Boston University, Department of Electrical and Computer Engineering

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: Electrical Engineering / Autonomous Vehicles
Machine Learning / Machine Learning
Computer Engineering / Systems
Appl Deadline: (posted 2021/10/14, listed until 2022/04/14)
Position Description:    

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: 
  • Work closely with the graduate students at Boston University and Harvard University, and the engineers at Lightmatter to complete the deliverables of the project. 
  • Publish research papers in top-tier conferences, and present the work at conferences, other universities and companies. 
  • Participate in developing new research projects and writing grant proposals. 
Expected Background and Skills 
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: 
  • Computer Architecture: Design, modeling and simulation of heterogeneous system architectures; Silicon-photonic computing architectures; Silicon-photonic network architectures 
  • Machine Learning: Design of heterogeneous system architectures and/or physical design using Machine Learning 
  • Autonomous Systems: Design and evaluation of AI models for autonomous driving system 
Expertise in two or more areas is a plus. Also, hands-on experience with design and prototyping of complete computing systems will be considered a plus. 

Application Process 
Please send the following documents to Ajay Joshi (joshi@bu.edu) and Vijay Janapa Reddi (vj@eecs.harvard.edu): 
  •  CV with a list of your publications. 
  • Cover letter summarizing how your background/experiences makes you a good fit for the project, and your career goals. 
  • List of at least 2 references. 
  • Undergraduate and graduate transcripts.

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.


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Contact: Ajay Joshi
Email: email
Postal Mail:
8 St Mary's St
Boston, MA 02215
Web Page: http://www.bu.edu/ece/

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