Research Scientist - Machine Learning for Autonomous Driving Behavior: https://smrtr.io/3rgnH Research Engineer - Machine Learning for Autonomous Driving Behavior: https://smrtr.io/3sqZZ
Hi, everyone. Apologies for any multiples of this posting that reach your inbox. I’m writing to share the above research position openings, which will be of interest to students, postdocs, etc. doing research on RL, LfD, or other machine learning for robotic decision making. I've just begun building an RL/LfD-for-autonomous-vehicles research team for Bosch, the world's largest automotive supplier (with $51B in revenue in 2018), who also happens to make nice home appliances and power tools. Our team has an unusual setup: we office within the UT Austin Computer Science building and are collaborating with Peter Stone, Scott Niekum, and others here. We plan to publish research on RL and LfD topics---where autonomous driving may only be one of many applications of the research results---but we’ll also do R&D that adds algorithms to the Bosch autonomous vehicle program. In the mix are some human-in-the-loop RL research projects as well. We’re hiring a research engineer and a research scientist to join us here. (We plan to hire summer interns as well. Email me at the address below if interested.) Here’s why I’m grateful to be in this group and why it’s a special opportunity for researchers focusing on RL or LfD for robotics. Features of Bosch in Austin: - an ability to move between fundamental and applied research - a focus on autonomous vehicles, a high-impact topic with problems spread across the spectrum of application and research - competitive industry pay in an academic setting - Austin (creative culture, natural beauty, and a low cost of living for a US tech hub) Please send any questions to my Bosch email, brad.k...@us.bosch.com. Applications to the research scientist and research engineer roles should be made through the links at top. Best Regards, Brad ____________________ W. Bradley Knox, PhD http://bradknox.net <https://urldefense.proofpoint.com/v2/url?u=http-3A__bradknox.net_&d=DwMFaQ&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=S0-vl3uEXnktym3Z0Vx6kOLaMigTMO4FGYNHyUAdU_E&s=oBYL40_k0lAqCBCu4uqx8YG_JpUOYRiH7-e0tlAhFo0&e=> (+1) 512-542-3333
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