[CS/CE/EE] 纽约州立大学布法罗分校熊瑾珺教授招收2022年春季/秋季博士生和博士后若干

纽约州立大学布法罗分校(University at Buffalo) 计算机科学与工程系（CSE）熊瑾珺（Jinjun Xiong）教授招收2022春季或2022秋季博士生和博士后研究员若干名。
熊教授曾任 IBM 托马斯 J. 研究中心的项目总监和高级研究员，该中心是世界上最负盛名的工业研究实验室之一，在计算机科学、半导体、数学和材料方面拥有多项技术突破。熊教授的很多研究成果被IBM的企业产品和工具所采用。熊教授于纽约州立大学布法罗分校建立了X-Lab，致力于加速人工智能系统和解决方案。

主要科研方向为:

（1）[S/W] AI-augmented learning, sustainability and cybersecurity in cyber-physical systems
（2）[H/W] System optimizations for cloud and edge computing, including GPUS, FPGAs and quantum computing

更多详细信息请查看下方英文说明，或者访问实验室主页 (xlab-ub dot com) 了解相关科研信息。有兴趣的同学，请把您的简历 (包括毕业学校、班级排名，科研经历，相关成绩等信息) 发往：jinjun at buffalo dot edu.

[CS/CE/EE] The X-LAB@UB led by Professor Jinjun Xiong has multiple openings for Ph.D. and post-doctoral candidates for the Spring or Fall semesters of 2022. Candidates with interests in the following research areas are strongly encouraged to apply with UB’s CSE department by listing Dr. Xiong as the preferred advisor.

• [S/W] AI-augmented learning, sustainability and cybersecurity in cyber-physical systems
• [H/W] System optimizations for cloud and edge computing, including GPUS, FPGAs and quantum computing

About Dr. Jinjun Xiong: He is an Empire Innovation Professor at the Department of Computer Science and Engineering (CSE) in the University at Buffalo (UB). Prior to that, Dr. Xiong was a Program Director and Senior Researcher at the IBM Thomas J. Research Center, one of the most prestigious industrial research labs in the world with many technology breakthroughs in computer science, semiconductors, mathematics and materials. Many of Dr. Xiong’s research results have been adopted in IBM’s enterprise products and tools. He published more than 150 peer-reviewed papers in top AI conferences (NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR, ICCV etc) and systems conferences (MLSys, VLDB, ASPLOS, MICRO etc). His publication has won 7 Best Paper Awards and 8 Nominations for Best Paper Awards. He also won top awards from various international competitions, including the recent champion award for the IEEE GraphChallenge on accelerating sparse neural networks, and champion awards for the DAC'19 Systems Design Contest on designing an object detection neural network for edge FPGA and GPU devices.

About X-Lab@UB: Dr. Xiong established X-Lab@UB to accelerate AI systems and solutions through a curiosity-driven approach. His research expands the end-to-end stack of the software and hardware systems technologies, including solutions in AI-augmented learning, sustainability and smart grids (smart energy), mid-ware infrastructure for AI productivity, and AI hardware systems optimization and accelerations (such as GPUs, FPGAs and quantum computing) for cloud and edge computing. More details about Dr. Xiong’s research can be found at:  xlab-ub dot com With his expansive industrial research experience, Dr. Xiong is dedicated to growing next generation talents to conduct long-lasting impact research.
About University at Buffalo (UB): UB was founded in 1846 and is as one of the leading North American universities engaged in the highest levels of research. UB is also one of the 64 members of the most prestigious research institute group in the US, the Association of American Universities (AAU), which includes other members like Stanford, MIT, Harvard, UC-Berkely etc. UB is the number 1 public university in the State of New York.

About Department of Computer Science and Engineering (CSE) at UB: The CSE department has one of the most vibrant research environments in US with more than 50 research active faculty members. The department continues to grow aggressively under the university’s strategic vision. Mr. Li Yanhong (Robin Li), co-founder of Chinese search engine Baidu.com, is one of the accomplished alumni from UB CSE.

持续招生中。