AI for Science：Research Assistant / Postdoctoral Fellow / Scientist

Position Description:

We are seeking highly motivated Research Assistants, Postdoctoral Fellows, or Scientists to join our interdisciplinary team working on AI for Science research with a focus on sustainable energy technologies and materials innovation. The candidate will work on cutting-edge projects integrating artificial intelligence, physics-based modeling, and high-throughput experimentation to accelerate discovery, evaluation, and deployment of next-generation energy solutions.

Key Responsibilities

• Develop and implement AI/ML models for materials design and optimization.

• Integrate data-driven models with physics-informed simulations for multi-scale analysis.

• Build and maintain high-quality datasets, including experimental and industrial data.

• Collaborate with researchers, industry partners, and policymakers to translate AI insights into practical applications.

• Contribute to software platforms and publish in leading journals.

Requirements:

• Master/PhD in Engineering, Computer Science, Data Science, Physics, Chemistry, or a related field.

• Strong background in machine learning, deep learning, or AI for scientific applications.

• Proficiency in Python and ML frameworks (e.g., PyTorch, TensorFlow).

• Experience with materials modeling or experimental workflows is highly desirable.

• Demonstrated ability to work in interdisciplinary teams and produce high-impact research.

Preferred Skills:

• Familiarity with sustainable energy systems (batteries, solar, hydrogen).

• Experience in combining AI with physics-based or multi-scale simulations.

• Knowledge of ESG, carbon accounting, or energy policy frameworks.

We Offer:

• Opportunity to work on high-impact research bridging AI and sustainable energy science.

• Collaborative environment with leading academics and industry partners.

• Competitive salary and benefits.

科学智能（AI4Sci）：科研助理 / 博士后 / 科研人员

职位描述：

我们诚邀积极优秀的 科研助理、博士后或科研人员 加入跨学科团队，从事 科学智能研究，重点聚焦于可持续能源技术与材料创新。该岗位将参与前沿项目，结合 人工智能、基于物理的建模及高通量实验平台，加速下一代能源解决方案的发现、评估与应用。

岗位职责：

• 开发并实现用于材料设计与优化的 AI/ML 模型。

• 将数据驱动模型与基于物理的多尺度模拟相结合。

• 建立并维护高质量的实验与工业数据集。

• 与科研人员、产业合作伙伴及政策制定者协作，将 AI 研究成果转化为实际应用。

• 参与软件平台开发并在高水平期刊发表研究成果。

任职要求：

• 工程、计算机科学、数据科学、物理、化学或相关领域硕士/博士学位。

• 扎实的 机器学习、深度学习或 AI 科学应用 背景。

• 熟练掌握 Python 及 ML 框架（如 PyTorch、TensorFlow）。

• 有材料建模或实验流程经验者优先。

• 具备跨学科团队合作与高水平科研成果产出的能力。

优先条件：

• 熟悉可持续能源系统（电池、光伏、氢能）。

• 有 AI 与基于物理/多尺度模拟结合的经验。

• 了解 ESG、碳核算或能源政策框架者优先。