Ph.D.
Ph.D. students
Own a research line end-to-end on funded national projects — datasets, models, deployed systems — and build an international publication record. International applicants are welcome.
Join · 모집
Join the Database Lab
We are recruiting M.S./Ph.D. students and undergraduate interns. Work on funded national projects — voice-phishing detection, rights-metadata AI, flash storage — publish internationally, and build systems that ship.
Open positions
Who We Recruit 모집 대상
Three ways into the lab — all of them start with an email.
M.S.
M.S. students
Join a funded project team and shape your thesis inside an active line — multimodal vishing detection, NER + LLM metadata, or data systems — with close advising and real research deadlines.
Intern
Undergraduate interns
Hands-on research for Soongsil undergraduates — real datasets, real baselines, weekly seminars. A natural on-ramp to the M.S. program.
Research topics
What You'll Work On 연구 주제
Current, funded, and publishable — three active lines you can join on day one.
vishing
Multimodal vishing detection
Audio–text fusion for Korean voice-phishing, lightweight acoustic models built for real-time detection, and the KorCCVi dataset line.
nlp · metadata
NER + LLM rights-metadata extraction
A deployed "division of labor" pipeline for Korean public-domain rights documents — fine-tuned Korean NER and schema-guided LLM extraction, consolidated with per-field provenance.
storage systems
Storage systems heritage
The lab's systems DNA — the FAST flash translation layer (700+ citations), flash-aware indexing, and forensic data recovery — carried into today's coursework and systems-minded research culture.
Offer · 혜택
What we offer
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Funded national projects
The lab co-runs the MCST/KOCCA copyright-metadata R&D consortium (2025–2026) and keeps an active national-project pipeline.
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International publication record
IEEE Access, MDPI Mathematics, ACM TECS — plus the KCC 2022 Outstanding Paper Award (KIISE) and ACK 2021 Encouragement Paper Award (KIPS).
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Real datasets & systems
The first labeled Korean voice-phishing transcript dataset (KorCCVi), open code, and reproducible benchmarks — research that ships.
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Mentoring & seminars
Weekly lab seminars, close advising, and TA experience (auto-grading infrastructure) on courses that run at ~100-student scale.
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International lab culture
Members and alumni from Gabon, Vietnam, and China — English-friendly collaboration in a Korean lab.
Apply · 지원
How to apply
Email your CV and transcript to Prof. Park.
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Email Prof. Park
Send your CV and transcript to djpark@ssu.ac.kr, with a short note on what you want to work on.
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Talk with the lab
A short conversation about topics and fit — in person or online.
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Apply to the Graduate School
Submit your application to the Soongsil Graduate School during the admissions window. (Undergraduate interns skip this step.)
FAQ · 자주 묻는 질문
FAQ
Are graduate positions funded?
Most graduate students work on funded national R&D projects, and research stipends are typically tied to project participation. Specifics depend on the project mix at the time you join — discuss the details with Prof. Park at the interview stage.
How are research topics chosen?
Thesis topics grow out of the lab's active lines — multimodal vishing detection, NER + LLM metadata extraction, and data systems. Within those lines there is real room to define your own problem, and the topic usually sharpens over your first semester.
Do you accept international students?
Yes — the lab has a genuine international track record: two Ph.D. alumni from Vietnam, an M.S. graduate from China, and our current Ph.D. candidate is from Gabon. Research in English works fine; Korean helps with coursework and daily life.
I'm an undergraduate — can I do research here?
Yes. We take Soongsil undergraduate interns year-round. Email Prof. Park with your year, the courses you have taken (Database and File Processing help), and what you would like to try — internships often lead into the M.S. program.
Teaching · 강의
Teaching 강의
Courses taught around the lab — often the first contact point for future members.
Databases 데이터베이스
Fundamentals of database systems: data models, the ER model, and the relational model; the SQL query language and relational algebra; transactions; and normalization theory (1NF–BCNF) as the key stage of database design — with hands-on labs on a commercial DBMS.
Prof. Park's flagship course, taught since at least 2008. Full open courseware on KOCW (2015-2, 9,132 views).
Database Applications 데이터베이스응용
The advanced sequel to Databases: transaction management and concurrency control, crash recovery, storage and RAID, indexing and B+-trees, query processing and optimization, object-relational databases, and OLAP, data warehousing and data mining.
Prerequisite: Databases. Offered 2021 and 2026 (previously titled Database Applications & Programming).
File Processing 파일처리
File storage devices, logical vs. physical files, direct access, indexing, cosequential processing and k-way merge sort, B-/B+-trees and hashing — connecting file structures to DBMSs and to modern SSD/flash storage.
Taught since at least 2008. Project arc: C/Unix file I/O → emulated NAND flash device → hybrid-mapping FTL, with lab-built auto-grading at ~100-student scale.
Advanced Topics in Databases 데이터베이스특론
Graduate special topics in databases — advanced dynamic-data management including moving-object and trajectory data, stream data, and P2P / sensor-network data systems.
Offered 2019.
Advanced Mobile Data Management 모바일데이터관리특론
Graduate course on managing dynamic data in mobile environments: wireless and mobility issues, location-based services, data broadcasting, P2P databases and DHTs, and disconnected operation — run with paper seminars and a term project.
Offered 2014.