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Tsinghua University
5.0
based on 1 Review
About Tsinghua University
Founded in--
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Websitetsinghua.edu.cn
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Tsinghua University Ratings
based on 1 reviews
Overall Rating
5.0/5
How AmbitionBox ratings work?
5
1
4
0
3
0
2
0
1
0
Category Ratings
5.0
Company culture
4.0
Salary
4.0
Promotions
3.0
Job security
3.0
Work-life balance
3.0
Skill development
3.0
Work satisfaction
Tsinghua University is rated 5.0 out of 5 stars on AmbitionBox, based on 1 company reviews. This rating reflects a generally positive employee experience, indicating satisfaction with the company’s work culture, benefits, and career growth opportunities. AmbitionBox gathers authentic employee reviews and ratings, making it a trusted platform for job seekers and employees in India.
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Compare Tsinghua University with Similar Companies
Change Company | Change Company | Change Company | ||
|---|---|---|---|---|
Overall Rating | 5.0/5 based on 1 reviews | 3.7/5 based on 91.8k reviews | 3.7/5 based on 54.2k reviews | 3.8/5 based on 57.9k reviews |
Highly Rated for | Company culture Salary Promotions | Job security Work-life balance | Job security | Job security |
Critically Rated for | Skill development Work-life balance Job security | Promotions Salary Work satisfaction | Promotions Salary | Promotions |
Primary Work Policy | - | Work from office 81% employees reported | Hybrid 62% employees reported | Hybrid 74% employees reported |
Rating by Women Employees | - no rating available | 3.7 Good rated by 26.6k women | 3.8 Good rated by 15.5k women | 3.8 Good rated by 21.8k women |
Rating by Men Employees | - no rating available | 3.6 Good rated by 60k men | 3.7 Good rated by 36.2k men | 3.8 Good rated by 33.5k men |
Job security | 3.0 Average | 4.5 Good | 3.8 Good | 3.8 Good |
View more
Tsinghua University Salaries
Tsinghua University salaries have received with an average score of 4.0 out of 5 by 1 employees.
Post Doctoral Research Fellow
(3 salaries)
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₹32.4 L/yr - ₹41.4 L/yr
Research Scientist
(2 salaries)
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₹5.4 L/yr - ₹6.9 L/yr
Accountant
(1 salaries)
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₹2.2 L/yr - ₹2.8 L/yr
Research Associate
(1 salaries)
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₹0.9 L/yr - ₹1.2 L/yr
Research Assistant
(1 salaries)
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₹14.4 L/yr - ₹18.4 L/yr
Tsinghua University News
ByteDance Research Releases DAPO: A Fully Open-Sourced LLM Reinforcement Learning System at Scale
- ByteDance, Tsinghua University, and the University of Hong Kong have released DAPO, an open-source reinforcement learning system called Dynamic Sampling Policy Optimization for Large Language Models (LLMs).
- DAPO aims to enhance the reasoning abilities of LLMs and promote reproducibility by openly sharing algorithmic details, training procedures, and datasets.
- DAPO incorporates four core innovations: Clip-Higher, Dynamic Sampling, Token-level Policy Gradient Loss, and Overlong Reward Shaping.
- Experimental results demonstrate significant improvements with DAPO, achieving higher scores on the American Invitational Mathematics Examination (AIME) 2024 benchmark with half the training steps compared to previous methods.
Marktechpost | 19 Mar, 2025
Tsinghua University Researchers Unveil Energy Storage Strategy for Achieving Carbon-Neutral Power Systems in China
- Researchers at Tsinghua University have unveiled a comprehensive energy storage strategy aimed at achieving carbon-neutral power systems in China.
- The study emphasizes the crucial role of energy storage technologies in enabling carbon neutrality amidst climate change impacts.
- China is focusing on integrating electrical energy storage solutions to address the intermittency of renewable energy sources and ensure a stable power supply.
- The research team, led by Professor Qiang Zhang, evaluated various storage technologies for their economic viability and deployment feasibility.
- The study categorizes energy storage solutions based on their duration capabilities, ranging from ultrashort-term to ultralong-term applications.
- Lithium-ion batteries are identified as dominant for short-duration applications, while hydrogen storage shows promise for longer-term energy shifts.
- Economic analyses project significant cost reductions for storage technologies, positioning them as increasingly cost-effective solutions by 2030 and beyond.
- Regional deployment strategies consider geographical factors, with different regions favoring hybrid storage systems tailored to their unique resource availability.
- Policies recommended include research incentives, market mechanisms, and financial tools to accelerate the adoption of energy storage technologies.
- The study underscores the importance of workforce development to meet the evolving demands of the energy storage industry and support sustainable energy transitions.
Bioengineer | 12 Mar, 2025
Submit Your Research: 14th Asia-Pacific Conference on Transportation and the Environment (APTE 2025) Now Open for Papers!
- The 14th Asia-Pacific Conference on Transportation and the Environment (APTE 2025) will be held in Hangzhou, China from August 9 to 11, 2025.
- Hosted by Tsinghua University, the conference focuses on sustainable development in addressing transportation challenges amidst climate change and urbanization.
- The theme, 'Emerging Transportation Solutions for Building Efficient, Sustainable, Reliable, and Inclusive Transport Systems,' aligns with global discussions on environmentally friendly transportation practices.
- APTE 2025 aims to disseminate cutting-edge research, initiate discussions, and promote actionable strategies in transportation.
- The conference will cover topics such as smart transportation systems, inclusivity, future mobility, and transport equity.
- Researchers are encouraged to submit original manuscripts by March 15, 2025, following specific guidelines and a ten-page limit.
- Key dates include submission opening on November 15, 2024, reviews in April 2025, and early bird registration until June 8, 2025.
- APTE 2025 aims to influence global policy and practice by creating actionable insights in sustainable transportation.
- The conference welcomes diverse participants, including students and professionals, to engage in networking and collaboration opportunities.
- By facilitating informed dialogue, APTE 2025 seeks to impact urban development, environmental sustainability, and social equity within the transportation sector.
Bioengineer | 19 Feb, 2025
Ola: A State-of-the-Art Omni-Modal Understanding Model with Advanced Progressive Modality Alignment Strategy
- Large language models struggle to handle different data types in one model and fail to properly align information from various inputs.
- Researchers from Tsinghua University, Tencent Hunyuan Research, and S-Lab, NTU have proposed Ola, an Omni-modal model designed to understand and generate multiple data modalities including text, speech, images, videos, and audio.
- Ola employs a modular architecture with dedicated encoders for each modality, allowing a central Large Language Model (LLM) to interpret and generate responses across different modalities.
- Extensive evaluations demonstrated Ola's capabilities across multiple benchmarks, outperforming existing omni-modal models and achieving promising results in audio understanding.
Marktechpost | 18 Feb, 2025
Tsinghua University’s KTransformers enables full-powered DeepSeek-R1 with low-cost graphics card
- The KVCache.AI team from Tsinghua University, in partnership with APPROACHING.AI, has updated the KTransformers project, allowing users to run the full-powered DeepSeek-R1 and V3 671B version locally with a low-cost graphics card.
- The KTransformers project offers an affordable solution to running the full version of DeepSeek-R1 on standard hardware, bypassing the cost and downtime of official servers.
- KTransformers optimizes the deployment of large language models and enables the processing of long-context sequences using innovative techniques such as heterogeneous computing, advanced quantization, and sparse attention mechanisms.
- The KTransformers setup requires specific hardware prerequisites, including an Intel Xeon Gold 6454S CPU, an RTX 4090D GPU, and 1TB of server memory, to run the DeepSeek-R1 model locally at significantly lower costs compared to using high-end servers.
Technode | 17 Feb, 2025
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Tsinghua University FAQs
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Working at Tsinghua University comes with several advantages and disadvantages. It is highly rated for company culture, promotions / appraisal and salary & benefits. However, it is poorly rated for work satisfaction, work life balance and skill development, based on reviews on AmbitionBox.
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