Research Area:
- Deep Learning and Image Recognition Algorithms
- Object detection, tracking, segmentation algorithm with image processing
- CNN, SNN, RNN model optimization and fast training for low cost hardware accelerator
- Vehicle and pedestrian detection with deep learning algorithms
- Requirement: Familiar with Phyton, C program (Tensorflow/PyTorch, Deep learning knowledge is a big plus)
- Neural Network Processor and SoC Chip Design
- Deep learning AI Processor Architectures for Edge CNN and RNN models with On-line Training
- Low Power Neural Network Processor Accelerator and RISC-V based SoC Chip Design
- Analog-Digital mixed signal circuit design for Synapse, Neuron, and Convolution Filter Circuits
- Requirement: Familiar with analog or digital design CAD tools, MATLAB (Verilog, FPGA design experience is a big plus)
Host Institution:
MSIS Lab, Chungbuk National University, Korea
Supervisor:
Prof. Hyung Won Kim
hwkim@cbnu.ac.kr
Degree Offered:
- Combined Master-PhD
- PhD
Application Deadline:
- October 26, 2020 (Email application to professor)
- November 6, 2020 (Final application submission to uiversity)
Benefits:
Full financial support until graduation: Research scholarship covering:
- Tuition fees
- Living expenses
Qualifications:
- Graduated or will graduate with Bachelor or Master Degree before March 1, 2021
- Major is related to
- Electrical engineering
- Computer science
- Information and communication
- Have excellent research skill and strong motivation towards PhD
- Have excellent English skill (spoken and written)
- Have superior GPA (Top 10% or higher in class)
- For combined Master-PhD: must have outstanding GPA or project experience with professor during undergraduate program.
Required Documents:
- CV including photo, academic records, research experience and publication list.
- Copy of transcript
- Copy of graduate certificate
- All publications, including M.S thesis and B.S undergraduate thesis project reports in PDF
- (After professor’s evaluation) 2 reference letters and application forms for university
Application Procedure:
Send the required documents to Prof. Hyung Won Kim through email before the deadline.
More Information:
If you have any inquiries regarding this scholarship, you may contact Prof. Hyung Won Kim via email to hwkim@cbnu.ac.kr.
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