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 fieldsBackground in device physics and analog or mixed-signal circuit designsStrong 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 analysisInterest and background in neuromorphic computation or machine learning is a plusCoursework and experience in machine learning and spiking neural networks is desiredExcellent communication skills and ability to work in a team are essential.Strong English skills will be required for the international working environmentOur 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 equipmentOpportunity to work in the highly interdisciplinary and exciting field of neuromorphic and brain-inspired computing, collaborating with physicists, neuroscientists, materials scientists, and engineersFlexible working arrangements working from home30 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 ServiceIn 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.