PhD Position – Algorithm-Circuit Codesign for Neuromorphic Computing with Memristors
Your Job :
We are looking for a doctoral researcher who will explore and implement hybrid CMOS-memristor spiking neural networks, exploiting optimal neural architectures ( analyzing the complexity-and-performance tradeoff in different neuron models, dendritic compartments, etc.
in task-specific hardware designs, for both training and inference for identifying complex sequential patterns. The researcher will :
- develop circuit-plausible training / inference algorithms and analyze with hardware-aware simulations ( LTspice and Cadence Spetre)
- iterate algorithm-circuit co-designs and quantify improved schemes, compare and benchmark to competing approaches
- support printed circuit board design and tape-out of integrated circuits ( Altium Designer / Cadence Virtuoso)
- set up experimental systems for memristive circuit measurements and experimental data analysis
- interact with cross-disciplinary experts ( neuroscientists and device physicists)
Your Profile :
- Master’s degree in electrical / electronic engineering, computer engineering, computer science, or related fields
- Background in device physics and analog or mixed-signal circuit designs
- Strong skill in mixed-signal circuit designs (active filter circuits, ADC, ) and simulation (SPICE, Cadence Spectre) is a must.
- Skills in circuit layout tools, such as Altium Designer (printed circuit board) and Cadence Virtuoso (integrated circuits)
- Skills in setting electrical measurements and analysis
- Interest and background in neuromorphic computation or machine learning is a plus
- Coursework and experience in machine learning and spiking neural networks is desired
- Excellent communication skills and ability to work in a team are essential.
- Strong English skills will be required for the international working environment
Our Offer :
We work on cutting-edge research topics with a high potential to positively impact society. We offer ideal conditions for you to complete your doctoral degree :
- A world-leading, international research environment with state-of-the-art equipment
- Opportunity to work in the highly interdisciplinary and exciting field of neuromorphic and brain-inspired computing, collaborating with physicists, neuroscientists, materials scientists, and engineers
- Flexible working arrangements working from home
- 30 days of annual leave as well as an arrangement for bridging days ( between Christmas and New Year’s Day)
- Further development of your personal strengths, through an extensive range of training courses; a structured program of continuing education and networking opportunities specifically for doctoral researchers via JuDocS, the Jülich Center for Doctoral Researchers and Supervisors :
- Targeted services for international employees, through our International Advisory Service
In addition to exciting tasks and the collaborative working atmosphere at Jülich, we have a lot more to offer :
Place of employment : Aachen
The position is initially for a fixed term of 3 years but with the prospect of longer-term employment. The salary is in line with pay group 13 (75%) of the Collective Agreement for the Public Service (TVöD-Bund).
In addition, an annual special payment is granted ( Christmas payment ), which amounts to 60 % of the monthly salary.