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Open nowPosted 9 days ago

AI for Chemistry Research Scientist Internship

LG AI Research41 open roles

Where
Gangseo-gu, Seoul, South Korea
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Your applicationOpen nowAI for Chemistry Research Scientist InternshipLG AI Research · Gangseo-gu, Seoul, South Korea

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on LG AI Research's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

8.1% of postings close within 7 days. Measured by our own scanner across the market. LG AI Research postings stay open a median of 1 days.

Share of postings closed within
  1. 1.7%1 day
  2. 3.6%3 days
  3. 8.1%7 days
  4. 15.0%14 days
  5. 34.0%30 days
This job: posted 9 days ago

LG AI Research median: 1 days open

The posting

팀 소개

Materials Intelligence Lab은 최신 AI 기술과 과학 지식을 결합하여 화학·소재 분야의 연구를 혁신합니다. 소재의 특성을 예측하고 새로운 후보물질을 설계하는 파운데이션 모델과, 이를 실제 실험으로 검증하는 자율실험실 기반의 소재개발 플랫폼을 연구합니다. LG 계열사 및 국내외 연구기관과 협업하며, 산업 현장의 문제를 해결하고 소재 개발에 필요한 시간과 자원을 줄이고자 합니다.

수행 업무

산업 특화 화학·소재 AI 모델 개발 연구 인턴

  • 화학 소재 연구개발 수요 분석 및 AI 모델 개발 과제 정의 (예, 반도체, 배터리, 바이오 분야)
  • 산업별 특화 모델 학습을 위한 데이터 확보·구축 및 품질 검증
  • 화학·소재 파운데이션 모델의 Fine-tuning 및 학습 방법 연구
  • 주요 연구 분야: Molecular/Materials Representation Learning, Transfer Learning & Fine-tuning, Graph Neural Networks, Multi-modal Learning, Uncertainty Estimation, Active Learning

지원자격

  • 관련 분야 석사 또는 박사 학위 소지
  • Deep Learning/Machine Learning 알고리즘 연구/개발 경험 보유
  • 화학·소재 분야의 문제를 이해하고 AI 모델링 과제로 연결하는 연구에 관심이 있는 분

우대사항

  • 분자·고분자·혼합물·재료 데이터 기반 예측·생성 모델 개발 경험
  • 파운데이션 모델 Fine-tuning, 전이학습 또는 도메인 적응 연구 경험
  • 새로운 ML/DL 모델 구조 및 학습 방법론의 설계·구현 경험

전공

  • 컴퓨터공학, 전산학, 전자공학, 산업공학, 기계공학, 화학공학, 재료공학, 생명공학, 물리학, 화학, 생물학

전형 절차

  • 서류심사 → 코딩테스트 & LG Way Fit Test (온라인 인성검사) → 기술 인터뷰 (온라인)

* 전형 절차는 변경될 수 있습니다. 서류 합격 시 전형 절차에 대해 별도로 안내해 드립니다.

현재 LG AI연구원은 병역지정업체가 아니므로, 전문연구요원 채용 및 전직이 불가함을 알려드립니다. 지원 시 문제가 있을 경우 [email protected] 로 문의 부탁드립니다.

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