JOBS is a workshop to help senior graduate students and postdocs prepare for their upcoming job searches. The workshop will be targeted towards those seeking academic or industry careers and will feature a series of talks, panels, and networking opportunities for participants. The main goals of this workshop are (1) to provide helpful advice and mentorship to graduate students and postdocs who will soon be on the job market and (2) to provide visibility to a few selected participants by connecting them with potential employers in academia or industry.
Any registered MICRO attendee is eligible to attend JOBS. You can register for MICRO here.
Please find the workshop program below.
Applicants must be either Ph.D. students within 1-2 years of graduation at the time of the workshop, or they must have obtained a Ph.D. no earlier than 2017 and must not currently hold a faculty/industry position.
Submission deadline: September 21, 2020
Author notification deadline: September 25, 2020
Workshop date: October 18, 2020 (10 AM - 4 PM EST)
Submissions from students belonging to under-represented groups will be strongly encouraged.
[Required] Research Statement (maximum 2 pages, excluding references, PDF)
[Required] CV (no page limit, PDF)
[Optional] Teaching Statement (maximum 2 pages, excluding references, PDF)
[Optional] Diversity Statement (maximum 2 pages, excluding references, PDF)
Enter your full name in the "Title" field and enter "NA" in the "Abstract" field. Submit all your materials as a single PDF document.Submit
Akshitha Sriraman is a PhD candidate in Computer Science and Engineering at the University of Michigan. Her dissertation research is on the topic of enabling hyperscale web services. Specifically, her work bridges computer architecture and software systems and demonstrates the importance of that bridge in improving the performance, cost, and energy efficiency of modern hyperscale data centers. Sriraman has been recognized with a Facebook Fellowship (Distributed Systems), a Rackham Merit Ph.D. Fellowship, and was selected for the Rising Stars in EECS workshop. Her research has appeared at top-tier systems venues like OSDI, ISCA, and ASPLOS.
She hopes to enter academia after her PhD program, and will be on the academic job market (for tenure-track faculty positions) this upcoming cycle.
Akanksha Jain is a Research Associate at the University of Texas at Austin. She received her PhD in Computer Science from The University of Texas in December 2016. In 2009, she received the B.Tech and M. Tech degrees in Computer Science and Engineering from the Indian Institute of Technology Madras. Her research interests are in computer architecture, with a particular focus on the memory system and on using machine learning techniques to improve the design of memory system optimizations. She is a co-author on a synthesis lecture on cache replacement, and her work has been recognized with an Best Paper nomination at MICRO 2013, a MICRO Top Picks Honorable Mention in 2016, and the winning prize in the Cache Replacement Championship on 2017.
Aporva Amarnath is a Ph.D. candidate at the University of Michigan. She is a part of the Circuits and Architecture Design Research (CADRe) group. Her advisor is Prof. Ronald Dreslinski. Her dissertation research aims to build efficient computer architectures and systems for emerging non-Si technologies by developing solutions across the compute stack. Aporva’s research work has been published in top computer architecture and EDA conferences (ISLPED, HPCA, DAC). Her work was nominated for the best paper award at ISLPED 2017.
Emily Ruppel is a PhD candidate in the Electrical and Computer Engineering department at Carnegie Mellon University. She is a member of the Abstract Research Group, lead by Professor Brandon Lucia. Her research focuses on advancing the state of hardware and software systems for batteryless, energy-harvesting devices. Specifically, she works on hardware-software co-design to enable application developers to easily, and correctly, program batteryless devices that will interact directly with their deployed environment. Her work has appeared in ASPLOS and PLDI.