- Development and implementation of deep learning models
o Object detection, tracking, classification, segmentation
o LLM, NLP
o Video summarization, anomaly detection
o Lightweight deep learning and model compression
o Image improvement (noise reduction, blur removal, fog removal)
o Image matching and fusion
- Conducting experiments and data analysis, deriving research results
- Collaborating with researchers and engineers, writing papers for international journals and conferences
- Analyzing and applying the latest deep learning technologies and research trends
- Expanding research opportunities through writing research funding and project proposals
Responsibilities
- Development and implementation of deep learning models
o Object detection, tracking, classification, segmentation
o LLM, NLP
o Video summarization, anomaly detection
o Lightweight deep learning and model compression
o Image improvement (noise reduction, blur removal, fog removal)
o Image matching and fusion
- Conducting experiments and data analysis, deriving research results
- Collaborating with researchers and engineers, writing papers for international journals and conferences
- Analyzing and applying the latest deep learning technologies and research trends
- Expanding research opportunities through writing research funding and project proposals
Qualifications
- Ph.D. in Computer Engineering, Electrical and Electronic Engineering, or related fields (Preference for deep learning and computer vision majors)
- Expertise in deep learning, computer vision, and image processing
- Experience publishing research papers in international journals and conferences
- Proficient in Python, TensorFlow, PyTorch, C/C++, MFC programming
- Excellent communication and collaboration skills
- Ability to conduct independent research and work in a team
- Eligible for international travel
Preferred Qualifications
- Experience publishing papers in top-tier journals or conferences related to AI
- Analyzing and implementing technical documents in English
- Experience developing embedded and edge systems such as NVIDIA Jetson
- More than 2 years of experience in computer vision and AI development
- Knowledge of image processing and computer vision libraries such as OpenCV
Benefits
- Flexible working hours, performance-based project bonuses, support for self-development expenses
- Ph.D. linkage support
- Registration and travel expenses for domestic and international conferences, support for academic activities
- Salary: Negotiable, probation period: 3-5 months (100% salary paid)
- Workplace: Gasan Digital Complex, Geumcheon-gu, Seoul
Submission Documents and Selection Process
- 1st: Document screening
o Submission documents: CV, project-based portfolio, transcripts, and graduation certificate, proof of research achievements
- 2nd: Technical interview
- 3rd: Final interview
Others
- Employment may be canceled upon discovery of false facts
- Submitted documents will not be returned, and hiring may be canceled if no suitable candidates are found.
