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We Are Hiring

We are looking for undergraduate students, master’s students, PhD students, postdoctoral researchers, and research assistants to join our team.

For details or to schedule an interview, please send your CV to kuoenjui@nycu.edu.tw.

Who We Are Looking For

We welcome members with interests in the following areas:

1. Pure Mathematics & Proofs

• Passionate about abstract mathematical structures and formal proofs.
• Interested in areas like functional analysis, probability theory, optimization, and complexity theory.
• Enjoys writing rigorous mathematical arguments and working on foundational problems in quantum computing and machine learning theory.

2. Theoretical Physics & Coding

• Excited about quantum mechanics, condensed matter physics, and statistical mechanics.
• Enjoys deriving equations, proving theorems, and developing analytical models.
• Comfortable with numerical simulations and symbolic computation using tools like Mathematica, Python (SymPy, NumPy), and MATLAB.

3. Applied Coding & Computational Science

• Passionate about high-performance computing (HPC), numerical methods, and software development.
• Experienced or interested in C++, Julia, Python, or Rust for scientific computing.
• Enjoys implementing Monte Carlo methods, differential equation solvers, and machine learning algorithms for quantum systems, materials science, and financial modeling.

4. AI Theory & Coding

• Interested in Neural Scaling Laws, deep learning theory, and quantum machine learning.
• Curious about how quantum computing can enhance AI, from variational quantum circuits to quantum-inspired optimization.
• Comfortable with PyTorch, TensorFlow, JAX, or custom ML frameworks for research-level AI model implementation.

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What You Will Do

[Academic Work]

• Develop new theoretical models in quantum computing, AI, and mathematical physics.
• Implement efficient numerical simulations and machine learning algorithms.
• Write technical reports, journal papers, and thesis manuscripts.
• Attend conferences and workshops to present research findings.

[Lab Administration]

• Maintain and manage computational resources, servers, and research software.
• Optimize high-performance computing workflows for large-scale simulations.
• Assist in grant writing, collaboration management, and research documentation.

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我們正在招募

我們正在尋找大學部專題生、碩士生、博士生、博士後研究員與研究助理加入我們的研究團隊。

如需詳細資訊或安排面談，請將履歷寄至 kuoenjui@nycu.edu.tw。

招募對象

我們歡迎對以下領域有興趣的成員：

1. 純數學與證明

• 熱愛數學理論，喜歡抽象結構與嚴謹證明。
• 對 泛函分析、機率論、最佳化、計算複雜性 等領域有興趣。
• 喜歡推導公式、撰寫數學論證，研究量子計算與機器學習理論的基礎問題。

2. 理論物理與程式設計

• 對量子力學、凝聚態物理、統計力學感興趣。
• 喜歡推導物理公式、證明定理、建立數學模型。
• 熟悉或有興趣學習 Mathematica、Python（SymPy, NumPy）或 MATLAB 進行符號計算與數值模擬。

3. 應用程式設計與計算科學

• 熱衷於 高效能計算（HPC）、數值方法與軟體開發。
• 具備或有興趣學習 C++、Julia、Python、Rust 進行科學計算。
• 喜歡實作蒙地卡羅方法、數值微分方程求解器、機器學習演算法，應用於量子系統、材料模擬或金融建模。

4. AI 理論與程式設計

• 有興趣研究 Neural Scaling Laws、深度學習理論與量子機器學習。
• 想探索 量子計算如何增強 AI，例如變分量子電路、量子啟發的最佳化方法。
• 熟悉或想學習 PyTorch、TensorFlow、JAX 或自訂的機器學習框架 進行研究級 AI 模型開發。

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工作內容

[學術研究]

• 建立新的理論模型，研究量子計算、AI 及數學物理問題。
• 撰寫技術報告、學術論文與論文手稿。
• 開發數值模擬與機器學習演算法。
• 參與 研討會、學術交流，發表研究成果。

[實驗室管理]

• 負責高效能計算伺服器與研究軟體的維護與管理。
• 最佳化 HPC 工作流程，進行大規模數值模擬。
• 協助 研究計畫申請、國際合作、研究報告撰寫。

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如果你對這些研究方向有興趣，歡迎聯繫我們並加入團隊！