What you will do. Artificial Intelligence (AI) starts to be embedded everywhere around us (phones, wearables, cars, etc.). Computing the AI models presents new challenges for processors: a massively parallel computation of millions of artificial neurons in almost real time. Yet, today the main way to make AI do more complex tasks is to train always bigger models, requiring always more computations. This trend starts to raise concerns about the usefulness and sustainability of such approaches. Our team wants to change that by developing embedded AI solutions for more heterogenous, compact, efficient, and explainable AI models. In this fully funded position, you will be involved in state-of-the-art research in Integrated Circuit (IC) design for embedded AI applications. You will contribute to novel design ideas, in a team at the interface between artificial intelligence algorithms and circuit design. You will work in a multidisciplinary network, to grow, design and promote your ideas with full-custom ICs.
What we offer you.
(1) An exciting working topic. You will develop competences at the interface between IC design and embedded AI. You will think about research solutions for emerging models
(sparse Neural networks, compressed transformers, probabilistic models, etc.) and emerging technologies (emerging memories and architectures, such as In-Memory Computing circuits);
(2) The use of cutting edge IC design tools. You will design ICs in the latest nanometer-scale CMOS technologies, participate in multi-project wafer runs annually and use a
state-of-the-art measurement lab.
(3) A supportive working environment. You will integrate an international and supportive research team. You will be in touch with a vast network of academic and industrial partners,
living in Belgium, at the heart of innovation in IC design and AI in Europe.
Who you are.
- You have a master’s degree in electrical engineering. High average grades as well as excellent grades on courses on electronics are a clear asset.
- You just obtained your degree, or you already gained some industry experience.
- You are passionate about IC design and AI, you want to work on a multi-disciplinary topic.
- You have some hands-on experience or courses taken on IC design and tools (in particular Cadence). Specifically, experience and/or interests in analog/mixed-signal ICs are an asset.
- You are open-minded for new research, eager to learn more and fit to teamwork.
- You are fluent in English, and possibly in French.
More information? Do not hesitate to contact me via Email (available in this website)
Ready to apply?
Please submit your application by Email, martin.andraud(at)uclouvain.be. Please include the following documents in English (or French):
- Application letter (1 to 2 A4 pages)
- Course transcripts of Master studies with grades and Certificate of Master degree
- Curriculum Vitae (including list of publications if any, 1 to 2 A4 pages)
- Brief description of your research interests and what you want to do (0.5 to 1 A4 page)
- Possible References (names of referees or recommendation letters)