Research Intern for ML group in Time Series Direction

Position Title: Research Intern for ML group in Time Series Direction Job Type: Full-time Intern Number of Openings: 2-4 Location: Beijing/Shanghai Group Introduction: The Machine Learning Group at Microsoft Research Asia drives the frontier of machine learning across theory, algorithms, and applications. Our interests span deep learning, reinforcement learning, graph learning, pre-training, learning theory, and more. We also actively explore how AI can create value in industry, empowering traditional sectors. Job Responsibilities:
  1. Conduct research and drive innovation in advanced time series algorithms and models, including foundational time series models and generative time series models;
  2. Explore the integration of large models with time series data, including multi-modal data, LLMs, agents, and reasoning capabilities;
  3. Investigate the application of time series methods in domains such as healthcare and finance through academic and experimental research;
  4. Publish high-quality research papers, open-source core algorithms, and contribute to advancing the academic frontier of time series research.
Qualifications:
  1. Strong foundation in mathematics, with solid knowledge of machine learning and deep learning;
  2. Proficient programming skills with the ability to implement and train models independently;
  3. Prior research experience and publications in top-tier conferences are highly preferred.
Internship Duration Requirements: Must obtain permission from your academic advisor and commit to at least three months of internship. Please be sure to download and complete the application form (Application form link: https://aka.ms/InternApplication (opens in new tab) ) and send it along with a complete English and Chinese resume (in PDF/Word format) to: [email protected] & [email protected]. Please include “Research Intern for ML group in Time Series Direction” in the email subject line.   岗位名称：机器学习组大模型+时间序列研究实习生 工作性质：全职实习生 招聘人数：2-4人 工作地点：北京/上海 组别简介： 微软亚洲研究院机器学习组从理论、算法、应用等不同层面推动机器学习的前沿。我们的研究兴趣包含：深度学习、强化学习、图学习、预训练、学习理论等。同时，我们也在积极探索人工智能在产业应用中的价值，从而为传统工业赋能。 工作职责：
  1. 负责先进时间序列算法与模型的研究与创新，包括时序基础大模型、生成式时间序列模型等方向；
  2. 探索大模型在时间序列领域的应用，包括与多模态数据、LLM、智能体、推理能力等的结合；
  3. 推动相关算法在医疗健康、金融等实际场景中的科研落地与应用探索；
  4. 撰写高质量科研论文，开源核心算法，持续引领时间序列方向的学术前沿。
任职要求：
  1. 拥有扎实的数学基础，具备良好的机器学习与深度学习理论功底；
  2. 具备较强的编程能力，能够独立完成模型的实现与训练；
  3. 有相关研究经验及顶级学术会议论文发表者优先。
工作时间要求 能获得导师许可并保证至少三个月的实习。 请务必下载并填写申请表（申请表链接：https://aka.ms/InternApplication (opens in new tab) ）并将其与完整的中英文简历（PDF/Word形式）一同发送至：[email protected] & [email protected]，邮件标题中注明：机器学习组大模型+时间序列研究实习生。 了解更多“明日之星实习生计划”，请访问：微软亚洲研究院“明日之星”实习生项目 – Microsoft Research