The Jiangsu Provincial Key Laboratory Of Linguistic Computing And Application Joint Training Program

In order to bring together outstanding talents in the field of cross-modal general language computing intelligence and strengthen collaborative innovation among industry, academia and research, the Jiangsu Provincial Key Laboratory of Language Computing and Applications, led by Spirit Technology Co., Ltd. and jointly established by Shanghai Jiao Tong University and Soochow University, is now launching joint graduate training, undergraduate and postdoctoral talent recruitment globally, and sincerely invites young scholars who are interested in cutting-edge AI research and engineering to join.

Laboratory introduction

The Jiangsu Provincial Key Laboratory of Language Computing and Application (hereinafter referred to as the “Lab”) is led by Spirit Technology Co., Ltd. and jointly established by Shanghai Jiao Tong University and Suzhou University. It is an important strategic scientific and technological force in Jiangsu Province in the field of general artificial intelligence. Relying on SPEED's industrial platform, the laboratory brings together the top scientific research resources of Shanghai Jiao Tong University and Soochow University to form an innovation community with deep integration of "industry, academia, research and application". It focuses on the core technology of language computing and integrates basic theory, key algorithms, and full-chain innovation of industrial implementation.

The laboratory is directed by Professor Yu Kai, and academician Zhang Bo of the Chinese Academy of Sciences heads the academic committee. Facing the major strategic needs of the country and Jiangsu Province, the laboratory adheres to the cross-modal general intelligence direction of "reliability first" and focuses on key technologies such as trusted speech and multi-modal perception, cross-modal language large models, and efficient collaboration between agents and human-machine. It creates a large model base in the field that is energy-efficient, interpretable, and highly reliable, and forms an intelligent system and overall solution for large-scale implementation. It cultivates high-end general artificial intelligence talents and supports the leapfrog improvement of the competitiveness of Jiangsu Province's artificial intelligence industry.

Laboratory manager

Yu Kai, co-founder and chief scientist of SPEED, is a distinguished professor at Shanghai Jiao Tong University, received a bachelor's and master's degree from Tsinghua University, and a PhD from Cambridge University. Selected into the National Major Talent Project, National Natural Science Foundation of China Outstanding Youth, Shanghai “Oriental Scholar” Distinguished Professor. Director of the Conference Board and Membership Board of the IEEE Signal Processing Society, member of the IEEE Speech and Language Processing Technical Committee (2017-2019), distinguished member of the China Computer Federation (CCF), director of the CCF Speech Dialogue Hearing Professional Committee, the first standing committee member of the Large Model Forum, leader of the academic and intellectual property group of the China Artificial Intelligence Industry Development Alliance, and deputy leader of the technical working group of the China Speech Industry Alliance. He is a member of the Young Scientists Committee of the World Laureates Forum and a member of the User Interface Subcommittee of the National Beacon Committee. He was awarded the honor of ISCA Fellow in 2025 (the first inductee from mainland China) and was elected as a 2026 IEEE Fellow.

He has published more than 200 papers in international conference journals, and serves as chairman of the program committee of international conferences such as Inter Speech and ICMI, chairman of the National Conference on Human-Computer Speech Communication, and chairman of the dialogue interaction field of international conferences such as ACL, NAACL, and EMNLP. He has won multiple outstanding paper awards from authoritative international journals and conferences, as well as multiple champions in international public research evaluation competitions. He has won the Wu Wenjun Artificial Intelligence Science Progress Award of the China Artificial Intelligence Society, the Green Bamboo Award of the China Computer Society, and the Person of the Year from "Scientific Chinese".

Core research directions

 Speech and multi-modal perception: multi-lingual speech recognition, multi-task audio processing, emotionally rich speech generation, multi-speaker audio processing, multi-modal collaborative perception.

 Multimodality and language cognition: multi-channel spatial audio understanding, large language model credibility and task planning, distributed large model reasoning, semantic communication and multi-agent collaboration.

 Audio signal analysis and processing: speech enhancement and separation, speech microphone array, acoustic event analysis and retrieval, auditory signal processing, audio watermarking and counterfeiting.

 High-performance computing and intelligent engineering: high-performance model kernel engineering, general large model training and inference optimization, cloud-edge-device collaborative large model inference, big data and recommendation systems.

Recruitment target

In order to deepen the collaboration between industry, academia and research, the laboratory is now recruiting students from around the world for joint training:

1. Postgraduate joint training:

Master/PhD candidates in computer, artificial intelligence, software engineering, electronic information, physics and other related majors.

2. Undergraduate students:

Sophomore/junior year student, ranking in the top 30% in academic performance, with solid programming foundation; preference will be given to those with experience in programming and algorithm competitions.

3. Postdoctoral fellow:

Obtained a PhD in the past 3 years, with research interests in NLP, speech, multi-modality and other related fields.

Training mechanism and resource support

Dual tutor system: joint guidance from senior experts from enterprises + senior professors from national platforms/provincial key laboratories.

Resume delivery

Recruitment details and resume submission: