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Sungjun Kim

4 months ago

PhD Positions in AI, Computer Engineering, and Semiconductor Devices at Dongguk University Dongguk University in South Korea

Degree Level

PhD

Field of study

Computer Science

Funding

Outstanding students may receive a 100% tuition scholarship from the university. Applicants with TOEFL iBT ≥71, IELTS ≥5.5, or CEFR B2 (or equivalent) may receive a 50% tuition scholarship, and the research group may increase the monthly research assistantship to cover the remaining tuition, resulting in effective full financial support.

Deadline

Mar 1, 2027

Country flag

Country

South Korea

University

Dongguk University

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Keywords

Computer Science
Electrical Engineering
Deep Learning
Artificial Intelligence
Artificial Neural Network
Geometric Modeling
Device Fabrication
Computer Architecture

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About this position

Dongguk University in Seoul, South Korea is recruiting 2–3 PhD students for Spring 2027 admission (March 2027) in a research group led by Professor Sungjun Kim.

The opening focuses on AI / Computer Engineering and Semiconductor Devices. Research topics include deep learning, neural networks, hardware-aware AI, AI accelerators, edge AI, neuromorphic computing, in-memory computing, computer architecture, hardware/software co-design, modeling and simulation, as well as RRAM, FeFET, FTJ, device fabrication, electrical characterization, device modeling, and reliability.

The lab emphasizes end-to-end research from device fabrication to AI hardware demonstration, with in-house fabrication facilities and advanced electrical characterization equipment. Students working on semiconductor devices can use ALD, sputtering, and basic photolithography equipment, along with Keithley 4200A systems and Keysight B1500 analyzers for characterization.

Preferred applicants should have a degree in Electrical/Electronics Engineering, Computer Engineering, Computer Science, or a related field, and research experience during the master's program is preferred. The professor prefers direct PhD applicants rather than integrated MS–PhD applicants. Strong backgrounds in AI, device modeling, circuits, computer architecture, or semiconductor devices are especially relevant.

Funding is available through tuition scholarships. Outstanding students may receive a 100% tuition scholarship. Applicants with TOEFL iBT ≥71, IELTS ≥5.5, or CEFR B2 (or equivalent) may be eligible for a 50% tuition scholarship, and the group may supplement the monthly research assistantship to cover the remaining tuition, creating effective full financial support.

Interested candidates should email the professor with a CV, brief research summary, expected graduation date, and English test score if available. Early contact is encouraged. The post explicitly says not to inquire about postdoctoral positions.

Funding details

Outstanding students may receive a 100% tuition scholarship from the university. Applicants with TOEFL iBT ≥71, IELTS ≥5.5, or CEFR B2 (or equivalent) may receive a 50% tuition scholarship, and the research group may increase the monthly research assistantship to cover the remaining tuition, resulting in effective full financial support.

What's required

Applicants should hold a degree in Electrical/Electronics Engineering, Computer Engineering, Computer Science, or a related field. Research experience during the master's program is preferred. Applicants should apply directly to the PhD program rather than the integrated MS-PhD track. Preferred backgrounds include AI, device modeling, circuits, computer architecture, or semiconductor devices; applicants whose background is primarily materials synthesis or characterization are generally not targeted. English test scores are requested in advance, with TOEFL iBT 71+, IELTS 5.5+, or CEFR B2 (or equivalent) qualifying for scholarship consideration.

How to apply

Email the professor with your CV, brief research summary, expected graduation date, and English test score if available. Contact early to discuss fit and prepare the required English score in advance. Do not inquire about postdoctoral positions.

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Professors

Professor

University Name
Country flag

South Korea

Research Interests

Hardware Engineering

Materials Chemistry

Nonvolatile Memory

Memristor Technology

Solid-state Electronics