Post-doc position on neuromorphic computing
Imec is the world-leading research and innovation hub in nanoelectronics and digital technologies. The combination of our widely acclaimed leadership in microchip technology and profound software and ICT expertise is what makes us unique. By leveraging our world-class infrastructure and local and global ecosystem of partners across a multitude of industries, we create groundbreaking innovation in application domains such as healthcare, smart cities and mobility, logistics and manufacturing, and energy.
As a trusted partner for companies, start-ups and universities we bring together close to 3,500 brilliant minds from over 70 nationalities. Imec is headquartered in Leuven, Belgium and also has distributed R&D groups at a number of Flemish universities, in the Netherlands, Taiwan, USA, China, and offices in India and Japan. All of these particular traits make imec to be a top-class employer. To strengthen this position as a leading player in our field, we are looking for those passionate talents that make the difference!
The Internet and Data Lab (IDLAB, http://idlab.ugent.be) research group is part of Ghent University, Belgium and a core research group of imec (http://imec.be) , the world-leading research and innovation hub in nano-electronics and digital technologies. IDLab performs fundamental and applied research in research areas such as machine learning and distributed intelligence for IoT.
Recently, imec has unveiled the world's first self-learning neuromorphic chip based on OxRAM technology. Imec researchers are combining state-of-the-art hardware and software to design chips that features huge computing power while only consuming a few tens of Watts.
In this context, imec is building a team combining the analog and digital hardware design expertise in Leuven with machine learning (deep learning and neuromorphic paradigms) in Ghent. Current research efforts in Ghent are focused on resource-optimized neural network architectures obtained by compression or bit quantization. Currently, we have a position available for a post-doctoral researcher that will be responsible for further expanding this research track on neuromorphic computing, in close collaboration with faculty staff.
The work involves coming up with novel deep learning architectures that enable an efficient neuromorphic hardware implementation in terms of performance, power and area. You will explore, analyze and evaluate the benefits of neuromorphic hardware, including the in-house design of imec. The main goal is to maximize application potential of neuromorphic hardware in various domains, including convolutional neural networks, LSTM and reinforcement learning. You will work in close collaboration with the hardware design team in Leuven, translating application requirements into requirements for chip design, and conversely tailoring deep learning algorithms to hardware limitations and opportunities.
We are looking for candidates with a strong background in analog and digital electronics and microarchitectures. Candidates who are close to their PhD degree are also welcome to apply.
Knowledge of non-volatile-memory (NVM) technology fundamentals, deep learning or mapping algorithms (signal processing or machine learning) on processor architectures (GPU, DSP, FPGA) will be considered a strong plus. Further, the candidate is expected to have excellent communication skills, a proven scientific track record and to be a good team worker able to interact with both hardware and software experts.
Interested candidates are requested to apply with their CV, scientific bibliography and a motivation letter.
This job comes from a partnership with Science Magazine and