Institute for AI Industry Research (AIR), Tsinghua University, founded by world-class multi-media and AI scientist and entrepreneur Dr. Ya-Qin Zhang, is an applied research institute geared towards industrialization of AI technology in the 4th Industrial Revolution. Our mission is to apply AI to empower industrial and social advancement. By closing the gap of technology transfer between academia and industry, AIR tackles key technology bottlenecks, cultivates AI industrial leaders, and pushes the envelope of industry development.
Utilizing 5G, IoT, big data, deep learning, cloud computing and other cutting-edge technologies, and centering around such use cases as smart office, smart home, smart city, and industrial IoT, scholars at AIR will work on building a cloud-to-end smart operating system and platform architecture based on self-sensing, self-learning, self-adaption, and decision-making, explore how to use a human-device-service IoT information platform to seamlessly connect users, services and the industry. Conducting innovative theoretical research and tackling key AI technology bottlenecks, AIR aims to create a next-generation AIoT industry ecosystem and decision-making mechanism to empower the industry digitalization and upgrade and incubate new smart industries.
Job responsibilities:
Centering around such use cases as smart office, smart home, smart city, and industrial IoT, work on building a cloud-to-end smart operating system and platform architecture based on self-sensing, self-learning, self-adaption, and decision-making, carry out technological research and implementation of research results.
Speech/vision/NLP algorithms, neuromorphic computing, DBMS, knowledge graph, statistical models, and data analysis;
Ultra-low-power edge computing, edge analysis and edge intelligence, cyber security and system security, data security and privacy protection;
End-device data collection, smart sensing, autonomous decision-making and action, and large-scale system deployment.
Qualifications and requirements:
Candidates should be graduates from well-known universities with a degree in computer science, electronic information, automation, applied mathematics, pattern recognition and intelligence systems, artificial intelligence or other related majors;
Candidates should have at least three years of working experience at renowned research institutes, or leading companies, in related fields;
Candidates should have academic or industrial experience related to reinforcing the perception accuracy of machine learning with multimodal knowledge and building safe-computing-based edge intelligence systems, and be capable of coordinated software-hardware design for manufacturable AIoT products;
Candidates should be proficient in NLP/ML/DL models and algorithms (e.g. GBDT/MLP/CNN/RNN/LSTM/Transformer), and use reinforcement learning algorithms frequently;
Candidates should be skilled at one or more mainstream programming framework for deep learning (Caffe, TensorFlow, PyTorch, PaddlePaddle), and familiar with their underlying architecture and implementation mechanisms;
Candidates should have an ideal in scientific research, show extraordinary abilities in raising questions and solving problems when doing research, have good communication and teamwork abilities, and acknowledge the AIR culture.
Benefits:
An open and committed cultural atmosphere, and a chance to work with great minds;
Tsinghua research strengths coupled with top-tier enterprise resources, providing abundant data and scenarios for platform technology innovation;
Comprehensive and convenient mechanisms for research results conversion and project incubation;
Better work-life balance, and freer work environment.
Contact Us
Please send your resume toairhr@tsinghua.edu.cn.
