(English)

Special Opening: Postdoctoral Researcher (DGIST InnoCORE E-MatAX)

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Exciting news — our E-MatAX Research Center has officially launched as part of the DGIST InnoCORE initiative, a flagship program that brings DGIST together with leading domestic and international institutions to accelerate AI-driven next-generation materials research. To kick off this new chapter, AI⁴M Lab is opening a dedicated Postdoctoral Researcher position with enhanced support and career opportunities.

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Research Focus

The postdoc will lead or contribute to one or more of the following directions.

• AI-driven analysis of battery cathode manufacturing data in collaboration with industry partners
• Data-driven modeling of synthesis mechanisms and autonomous exploration of optimal synthesis conditions
• Physics-based electrochemical simulation and fast surrogate modeling for battery behavior
• Real-time instrument control and closed-loop optimization toward a digital-twin-based autonomous battery research platform

New proposals aligned with our Closed-loop Research Ecosystem are also welcome.

Enhanced Benefits via DGIST E-MatAX InnoCORE

• Compensation: Annual salary of KRW 90M+ (institutional contributions included), stably supported by government-funded institute budget; additional funding available via matching and industry projects.
• Contract: Up to 5 years, renewed annually based on performance.
• Infrastructure: Access to DGIST Supercomputing Center, KISTI KSC-5, DGIST Nanofab, pilot process facilities, and a dry room; access to advanced analytical infrastructure at partner universities (SNU, POSTECH, Yonsei, Korea University).
• Mentoring: Dual mentoring (domain + AI), plus advisory support from international scholars at UC Berkeley, NYU, University of Michigan, UIUC, and Max Planck.
• Career Tracks: Academic (faculty preparation), Industry (industry-linked projects), and Startup (PoC, VC connections, technology commercialization).
• Relocation: E-3 visa fast-track, on-campus housing, and family settlement support in Daegu.

Who We Are Looking For

We welcome applicants from a broad range of backgrounds. A PhD (or near completion) in any of the following fields is a great fit.

• Materials-related fields: materials science and engineering, chemistry, chemical engineering, physics, mechanical engineering, electrochemistry, and related disciplines.
• Data and computation-related fields: computer science, data science, statistics, applied mathematics, industrial engineering, and related disciplines.
• Any closely related discipline that can connect to our research directions.

Prior experience in batteries or materials is welcome but not required. What matters most is enthusiasm for applying your expertise to energy materials research, and openness to collaboration across theory, experiment, and data.

How to Apply

Please send the following by email to [email protected]:

• Curriculum Vitae (CV)
• Cover Letter (research interests and motivation)
• Research Plan (1–2 pages)
• Contact information for at least two references

Application Deadline: Friday, April 24, 2026

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If this opportunity sounds interesting to you or to someone in your network, we warmly welcome inquiries and referrals. Informal pre-application contact is encouraged.

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Research Vision

AI⁴M Lab is pioneering AI-driven research in next-generation batteries and energy materials. Our goal is to drastically accelerate material discovery and optimization by establishing a Closed-loop Research Ecosystem that seamlessly integrates Computation, Experiment, and Data.

Research Culture

✨ We strive to research 'smarter,' not just harder.

• Active Use of Cutting-edge AI & Dev Tools: We actively incorporate Generative AI and modern development tools—including LLMs, Antigravity, Notion, and Slack—into our entire research and coding process. By minimizing repetitive tasks, we create an environment where researchers can focus solely on creative problem-solving.
• Convergence Methodology:
  • First-Principles Calculation: Precise property prediction via DFT calculations.
  • Data-Driven AI: Developing Machine Learning models based on experimental data (Specializing in Small Data & Noise Handling).
  • Autonomous Experimentation: Building AI-driven optimization and automated experimental workflows.

Key Research Topics

• Design & Optimization of Next-Gen Battery Materials (ASSB, Cathode, etc.)
• Development of AI-based Material Property Prediction Models
• Establishment of Integrated Computation-Experiment Workflows
• Development of Autonomous Synthesis Systems & Theory

Who We Are Looking For

Academic Background

• Majors: Materials Science & Engineering, Chemical Engineering, Chemistry, etc.
• Convergence: Majors in AI, Computer Science, or Mechanical Engineering with a strong interest in materials research are also highly welcome.

Preferred Qualifications

• Experience in battery material experiments.
• Proficiency in programming (Python, etc.).
• Experience with DFT calculations.

Eligibility

• Prospective graduates or recent graduates.

💡 Note: Our lab covers a wide range of fields including experiments, computation, and coding. You do not need to be perfect in all these areas at the start. Even if you lack experience in a specific field, a passion for learning and utilizing new tools (AI) is all that matters.

Benefits: Why AI⁴M?

🎯 We provide top-tier support and environment so you can fully immerse yourself in research.

• Research Environment: We offer an exceptionally spacious and comfortable individual workspace. To maximize research efficiency, high-end workstations/PCs are provided to every researcher.
• AI Tools: Premium LLM subscriptions (e.g., Claude Max, ChatGPT Pro) are provided to every researcher, enabling an AI-powered research workflow for maximum productivity.
• Financial Support: Full tuition coverage, monthly stipend, and performance-based incentives.
• Growth & Networking: On-campus housing (dormitory) available; active support for attending domestic and international conferences.

How to Apply

We welcome inquiries regarding admissions and lab life. If you are interested, please send the documents below via email.

• Personal Statement (or Cover Letter)
• Curriculum Vitae (CV)
• Contact: [email protected]

Recruitment Schedule

• Graduate Students: We are recruiting for the Spring 2027 semester. Please contact us in advance according to the admission schedule. (📌 [DGIST Admission Guide])
• UGRP (Undergraduate Research): Undergraduates interested in AI-based material research are welcome to apply at any time.
• Postdoctoral Researcher: We are recruiting a Postdoctoral Researcher in connection with the launch of the DGIST InnoCORE E-MatAX Research Center, with enhanced compensation and career support. See the "Special Opening: Postdoctoral Researcher (DGIST InnoCORE E-MatAX)" section above for full details.

(Korean)

특별 공고: 박사후연구원 모집 (DGIST InnoCORE E-MatAX)

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반가운 소식을 전합니다. 저희 연구팀이 참여하는 E-MatAX 연구단이 DGIST InnoCORE 사업단으로 공식 출범하였습니다. InnoCORE는 DGIST를 중심으로 국내외 유수 기관이 함께 참여하는 AI 기반 차세대 소재 연구 가속화 사업입니다. 새로운 시작을 함께해 주실 박사후연구원을 특별 채용 조건으로 모집합니다.

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연구 방향

지원자의 전문성과 관심에 따라 아래 주제 중 하나 이상을 주도하거나 참여하게 됩니다.

• 산업 공동 연구 기반의 배터리 양극재 제조 데이터 분석 및 AI 기반 해석
• 소재 합성 메커니즘의 데이터 기반 모델링 및 자율 탐색
• 물리 기반 배터리 전기화학 시뮬레이션 및 고속 서러게이트 모델 개발
• 실시간 실험 장비 제어 기반 폐루프(Closed-loop) 최적화 및 디지털 트윈 자율 실험 플랫폼 구축

AI⁴M Lab의 Closed-loop Research Ecosystem과 연계된 새로운 연구 주제 제안도 환영합니다.

특별 지원 혜택 (DGIST InnoCORE E-MatAX)

• 처우: 연봉 9천만 원 이상 (기관부담금 포함, 출연금 기반 안정적 보장), 매칭 수탁 및 기업 공동과제 연계 추가 인건비 확보 가능
• 계약 기간: 최대 5년 (매년 성과 평가 후 재계약)
• 연구 인프라: DGIST 슈퍼컴퓨팅센터, KISTI KSC-5, DGIST 나노팹, 파일럿 공정 설비, 드라이룸 활용 가능; 서울대·포항공대·연세대·고려대 등 첨단 분석 인프라 접근 가능
• 멘토링: 듀얼 멘토링 (도메인 멘토 + AI 멘토); UC Berkeley, NYU, University of Michigan, UIUC, Max Planck 등 해외 석학 자문 지원
• 커리어 트랙: 학술연구(교원 임용 연계), 기업(산업 실증 및 채용 연계), 창업(PoC·VC·기술이전) 3대 트랙 운영
• 정착 지원: E-3 비자 패스트트랙 지원, 캠퍼스 내 교직원 숙소 및 가족 정착 지원; 한국 국적 연구자의 경우 DGIST 전문연구요원 제도 활용 가능

지원 대상

다양한 학문적 배경을 가진 분들의 지원을 환영합니다. 아래 분야에서 박사학위를 소지하셨거나 취득 예정이신 분이면 누구나 좋은 후보가 될 수 있습니다.

• 소재·에너지 관련 분야: 재료공학, 화학, 화학공학, 물리학, 기계공학, 전기화학 등
• 데이터·계산 관련 분야: 컴퓨터과학, 데이터사이언스, 통계학, 응용수학, 산업공학 등
• 그 외 본인의 전공이 위 연구 주제와 연결될 수 있다고 판단되는 인접 학문 전반

배터리나 소재 분야 경험이 없더라도, 본인의 전문성을 에너지 소재 연구에 적용하는 데 관심이 있고 이론·실험·데이터를 넘나드는 협업에 열려 있으신 분이라면 언제든 지원해 주시기 바랍니다.

지원 방법

아래 서류를 이메일([email protected])로 제출해 주시기 바랍니다.