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Opportunities

JoinINSLAB

From curiosity to technology, from ideas to systems — we're looking for researchers to build with us.

Explore opportunities for graduate and undergraduate research positions.

01

Why INSLAB?

01

Cutting-Edge Research

Work on state-of-the-art problems in AI, 6G networking, federated learning, and IoT security with real-world impact.

02

Collaborative Environment

Join a supportive lab culture with regular seminars, code reviews, and mentoring from experienced researchers.

03

Publication Support

Receive guidance to publish at top-tier venues like IEEE ICC, TNSM, and Access with comprehensive support throughout the process.

02

Open Positions

Data

Data pattern recognition-based solution development

System

Edge AI-based intelligent system development

Service

User-centric IoT platform service development

XOps

End-to-end AI workflow automation environment

Ideal Candidate

  • Passionate about learning and growth
  • Persistent in pursuing goals with determination
  • Strong communication and collaboration skills
  • Team-oriented with a strong sense of responsibility

Qualifications

  • Sophomore or above in a related major
  • Programming coursework grade of A or above
  • Familiarity with Linux basics
  • Able to participate in lab activities for at least 1 year

Benefits

  • Book and resource funding
  • Domestic and international conference participation support
  • Personal research space and equipment
  • Research program participation opportunities

Selection Process

01Document Review
021st Interview
032nd Interview
04Final Acceptance
03

Frequently Asked Questions

INSLAB focuses on three pillars: DATA (data collection and processing), SYSTEM (intelligent networks and Edge AI), and SERVICE (IoT applications and solutions). With intent-based autonomous intelligent systems as our core direction, you can explore topics across these areas based on your interests.

Yes, graduate students are supported through research project funding, university scholarships, and teaching assistantships. Details are discussed during the admission process.

Prior experience is helpful but not required. We value motivation, curiosity, and willingness to learn. Undergraduate research experience or relevant project work is a plus.

Graduate students participate in weekly lab seminars, individual research meetings with the advisor, and collaborative coding sessions. The lab encourages a balanced and productive research rhythm.

04

How to Apply

To express your interest in joining INSLAB, please send an email to Prof. Dae-Young Kim with the following documents attached.

Send your application to:

dyoung.kim@sch.ac.kr

Required Documents

  • CV / Resume
  • Academic transcript (unofficial is fine)
  • Brief statement of research interests (1 page)
  • Any relevant publications or project portfolios (optional)