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.