대학원생 & 학부생인턴 모집

화합물에 관한 데이터 처리 및 관련 인공지능 기술 개발에 관심있는 학부생인턴 및 대학원생을 모집합니다.

자세한 내용은 아래를 참조해주시기 바랍니다.

• 모집기간: 수시모집 (종료시 재 안내)

• 모집인원: 0명

• 지원요건:

  1. 재학생

  2. 전공무관

  3. 3학년 이상

  4. 다음의 연구 주제 중 적어도 1개에 관심이 있어야 함

     • 생물 및 화학 데이터 전처리 및 분석

     • 트랜스포머, GPT, BERT에 관한 연구 및 개발 

     • 프롬프트 엔지니어링(prompt engineering)에 관한 연구 및 개발

     • LLM 응용 웹서비스 개발 및 운영

     • 도커(docker), 쿠버네티스(kubernetes) 등 

• 지원방법: PI에게 이메일로 자기소개 및 면담 일정 예약하기

Graduate Student Positions (M.S./Ph.D.) - Rolling Admission

Our AI-Powered Cheminformatics Laboratory is actively seeking talented and motivated graduate students (M.S., Ph.D., or Integrated M.S./Ph.D.) passionate about the intersection of artificial intelligence and drug discovery.

Recruitment Period: Rolling (Year-Round)

Number of Openings: Multiple (O명) / TBD

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Minimum Qualifications 

Applicants must meet the following criteria:

• Eligible for admission to the Hallym University Graduate School.

• Have no restrictions on international travel.

• A strong passion for and commitment to research in AI-driven drug discovery or cheminformatics.

• Strong programming skills (e.g., Python) and hands-on experience with deep learning frameworks (e.g., PyTorch, TensorFlow).

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Preferred Qualifications

We are seeking candidates who demonstrate a strong interdisciplinary foundation. Ideal candidates will have experience or familiarity with at least one topic from EACH of the following categories, combined with a strong motivation to deepen their expertise in both domains.

[AI / Computer Science]

• Transformer, GPT, BERT

• Graph Neural Network (GNN)

• Denoising Diffusion Probabilistic Model (DDPM)

• Variational Autoencoder (VAE)

• Generative Adversarial Network (GAN)

• Reinforcement Learning (e.g., SAC, PPO)

• Large Language Models & Agent Systems (e.g., RAG)

[Cheminformatics / Bioinformatics]

• Molecular representations (SMILES, SELFIES)

• Sequence formats (FASTA)

• Molecular file formats (SDF, PDB)

• Drug-Target Affinity (DTA) or Binding Affinity (BA)

• ADMET (Absorption, Distribution, Metabolism, Excretion, Toxicity)

• Protein-Protein Interaction (PPI)

• Protein structure prediction (e.g., AlphaFold, RoseTTAFold)

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Application Procedure

We strongly encourage interested candidates to contact the Principal Investigator (PI), before formal application.

Please email the PI with the following documents to schedule an informal meeting:

• A brief self-introduction (Cover Letter)

• Your CV (Curriculum Vitae)

• Academic Transcripts

For general inquiries, please refer to the Contact page on our lab's website.