If you are interested in LIMS, please feel free to contact our lab (lims.cnucm@gmail.com) with your CV, academic transcript, portfolio, and research interests.
Requirements
Who have obtained or are expected to obtain a PhD degree
2 or more SCIE papers (or CS top conference) in related fields as lead author (first or corresponding)
Preferred Qualifications
Strong publication records
Experience in collaborative research with clinicians/physicians
Great communication skills
Recruitment Process
Resume/CV screening -> Technical Interview
Requirements
Bachelor's or Master's degree in CS/EE/IE/ME/BME/Math/Stat/Medicine, etc.
Highly self-motivated and proactive mindset for research
Preferred Qualifications
SCIE (or CS top conference) publication records
Experience in collaborative research with clinicians/physicians
Great communication skills
Recruitment Process
Resume/CV screening -> Technical Interview
Requirements
Who have obtained or are expected to obtain a bachelor's degree
Highly self-motivated and proactive mindset for research
Academic interest in CS/EE/IE/ME/BME/Math/Stat subjects
Preferred Qualifications
Interest in domain knowledge (e.g., medicine, artificial intelligence)
Understanding of AI and ML tasks and implementation skills (e.g., Python, Pytorch, Tensorflow)
Great communication skills
Great learning curves
Recruitment Process
Resume/CV screening -> Technical Interview
Requirements
Self-motivated and interested in medical AI/informatics research
Academic interest in CS/EE/IE/ME/BME/Math/Stat subjects
Preferred Qualifications
Interest in domain knowledge (e.g., medicine, artificial intelligence)
Great learning curves
Who is considering a graduate course in our lab
Recruitment Process
Resume/CV screening -> Culture Interview
Important Note: In our lab, we generally do not consider candidates for PhD or combined MS/PhD programs unless they have previously participated as student research interns on our research projects. Our lab also highly recommends that master's students pursue student research internships in advance.
중요사항: 저희 연구실에서는 우리 연구실 연구 인턴 활동을 하지 않은 학생에 대해서 박사 과정 혹은 석박사 통합 과정 구성원으로는 거의 고려하지 않습니다. 석사 과정의 경우에도 저희 연구실의 학생 연구 인턴을 매우 권장합니다.
Requirements
Who have obtained or are expected to obtain a bachelor's degree
Highly self-motivated and proactive mindset for research
Academic interest in CS/EE/IE/ME/BME/Math/Stat subjects
Preferred Qualifications
Interest in technical knowledge (e.g., engineering, artificial intelligence)
Understanding of AI and ML tasks and implementation skills (e.g., Python, Pytorch, Tensorflow)
Great communication skills
Great learning curves
Recruitment Process
Resume/CV screening -> Technical Interview
Requirements
Self-motivated and proactive mindset for research
Academic interest in CS/AI/ML subjects
Preferred Qualifications
Interest in technical knowledge (e.g., engineering, artificial intelligence)
Understanding of AI and ML tasks and implementation skills (e.g., Python, Pytorch, Tensorflow)
Recruitment Process
Resume/CV screening -> Culture Interview
[2026.03] A new paper has been accepted for publication in BMC Medical Informatics and Decision Making (SCIE, IF=3.8, JCR 2024 Q2). "Development and internal validation of a deep learning algorithm for intraoperative arterial pressure-based stroke volume index estimation in children: a single-center retrospective study"
[2026.03] Hyun-Lim joined Chungnam National University College of Medicine as an Assistant Professor.
[2026.02] A new co-authored paper has been accepted for publication in Anaesthesia (SCIE, IF=7.5, JCR 2024 top 4.41%). "Effects of anaesthesia type on the development of persistent postoperative opioid utilisation: a Korean nationwide cohort study"
[2026.02] Hyun-Lim will serve on the organizing committee for the Korean Society of Digital Health Conference.
[2025.09] I have been promoted to Clinical Assistant Professor (임상교수) in the Office of Hospital Information at Seoul National University Hospital!
[2025.08] A new paper has been accepted for publication in the Journal of Clinical Anesthesia (SCIE, IF=5.1, JCR 2024 top 10.29%). "Associations of Driving Pressure and Mechanical Power with Postoperative Pulmonary Complications in One-lung Ventilated Surgery"
[2025.07] An Editorial in the British Journal of Anaesthesia has honorably mentioned our paper! https://doi.org/10.1016/j.bja.2025.06.016
[2025.05] A new patent has been granted to the European Patent Office. "DEVICE AND METHOD FOR CALCULATING STROKE VOLUME USING AI", 21-759-740.0
[2025.04] A new paper has been accepted for publication in the Korean Journal of Anesthesiology (SCIE, IF=4.2, JCR 2023 top 14.06%). "Analysis and development of risk prediction models for chronic opioid use after surgery: a cohort study using the nationwide database"
[2025.03] A new paper has been accepted to the British Journal of Anaesthesia (SCIE, IF=9.1, JCR top 3.125%). "Effect of selection bias on the performance of deep learning-based intraoperative hypotension prediction model using real-world samples in a publicly available dataset"
[2025.01] A new paper has been accepted for publication in the Journal of the American Medical Informatics Association (SCIE, IF=4.7, JCR top 10.92%). "Development and validation of a multi-stage self-supervised learning model for optical coherence tomography image classification"
[2025.01] A new co-authored paper was accepted to Digital Health (SCIE, IF=2.9), "Prediction of reduced left ventricular ejection fraction using atrial fibrillation or flutter electrocardiograms: A machine-learning study."
[2024.11] A new co-authored paper was accepted to npj Digital Medicine (SCIE, IF=12.4, JCR top 1.15%). "Reinforcement learning model for optimizing dexmedetomidine dosing to prevent delirium in critically ill patients"
[2024.10] A new paper has been accepted to the Journal of Biomedical Engineering Research (의공학회지; KCI). "Development of a Guideline and Requirement Analysis Aligned with the R&D Process for Software as Medical Device Approval (소프트웨어 의료기기 허가심사를 위한 연구개발 프로세스 연계 요구사항 분석 및 가이드라인 개발"
[2024.10] I've been appointed as an Adjunct Assistant Professor (겸임조교수) at the Seoul National University College of Medicine!
[2024.09] A new paper has been accepted for publication in the Journal of Critical Care (SCIE, IF = 3.2). "Feasibility of estimating tidal volume from electrocardiograph-derived respiration signal and respiration waveform "
[2024.08] I've been appointed as an Assistant Professor (진료조교수) at the Office of Hospital Information of Seoul National University Hospital!
[2024.05] I have been awarded a research grant (Sejong Science Fellowship) of the National Research Foundation of Korea!
[2024.05] A new paper was presented at the ICMHI 2024 conference. "Comparison of Self-Supervised Learning Methods for Optical Coherence Tomography Image Classification"
[2024.01] Our AI-based SaMD, APCONet, has been approved as a software medical device by the Ministry of Food and Drug Safety of Korea! (품목인증번호: 제인 24-113호)
(Press Article): https://www.dailymedi.com/news/news_view.php?wr_id=909531
[2024.01] A new co-authored paper was accepted for publication in EClinicalMedicine (SCIE, IF = 15.1, JCR top 8.28%). "Deep learning-based long-term risk evaluation of incident type 2 diabetes using electrocardiogram in a non-diabetic population: a retrospective, multicentre study"
[2023.11] A new co-authored paper was accepted for publication in npj Digital Medicine (SCIE, IF=15.2, JCR top 0.94%, rank #1). "Real-time machine learning model to predict in-hospital cardiac arrest using heart rate variability in ICU"
[2023.11] A new co-authored paper was accepted for publication in the Journal of the American Medical Informatics Association (SCIE, IF=6.4, JCR top 9.43%). "Automatic segmentation of atrial fibrillation and flutter in single-lead electrocardiograms by self-supervised learning and Transformer architecture"
[2023.10] A new co-authored paper has been accepted for publication in Scientific Reports (SCIE, IF = 4.6). "Real-time dual prediction of intradialytic hypotension and hypertension using an explainable deep learning model"
[2023.03] Our team member (Seong-A Park) won the 2023 Excellence in Technology Award at the Society for Technology in Anesthesia (STA) 2023! "A Non-invasive Algorithm for Predicting Cardiac Output Using a Convolutional Neural Network"
[2023.02] A new co-authored paper was accepted for publication in PLoS One (SCIE, IF = 3.752). "Machine learning-based prediction of intraoperative hypoxemia for pediatric patients"
[2022.12] Our team won the First Runner-Up Award (top 3 among 21 selected teams) at the Singapore Healthcare AI Datathon & Expo (SHADE) 2022! "Development of an AI model for non-invasive prediction of cardiac output"
[2022.10] A new co-authored paper was accepted for publication in Anaesthesia (SCIE, IF=12.893, JCR top 1.47%, #1). "A deep learning model for predicting a difficult laryngoscopy based on a cervical spine lateral X-ray image"
[2022.06] A new paper was accepted to MICCAI 2022 (the top conference in the medical AI area). "Attention mechanisms for physiological signal deep learning: which attention should we take?"
[2022.05] A new co-authored review paper has been accepted for publication in the Korean Journal of Anesthesiology (SCIE, IF = 5.167). "Artificial intelligence in perioperative medicine: a narrative review"
[2021.12] Our team won 3rd Prize (ranked 4th among 57 teams) at the MAIC challenge! "CDM AI challenge: Forecasting AKI"
[2021.12] Our team won the Second Runner-Up Award (top 6 among 62 teams) at the Singapore Healthcare AI Datathon 2021! "AI model for Intraoperative Hypoxemia Prediction"
[2021.09] I've been appointed as Deputy Head of the Division of Medical Regulatory Affairs at Seoul National University Hospital.
[2021.08] A new paper has been accepted for publication in JMIR Medical Informatics (SCIE, IF = 3.231). "Development and validation of an arterial pressure-based cardiac output algorithm using a convolutional neural network: Retrospective study based on prospective registry data"
[2021.03] A new co-authored paper was accepted to European Radiology (SCIE, IF=7.034, JCR top 15%). "Automatic Prediction of Left Cardiac Chamber Enlargement from Chest Radiographs using Convolutional Neural Network"
[2021.02] I've started work at Seoul National University Hospital as a Research Assistant Professor.