Publisher
source

Sungjun Kim

3 months ago

PhD Position in AI Hardware, Neuromorphic Computing, and In-Memory Computing at Dongguk University Dongguk University in South Korea

Degree Level

PhD

Field of study

Computer Science

Funding

Available

Deadline

Expired

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Country

South Korea

University

Dongguk University

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Keywords

Computer Science
Electrical Engineering
Information Technology
Deep Learning
Artificial Neural Network

About this position

Dongguk University in Seoul, South Korea is advertising a PhD position for Fall 2026 in a research group led by Professor Sungjun Kim.

The project focuses on AI hardware, neuromorphic computing, and in-memory computing systems, with related interests in neural networks, deep learning, hardware-aware AI algorithms, AI accelerators, and edge AI.

Preferred applicants have backgrounds in computer engineering, electrical engineering, hardware algorithms, neural networks, or AI systems. The post specifically notes that candidates from device fabrication, materials synthesis, or materials characterization are generally not the target for this recruitment.

This is a PhD opening rather than a postdoctoral or research professor position, and the poster prefers applicants for the regular PhD program instead of an integrated MS–PhD track.

According to the admission notice, the online application period is June 25, 2026 to July 3, 2026, and supporting documents must be submitted by July 6, 2026. The intended start date is September 1, 2026.

Interested candidates should review the graduate school admission information and contact Professor Sungjun Kim with a CV and a brief description of research experience.

Funding details

Available

What's required

Applicants should be highly motivated PhD candidates, preferably for the PhD program rather than an integrated MS–PhD program. Preferred backgrounds include hardware algorithms, neural networks, AI systems, computer engineering, or electrical engineering. Experience in neural networks and deep learning, hardware-aware AI algorithms, AI accelerators and edge AI, neuromorphic computing, or in-memory computing architectures is especially relevant. Applicants from device fabrication, materials synthesis, or materials characterization backgrounds are generally not the target. Candidates must be able to prepare the required application documents by July 3, 2026 and be available to start on September 1, 2026.

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