering, Mathematics and Computer Science
The 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 to go to the website of the Faculty of Electrical Engineering, Mathematics and Computer Science.
Application procedure
- You can apply online. We will not process applications sent by email and/or post.
- A pre-employment screening can be part of the selection procedure.
- A knowledge security check will be part of the selection procedure.
- Please do not contact us for unsolicited services.
Het salaris bedraagt €2872 - €3670