撰写留学就业介绍信（通常指留学申请中的推荐信或就业推荐信）时，需结合具体用途（如留学申请、求职应聘）突出被推荐人的优势、能力和匹配度。以下是针对留学申请推荐信和就业推荐信的通用模板及写作指南，供 2025 年参考：
一、留学申请推荐信（学术 / 职业背景推荐）
适用场景
用于向国外院校证明申请人的学术能力、实践经验、职业潜力等，通常需 2-3 封，推荐人可为教授、实习 / 工作上司、项目导师等。
结构与内容
标题：Recommendation Letter for [Applicant’s Name]
开头：推荐人信息（姓名、职位、单位、联系方式）+ 与申请人的关系（相识时间、场合）
正文：
- 学术 / 专业能力：
- 举例：课程成绩、研究项目、学术成果（如论文、专利）、解决问题的能力。
- 例：“在我教授的《XX 课程》中，XXX 同学以 95 分（前 5%）的成绩结业，其小组项目‘XX 研究’通过数据分析优化了 XX 流程，成果被 XX 期刊收录。”
- 实践 / 职业素养：
- 实习 / 工作经历中的职责、成就（用数据量化）、团队协作、领导力等。
- 例：“作为 XX 公司实习分析师，他独立完成 XX 项目的市场调研，撰写的报告为公司节省了 15% 的采购成本，并被纳入年度战略方案。”
- 匹配度与潜力：
- 结合目标院校 / 专业的特点，说明申请人为何适合（如技能、兴趣、职业规划的契合度）。
- 例：“XX 大学的 XX 专业注重跨学科创新，而 XXX 在本科期间主导的‘XX 跨学科项目’恰好体现了他在 XX 领域的探索精神，与贵院培养方向高度匹配。”
结尾：总结推荐意见（“我郑重推荐 XXX 申请贵校 XX 专业，相信他能在学术和职业上取得优异成绩”）+ 愿意进一步沟通的意愿。
落款：推荐人签名、职务、单位、日期
二、就业推荐信（雇主 / 上司为员工撰写）
适用场景
用于向用人单位证明员工的工作表现、专业能力、职业操守等，帮助其求职或晋升。
结构与内容
标题：Employment Recommendation for [Employee’s Name]
开头：推荐人信息 + 员工在职时间、岗位
正文：
- 岗位职责与成就：
- 具体工作内容、核心业绩（用 STAR 法则：情境 - 任务 - 行动 - 结果）。
- 例：“作为 XX 部门软件工程师（2023.06-2025.03），他负责 XX 系统开发，主导优化了 XX 模块，使系统响应速度提升 30%，用户满意度从 75% 提升至 92%。”
- 核心能力：
- 专业技能（如编程、数据分析、语言能力）、软技能（沟通、抗压、领导力）。
- 例：“在 XX 跨国项目中，他协调中、美、德团队解决技术冲突，展现了出色的跨文化沟通能力和项目管理经验。”
- 职业素养：
- 责任心、学习能力、团队合作等（用具体事例支撑）。
- 例：“面对突发的 XX 技术难题，他主动加班钻研，3 天内提出解决方案，避免了项目延期风险，体现了极强的执行力和担当。”
结尾：推荐岗位匹配度 + 祝福语（“XXX 是我共事过的最具潜力的员工之一，非常适合贵公司 XX 岗位对 XX 技能和 XX 特质的要求，相信他能为团队创造价值。”）
落款：同上
三、写作注意事项
- 针对性：
- 留学推荐信：紧扣目标专业的培养方向（如学术研究型专业侧重科研能力，职业导向型专业侧重实践经验）。
- 就业推荐信：针对目标岗位的 JD（职位描述），突出匹配的技能和经历（如应聘数据分析岗，重点写数据处理、建模、可视化经验）。
- 具体化：
- 避免空泛评价（如 “工作认真”），用具体事例和数据支撑（如 “带领 5 人团队提前 2 周完成 XX 百万级项目，获公司年度最佳团队奖”）。
- 真实可信：
- 推荐人身份需合理（如授课教授、直属上司，避免无关人士），语气正式且客观，可适当体现个人风格（如学术推荐信偏严谨，就业推荐信偏务实）。
- 格式规范：
- 用单位 / 学校信笺纸（如有），注明推荐人联系方式（邮箱、电话），便于核查。
四、模板示例（留学推荐信）
plaintext
**Recommendation Letter**
From: Dr. Li Hua
Professor, Department of Computer Science
Peking University
Email: lihua@pku.edu.cn | Tel: +86-10-XXXXXXX
Date: May 8, 2025
To Whom It May Concern,
I am delighted to recommend Mr. Zhang Wei, a talented undergraduate student I have known since 2022 when he enrolled in my course “Advanced Machine Learning.” As his academic advisor and project supervisor, I have witnessed his outstanding intellectual curiosity, technical proficiency, and dedication to computer science, making him an ideal candidate for the Master’s Program in Data Science at Stanford University.
In my course, Zhang Wei ranked top 5% with a grade of 98/100. His final project, “AI-Powered Fraud Detection for E-Commerce,” utilized Python and TensorFlow to develop a model that reduced false positive rates by 25% compared to existing systems. This work was later presented at the XX Conference on Applied Data Science, showcasing his ability to translate theoretical knowledge into practical solutions.
Beyond academics, Zhang Wei interned at Alibaba Group as a Data Analyst in 2024. There, he led a cross-functional team to optimize user segmentation for the “Double 11” campaign, improving targeted marketing efficiency by 20% and contributing to a 15% increase in sales for three product categories. His ability to communicate complex technical insights to non-technical stakeholders, combined with his collaborative spirit, made him a valued asset to the team.
What distinguishes Zhang Wei is his relentless pursuit of innovation. In his senior thesis, he explored the application of federated learning in healthcare data privacy, a topic highly relevant to today’s interdisciplinary research. His critical thinking and passion for solving real-world problems align perfectly with Stanford’s emphasis on impactful research. I am confident that he will thrive in your rigorous academic environment and make meaningful contributions to your program.
Please feel free to contact me if you require further information. I wholeheartedly recommend Zhang Wei for admission and believe he will be a proud representative of your university.
Sincerely,
Dr. Li Hua
Professor of Computer Science
Peking University
To Whom It May Concern,
I am delighted to recommend Mr. Zhang Wei, a talented undergraduate student I have known since 2022 when he enrolled in my course “Advanced Machine Learning.” As his academic advisor and project supervisor, I have witnessed his outstanding intellectual curiosity, technical proficiency, and dedication to computer science, making him an ideal candidate for the Master’s Program in Data Science at Stanford University.
In my course, Zhang Wei ranked top 5
Beyond academics, Zhang Wei interned at Alibaba Group as a Data Analyst in 2024. There, he led a cross-functional team to optimize user segmentation for the “Double 11” campaign, improving targeted marketing efficiency by 20
What distinguishes Zhang Wei is his relentless pursuit of innovation. In his senior thesis, he explored the application of federated learning in healthcare data privacy, a topic highly relevant to today’s interdisciplinary research. His critical thinking and passion for solving real-world problems align perfectly with Stanford’s emphasis on impactful research. I am confident that he will thrive in your rigorous academic environment and make meaningful contributions to your program.
Please feel free to contact me if you require further information. I wholeheartedly recommend Zhang Wei for admission and believe he will be a proud representative of your university.
Sincerely, Dr. Li Hua Professor of Computer Science Peking University
根据实际情况调整内容，确保逻辑清晰、亮点突出，并用英文撰写（如申请海外院校）或中文（如国内求职）。如需进一步细化某个场景的模板，可补充说明！
