Phd Position
vor 2 Monaten
**Your Job**:
The project will include the following tasks:
- Simulation studies on networks of complex neuron models with neuroscience-inspired topologies to analyze neuron and network dynamics
- Investigation of learning rules for training networks specifically considering the strong nonlinear dynamics of the neurons
- Integrated circuit design for the hardware realization of such a network
Computational and performance analysis considering accuracy, energy and area efficiency based on the pre-silicon implementation models and hardware measurements.
- The project may also be carried out in two parallel and complementary doctoral theses, one concentrating on the simulation studies with a strong link to complex dynamical system theory and the other concentrating on the electronic implementations in integrated circuits.
**Your Profile**:
Depending on the sub-topics of focus, you should cover many of the skills listed below. Additionally, a passion for teamwork is an important requirement:
- Masters degree in electrical/electronic engineering, computer science, computer engineering, physics, materials science, or related fields
- For IC development, a strong electronics background, with experience in design and simulation of analog, digital, or mixed-signal circuits, including Cadence, SPICS, and related tools is strongly desired
- For modeling and simulation, a strong background in non-linear dynamics, advanced mathematics and coding is strongly desired
- Knowledge in the field of bio-inspired computing approaches and neuroscience basics is advantageous
- 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 work (location) arrangements, e.g. remote work in coordination with the supervisor
- 30 days of annual leave as well as an arrangement for bridging days (e.g. between Christmas and New Year’s Day)
Targeted services for international employees, e.g. through our International Advisory ServicePlace of employment: Aachen
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