About this role
Everyone is talking about artificial intelligence. But who is developing the necessary chips? We are, for example!
Would you like to help drive the development of a new highly efficient AI hardware platform as a doctoral student? At Fraunhofer IPMS , in collaboration with renowned German and European partners from science and industry, we are developing analog accelerators using novel non-volatile memory chips! By merging logic and memory elements, costs and the required wafer area can be minimized, and above all, energy efficiency and speed can be maximized. Specifically, in this project we are using ferroelectric memories, which can calculate AI algorithms from the field of deep learning in resistive crossbar structures with extremely low power consumption and high speed.
We are working on futuristic technologies in the field of machine learning and computer vision. Hence, we investigate and develop an innovative computation-in-memory (CIM) solution for artificial intelligence accelerator design in advanced CMOS technologies such as FDSOI and FinFET. Data converters (ADC and DAC) play a crucial role in such advanced CIM technology; hence, we are looking for a highly motivated analog and mixed signal design PhD student.
Want to get more information? Click here.
What you will do
- Design analog and mixed signal circuits such as ADC, DAC, PLL, VCO and CIM array
- Implement and verify circuit layouts through simulation
- Utilize advanced CMOS technology nodes (28nm, 22nm, and below)
- Automate the design and layouts using Skill programming
- Develop behavioural models for circuit verification
- Contribute to mixed-signal integration and verification in system-on-chip
- Summarize results and engage in team discussions
- Communicate with project partners and customers
- Present findings at conferences and publish in journals