- Engage in groundbreaking research to develop advanced neuromorphic sensing, and computing systems by taking inspiration from the sensing and computing capabilities of natural neural systems.
- Innovate in the areas of signal encoding, processing pipelines, and embedded computer architectures to emulate bio-inspired computational models effectively.
- Explore and implement beyond traditional deep learning techniques, moving towards the next generation of neuromorphic technologies. This includes leveraging spiking neural networks' efficiency, parallelism, and adaptability for enhanced sensing and computing.
- Delve into new bio-inspired theories and connect them to hardware architectures.
- A master's degree (or an equivalent university degree) in Electrical Engineering, Computer Science, Physics, or related fields, with an interest in neuromorphic computing and engineering.
- Has a strong background in one or more of the following: Analog mixed-signal designs, devices, and general knowledge of semiconductor physics, modeling, and electronic system design. Knows circuit simulation and VLSI design (spice, cadence, Synopsys tools). Experience with hardware architecture, FPGA, and system-level simulation is desirable. A good theoretical understanding of statistics and machine learning theory.
- Strong analytical skills and proficiency in programming and simulation tools.
- Ability to work independently and collaboratively in a multidisciplinary team.
- Motivated to develop your teaching skills and coach students.
- Fluent in spoken and written English (C1 level).
- Full-time employment for four years, with an intermediate evaluation (go/no-go) after nine months. You will spend 10% of your employment on teaching tasks.
- Salary and benefits (such as a pension scheme, paid pregnancy and maternity leave, partially paid parental leave) in accordance with the Collective Labour Agreement for Dutch Universities, scale P (min. €2,770 max. €3,539).
- A year-end bonus of 8.3% and annual vacation pay of 8%.
- High-quality training programs and other support to grow into a self-aware, autonomous scientific researcher. At TU/e we challenge you to take charge of your own learning process.
- An excellent technical infrastructure, on-campus children's day care and sports facilities.
- An allowance for commuting, working from home and internet costs.
- A Staff Immigration Team and a tax compensation scheme (the 30% facility) for international candidates.
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PhD's on neuromorphic computing - Eindhoven, Nederland - Eindhoven University of Technology
Beschrijving
Job Description
We offer an exciting Ph.D. opportunity for a pioneering approach to neuromorphic engineering and computing, drawing inspiration from neural mechanisms observed in the animal kingdom. These cross-disciplinary projects seek to revolutionize sensing, computing, and learning by adopting the computational primitives found in natural neural systems: the massively parallel networks of spiking neurons and adaptive synapses.
Key responsibilities:
Job requirements
Conditions of employment
A meaningful job in a dynamic and ambitious university, in an interdisciplinary setting and within an international network. You will work on a beautiful, green campus within walking distance of the central train station. In addition, we offer you:
