2021 SSCS Webinar Series - Professional Development, Networking, and Career Growth
Academic Job Hunting – Pathways to Secure a Faculty Position
- 9:00 AM ET
- Webinar - Online
- Abira Altvater – firstname.lastname@example.org
- Web site
Register - https://bit.ly/39RnIc7
Summary: It’s faculty recruiting season again! How do you know if you are well prepared for a faculty position? Do you know how to work on a compelling application package? What is the secret behind the hiring process? What should you expect as you start your own research group and become a PI? Do you really want this job?
In this webinar, we invite three eminent faculty members at different stages of their careers to share their stories and perspectives about faculty hiring. They will share what the searching committee is looking for, what the tenured system is, how to prepare a chalk talk, and more. This session will also include a live Q&A at the end.
Milin Zhang, Associate Professor, Electronic Engineering, Tsinghua University
Milin Zhang is an associate professor in the department of Electronic Engineering, Tsinghua University. She received the B.S. and M.S. degrees in electronic engineering from Tsinghua University, Beijing, China, in 2004 and 2006, respectively, and the Ph.D. degree in the Electronic and Computer Engineering Department, Hong Kong University of Science and Technology (HKUST), Hong Kong. After finishing her doctoral studies, she worked as a postdoctoral researcher at the University of Pennsylvania (UPenn). She joined Tsinghua University as an Assistant Professor in the Department of Electronic Engineering in 2016. Her research interests include designing of traditional and various non-traditional imaging sensors, such as polarization imaging sensors and focal-plane compressive acquisition image sensors. She is also interested in circuit and system design for biomedical sensing applications.
She serves and has served as the TPC member of ISSCC, CICC, A-SSCC and BioCAS. She is the Chapter chair of the SSCS Beijing chapter. She has received the Best Paper Award of the BioCAS Track of the 2014 International Symposium on Circuits and Systems (ISCAS), the Best Paper Award (1st place) of the 2015 Biomedical Circuits and Systems Conference (BioCAS), the best student paper award (2nd place) of ISCAS 2017.
Dante Gabriel Muratore, Assistant Professor, Microelectronics.Delft University of Technology
Dante Gabriel Muratore is an assistant professor of Microelectronics at the Delft University of Technology. He received the B.S. degree and the M.S. degree in Electrical Engineering from Politecnico of Turin in 2012 and 2013, respectively. He received the Ph.D. degree in Microelectronics from University of Pavia in 2017. From 2015 to 2016 he was a Visiting Scholar at MTL labs at the Massachusetts Institute of Technology. From 2016 to 2020 he was a Postdoctoral Fellow at Stanford University. He is the recipient of the Wu Tsai Neurosciences Institute Interdisciplinary Scholar Award. His research focuses on hardware design for implantable and wearable brain-machine interfaces, bioelectronics, sensor interfaces and low power algorithms at the edge.
Prof. Diana Marculescu, Department Chair and Motorola Regents Chair, Electrical and Computer Engineering, University of Texas at Austin
Prof. Diana Marculescu is the Department Chair and Motorola Regents Chair in Electrical and Computer Engineering at the University of Texas at Austin. Prior to joining UT Austin in December 2019, she was the David Edward Schramm Professor of Electrical and Computer Engineering, the Founding Director of the College of Engineering Center for Faculty Success (2015-2019) and has served as Associate Department Head for Academic Affairs in Electrical and Computer Engineering (2014-2018), all at Carnegie Mellon University. She received the Dipl.Ing. degree in computer science from the Polytechnic University of Bucharest, Bucharest, Romania (1991), and the Ph.D. degree in computer engineering from the University of Southern California, Los Angeles, CA (1998). Her research interests include energy- and reliability-aware computing, hardware aware machine learning, and computing for sustainability and natural science applications.
Register - https://bit.ly/39RnIc7