Efficient Training Algorithm for Deep Spiking Neural NetworkLightweight and Energy Efficient Deep Learning AlgorithmNeuromorphic Image Classification
About
We have an open position (fully funded) in the area of “Neuromorphic Computing / Machine Learning”. Circuits and Systems Lab (Prof. Yeongkyo Seo) is looking for an excellent Ph.D (min 4 years course) and combined MS-Ph.D (min 5 years course) students in Electrical and Electronic Engineering, Computer Science, Physics, or related discipline. Depending on the student’s experience and interests, the student will start working in one of the following research fields supported by National Research Foundation of Korea.
Requirements
The research topics require the following backgrounds:
1) Understanding of deep learning algorithm and neuromorphic image classification processing
2) In-depth knowledge of neural network
3) Experienced in C, C++, Python, PyTorch, and/or TensorFlow preferred
4) English score: Official TOEIC 820, IELTS 7, or TOEFL IBT 92 score
5) Candidates must finish his/her Bachelor or Master program (Computer Science and
Engineering, or Electronic/ Electrical Engineering) before Aug. 2024 with (equivalent GPA
>= 80/100)
6) Must have a good team attitude and incomparable work ethic
1) Understanding of deep learning algorithm and neuromorphic image classification processing
2) In-depth knowledge of neural network
3) Experienced in C, C++, Python, PyTorch, and/or TensorFlow preferred
4) English score: Official TOEIC 820, IELTS 7, or TOEFL IBT 92 score
5) Candidates must finish his/her Bachelor or Master program (Computer Science and
Engineering, or Electronic/ Electrical Engineering) before Aug. 2024 with (equivalent GPA
>= 80/100)
6) Must have a good team attitude and incomparable work ethic
Application Process
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