The PSCLab has several research assistantship (RA) openings for highly qualified PhD applicants for Fall 2016 and Spring 2017. Our research focuses on efficient hardware mappings (VLSI/FPGA/SoC/ASIC) of complex algorithms, with current emphasis on compressive sensing and deep learning frameworks and their real-time applications in Internet of things (IoT), wearable health, data analytics, cloud computing, and etc.

Minimum Qualifications:

• Bachelor’s degree in Information/Electrical/Computer Engineering, Computer Science, or related disciplines.
• Proficiency with hardware design languages (Verilog/VHDL), MATLAB/C++.

Preferred Qualifications:

• Master’s degree in Information /Electrical/Computer Engineering, Computer Science, or related disciplines.
• 2+ years of industry experience in semiconductor, IT, or high-tech companies.
• Prior research experience/publications in the area of VLSI systems, digital signal processing, compressive sensing, machine learning, high-performance computing, or other related areas.
• Hand-on experience with FPGA or embedded system design/prototyping.
• Successful tape-out experience in deep sub-micron CMOS technologies.
• Proficiency with OpenCL programming is particularly preferred.  

Qualified candidates will be offered research assistantship that includes monthly stipend, full tuition waiver, and health insurance benefits. For details about the financial support, please visit Research Assistantship.

To Apply

1) Send your CV and brief answers (≤100 words each) to the following questions to Prof. Fengbo Ren (renfengbo@asu.edu). Phone interviews will be arranged for qualified candidates.

• Why do you want to pursue a PhD degree?
• Why do you think you are qualified for the RA position?
• Are you available for Fall 2016 or Spring 2017?

2) Apply for the Ph.D. program in Computer Engineering (Computer Systems Engineering Concentration) following the instructions from Graduate Admissions. 

Q: Do you have any opening or recruiting plan for new PhD students?

• A: I will post the recruiting information on this page when there are particular openings. But in general, I am always looking for good PhD students.