Computer Engineering / Systems
Electrical Engineering / Autonomous Vehicles
| Position ID: | BU-ECE-POSTDOC1 [#20067, POSTDOC-JOSHI] |
| Position Title: | Postdoctoral Fellow in On-Premise Computing (Computer Architecture, Machine Learning and Runtime Systems) |
| Position Type: | Postdoctoral |
| Position Location: | Boston, Massachusetts 02215, United States [map] |
| Subject Areas: | Machine Learning / Machine Learning Computer Engineering / Systems Electrical Engineering / Autonomous Vehicles |
| Appl Deadline: | finished (2021/10/14, finished 2022/10/15, listed until 2022/04/14) |
| Position Description: |
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Title Postdoctoral Fellow in On-Premise Computing (Computer Architecture, Machine Learning and Runtime Systems) Project Deep learning plays an essential role in the operation of an autonomous vehicle (AV), allowing for automated detection, prediction, mapping, and planning. During the vehicle’s operation, data is obtained through a myriad of sensors in an AV—including RADAR, LIDAR, cameras, and other advanced driver assistance systems (ADAS) sensors. These sensors generate a vast amount of data concurrently, which need real-time processing (latency-bound throughput) for vehicle safety. A crucial challenge meeting this requirement is the simultaneous need for low-power consumption. The main objective of the project is to develop a complete end-to-end high performance DNN system for on-premise computing applications—mainly for a SWaP-constrained AV—using hybrid electro-photonic accelerators. We propose to design and prototype a complete electro-photonic computing (EPiC) system (CPUs + accelerators), integrate it with the sensors in AV and demonstrate its capability to perform perception, mapping, and planning while overcoming the power and performance limitations of CMOS-only computers. As our end goal, we plan to demonstrate a fully autonomous buggy that uses our EPiC system. This project is a collaboration among Lightmatter, Boston University and Harvard University. The Lightmatter team is led by Dr. Darius Bunandar, the Boston University team is led by Prof. Ajay Joshi, and the Harvard University team is led by Prof. Vijay Janapa Reddi. Role Our team has two postdoctoral fellow openings. The postdoctoral fellows will be jointly supervised by Prof Joshi at Boston University and Prof. Reddi at Harvard University. The appointment is for one year with an optional second year, subject to performance and availability of funds. The expected start date is January 1, 2022. Responsibilities The responsibilities of the postdoctoral fellow include:
Applicants are expected to have a PhD in EE, CE or CS (by the start date) with expertise in at least one of the following areas:
Application Process Please send the following documents to Ajay Joshi (joshi@bu.edu) and Vijay Janapa Reddi (vj@eecs.harvard.edu):
Boston University is an AAU institution with a rich
tradition dedicated to inclusion and social justice and a commitment to
broadening participation of underrepresented groups in engineering. We are an
equal opportunity employer and all qualified applicants will receive
consideration for employment without regard to race, color, religion, sex,
sexual orientation, gender identity, national origin, disability status,
protected veteran status, or any other characteristic protected by law. We are
a VEVRAA Federal Contractor. |