Getting a job in academia
Panel on getting a job in academia.
We are organizing a panel with professors in the area of Computer Systems to talk about their experience on getting an academic jobs or being on the committee. The panel will specifically focus on students who are planning to get an academic jobs.
The panel will be a one-hour live session with pre-sourced questions and live discussion. All students interested in getting an academic jobs in CS fields are invited to join and ask questions!
- Discussion topics:
- Check out our curated discussion topics
- And post your questions on this website.
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(Ordered by last name)
Prof. Lizy Kurian John is the Truchard Foundation Chair in Engineering at The University of Texas at Austin's ECE Department. With a Ph.D. from The Pennsylvania State University, her research spans computer architecture, multicore processors, and performance evaluation, garnering support from notable entities like NSF, DARPA, and major tech companies. She has contributed significantly to academia with 15 U.S. patents, numerous publications, and several co-authored and edited books. Recognized for her contributions, she has been named a Fellow of IEEE, the National Academy of Inventors, and the Association for Computing Machinery.
He is an Assistant Professor at Imperial College London's Department of Computing and a visiting researcher at Microsoft Research Cambridge. Specializing in operating systems, networking, and distributed systems, he focuses on enhancing datacenter hardware capabilities. Before Imperial, he was with Microsoft Research and earned a distinguished PhD from EPFL in 2020. He began his studies in Electrical and Computer Engineering at NTUA.
Kexin Pei is soon to become the Neubauer Family Assistant Professor at the University of Chicago's Department of Computer Science. After earning his PhD from Columbia University, he delved deep into Security, Software Engineering, and Machine Learning. His work focuses on using data to improve the safety and reliability of both regular and AI-based software. He's especially keen on creating machine learning tools that can spot and fix software issues and weaknesses.
Dmitrii Ustiugov is an Assistant Professor at Nanyang Technological University (NTU), Singapore, specializing in computer systems and architecture. His expertise lies in creating fast, scalable, and efficient cloud systems, with current projects focusing on cloud and serverless architectures and system support for Machine Learning. He spearheads the vHive open-source initiative, a platform for serverless experimentation, adopted by 30+ academic and 8+ industry entities. He earned his PhD in Computer Science from the University of Edinburgh, later serving as a Postdoctoral Researcher at ETH Zurich under Prof. Ana Klimovic.
Zixuan Wang is a PhD candidate at UC San Diego, working with Jishen Zhao and Steven Swanson. His research focuses on building scalable, secure, and easy-to-use systems. Currently, his projects center on enhancing system security and scalability using emerging memory technologies. His industrial expertise lies in trusted computation, specifically in confidential virtual machine technologies. Zixuan will host the panel discussion for this event. Please contact him with any concerns.