实验室信息-国际合作与交流处

2026 Tsinghua University Global Research Program

Program Overview

Tsinghua University Global Research Program provides a 6+ week immersive research experience for outstanding international undergraduates and graduate students from top global universities, including those from Hong Kong, Macau, and Taiwan. Leveraging Tsinghua’s high-quality laboratories and faculty expertise, the program adopts a “Lab Immersion + Faculty Mentorship + University-Wide Platform” model to deliver advanced research training and academic exchange, fostering global collaboration and building an interdisciplinary, cross-cultural community of young researchers.

Program Highlights

Research-Intensive: Full engagement in hands-on laboratory research; no coursework for credit.

Faculty Mentorship: One-on-one guidance from Tsinghua faculty with tailored research plans.

Interdisciplinary Focus: Cutting-edge themes include Carbon Neutrality & Energy System Transformation, AI for Science and Intelligent Computing, Intelligent Manufacturing & Smart Systems, Life Sciences & Health Innovation, and Interdisciplinary Innovation & Global Collaboration.

Cross-Cultural Engagement: Integrated with Tsinghua’s summer school ecosystem, enabling authentic campus life and multicultural exposure.

Program Timeline

Program period: January 1 – November 30, 2026.

Minimum research time: 6 weeks per student. Specific dates are flexible and can be arranged with the host laboratory.

Program Fee

Tuition and application fees are waived. Participant is responsible for any other costs.

Eligibility

Must be a non-Mainland China citizen or non-permanent resident of Mainland China

Currently enrolled as a full-time undergraduate or graduate student at an overseas university (must have completed at least one year of undergraduate study before starting the program)

Minimum GPA of 3.0/4.0 or equivalent

Proficient in English (Chinese not required)

Strong motivation and interest in research

Application Process

Step 1 Contact a Faculty Mentor

Identify potential supervisors via the program website: https://is.tsinghua.edu.cn/GSS.htm.

Reach out via email with your CV and research proposal. After obtaining the mentor’s verbal agreement, the mentor should confirm your placement with the Office of International Affairs.

Step 2 Online Application

Submit the following via the application system: http://www.gss.tsinghua.edu.cn/

Curriculum Vitae (in English)

Research Proposal (500–1000 words, stating research interests and objectives)

Latest official academic transcript

Proof of English proficiency (e.g., TOEFL ≥78, IELTS ≥6.0, or Medium of Instruction Certificate)

Copy of passport information page (Your passport must be valid for at least six months beyond the program end date and have at least two consecutive blank pages.)

1–2 recommendation letters provided in English

Published papers, awards, or supplementary materials (if applicable)

Step 3 Important Dates

Application timeline: February 24- March 31, 2026

Admission results announced: April, 2026

Office of International Affairs, Tsinghua University

Address: Tsinghua University, Haidian District, Beijing, China

Email: tgm@tsinghua.edu.cn

Website: https://is.tsinghua.edu.cn/GSS.htm

Lab Information

• The laboratory of imaging and intelligent technology

Computational optics; Intravital mesoscopy; AI for Science; Optoelectronic computing

Web：https://media.au.tsinghua.edu.cn/

• Tsinghua AI for Medicine at Scale (AIMS) Laboratory

Our laboratory is centered on patient-centric medical AI, aiming to build trustworthy and clinically meaningful systems that directly improve patient outcomes. Our research integrates three complementary layers. At the ecosystem level, we design intelligent health systems that support longitudinal health management, personalized interventions, and patient empowerment. At the modeling level, we develop generalist medical decision-making models capable of transferring medical knowledge and clinical reasoning across specialties and care settings. At the foundation level, we advance next-generation medical imaging models based on weakly supervised and self-supervised representation learning to reduce reliance on costly annotations and ensure robustness and transferability in real-world environments. Together, these efforts aim to make high-quality medical AI broadly accessible and genuinely beneficial to every patient.

Web：https://zhouhy.org

• TREES-fuTuRE EcoSystems Lab

Ecosystem dynamics, intelligence, and ecohydrologic engineering design

E-mail:matteo@sz.tsinghua.edu.cn

Web：

• Lab for Living Bioelectronics-Tsinghua University

Our lab is interested in establishing seamless structural integration and functional signal coupling between bioelectronics and living tissues/animals, where challenges arise from their intrinsic distinction in physical, chemical, mechanical dimensions. To bridge the aforementioned gaps, development of cutting-edge bioelectronic toolsets (1) with tissue-scaffold-mimicking topology and rigidity, (2) capable of modulating or interrogating biological entities and variations in a spatiotemporally multiplexed, chronically stable, biologically specific and synergistic multimodal manner, is of utmost importance. Such bioelectronics will eventually lead to engineered cyborg systems as unprecedented platforms for drug screening or physiochemical investigation as well as implantable biostealthy circuits used for interpreting/altering how brain functions.

Web：http://daigroup.org

• The ShuGuang Lab (SGLab)

Supervisor: Prof. Shuguang Li

The ShuGuang Lab (SGLab) is directed by Prof. Shuguang Li at Tsinghua University, Beijing, China.

We are interested in developing Synthetic matter, Generative systems, and Lifelike robots. Current research topics include origami robotics, collective robotics, and soft robotics.

PhD, Master,Undergradute student as well as short-term researchers are all welcomed

Web：https://www.lisglab.com/

• The Learning & Neural Systems Group