2 PhD positions available in Neuromorphic Device Design
Priyamvada Jadaun
Job Advert - 2 PhD positions in Neuromorphic Sensing & Computing
The newly constituted Semiconductors and Microelectronic systems (SAM) group at TU Berlin has two exciting PhD opportunities at the interface between nanoelectronic devices, computational materials science and hardware-based AI.
Taking inspiration from the biological brain, the newly formed SAM group will design novel nanoelectronic devices and materials that can host an innovative form of AI which operates in hardware. This technology, called neuromorphic computing, aims to surpass the limitations of current software-based AI models, especially in terms of energy-efficiency, miniaturization and user privacy.
Details about the group
The SAM group is led by Prof. Priyamvada Jadaun who is a Chair Professor in Electrical Engineering and Computer Sciences at TU Berlin. Prof. Jadaun also holds a Visiting Scholarship position at University of California at Berkeley, USA and an Affiliate position at Lawrence Berkeley National Laboratory, USA.
Our group aims at leveraging cutting-edge materials and devices to enable next-generation information technologies. Our research has two main thrusts:
- Developing bio-inspired computing or hardware-based artificial intelligence (AI)
- Developing quantum sensing for biomedicine and neurotechnology
Working Field
PhD 1 - Neuromorphic sensing at the edge:
- Here, you will engage in groundbreaking research to develop advanced sensors that are event-based, resource-constrained, energy-efficient and show low-latency.
- These sensors should mimic natural neural systems by exploiting stochastic physical processes and by learning continuously.
- This project will impact applications in healthcare, neurotechnology, intelligent sensing, smart energy and robotics.
PhD 2 - Bio-inspired neuromorphic learning:
- Here, you will explore newly discovered, bio-inspired learning algorithms that go beyond deep learning, and implement them in hardware. These algorithms include forward learning models and adaptive intelligence techniques.
- You will design novel nanoelectronic devices (e.g. ReRAMs, magnetic Domain Wall systems, Ferroelectric FETs and 2D devices) and leverage their complex physics to realize new types of learning algorithms found in the animal brain.
- This project will impact applications in healthcare, neurotechnology, intelligent sensing, smart energy and robotics.
What you can expect from us:
- Participation in a young, energetic, growing, highly motivated and international team with a cordial and supportive culture.
- The opportunity to conduct parts of your project at the University of California, Berkeley and Lawrence Berkeley National Laboratory, USA.
- Benefit from close collaborations with world-renowned research groups at Fraunhofer Society, Germany, TU Delft, Netherlands, Institute of Neuroinformatics, Zurich, EPFL, Lausanne, and UC Berkeley, USA.
- Exposure to a multidisciplinary research program that spans nanoelectronic devices design, materials design, circuit development, AI algorithms and neuroscience.
- The opportunity to do a doctorate (PhD) under the supervision of experienced academics.
Thank you,
Priyamvada Jadaun