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The Faculty of Engineering at McMaster University in Hamilton, Ont., Canada is aiming to build on its ranking as one of the world’s top engineering schools by expanding its recruitment of both tenure-track and teaching track positions across multiple departments. This broad initiative is expected to continue the growth of McMaster as a leading destination for innovative teaching and research.

To support this growth and further develop McMaster Engineering’s longstanding strengths in research, innovation and graduate training, the positions being offered will include two Tier II Canada Research Chair (CRC) and tenure-track positions, with specialization in the fields of micro-nano technology, smart systems, and bio-innovation.

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Image: MIT Lincoln Laboratory

To enable safe and affordable autonomous vehicles, the automotive industry needs lidar systems that are around the size of a wallet, cost one hundred dollars, and can see targets at long distances with high resolution. With the support of DARPA, our team at Kyber Photonics, in Lexington, Mass., is advancing the next generation of lidar sensors by developing a new solid-state, lidar-on-a-chip architecture that was recently demonstrated at MIT. The technology has an extremely wide field of view, a simplified control approach compared to the state-of-the-art designs, and has the promise to scale to millions of units via the wafer-scale fabrication methods of the integrated photonics industry.

 

Light detection and ranging (lidar) sensors hold great promise for allowing autonomous machines to see and navigate the world with very high precision. But current technology suffers from several drawbacks that need to be addressed before widespread adoption can occur. Lidar sensors provide spatial information by scanning an optical beam, typically in the wavelength range between 850 and 1550 nm, and using the reflected optical signals to build a three-dimensional map of an area of interest. They complement cameras and radar by providing high resolution and unambiguous ranging and velocity information under both daytime and nighttime conditions.

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