[教授本人]俄克拉荷马州立大学招收多名全奖PhD(deep learning,robotics和通信方向）
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美国俄克拉荷马州立大学(Oklahoma State University) Assistant Professor Dr. Huaxia Wang招收多名全奖资助博士研究生，入学时间为2023年春季或秋季。 研究方向是人工智能， robotics，和下一代通信系统（5G/6G) 方向。具体研究方向为：机器学习/深度学习算法研究(meta-learning, deep reinforcement learning), remote robotic-arm control, VR/AR, 无线通线及信号处理，以及人工智能算法在下一代无线通线系统中的应用等。Dr. Wang组毕业学生可以在Qualcomm/ Samsung/ Bell Labs/ Ericsson等从事下一代通信算法研发工作，以及在Google/ Apple/ Facebook/ Amazon等科技企业从事人工智能算法研究工作。
欢迎电子计算机等相关专业同学申请。请将简历，成绩单等发送至邮箱1point3acres.com. 详情请参考Dr. Wang个人主页https://sites.google.com/view/huaxia-wang
俄克拉荷马州立大学介绍：俄克拉荷马州立大学（Oklahoma State University）位于美国俄克拉荷马州静水市（Stillwater, OK），是一所美国著名的公立研究型大学(R1)。学校所在城市静水市，位于俄克拉荷马州中部。小城设施齐全，生活成本偏低，安全安逸。距离Tulsa和Oklahoma City (OKC)一个小时左右车程。
导师简介：Dr. Huaxia Wang于2018年获得美国Stevens Institute of Technology电子与计算机工程系博士学位。2020年一月起任俄克拉荷马州立大学助理教授。自入校以来，以PI身份申请获得接近$1M研究经费。除此之外，每学期系里长期分配2至3名全奖TA名额，学生无需担忧funding问题。
We are looking for multiple highly self-motivated Ph.D. students to work on the following topics (starting in Spring/Fall 2023):
; Deep learning and Machine learning research: meta-learning and deep reinforcement learning
; AI in wireless communications:
; Robotic-arm control (VR/AR)
; Wireless Communications and signal processing
About Dr. Huaxia Wang:
Dr. Wang is an Assistant Professor at the Oklahoma State University. His recent research interests include deep learning, machine learning, robotics, and AI in wireless communications applications. He received Ph.D. in Electrical Engineering from Stevens Institute of Technology, NJ, and B. Eng from Southeast University, China.
To apply, please send your CV to 1point3acres.com.
欢迎电子计算机等相关专业同学申请。请将简历，成绩单等发送至邮箱1point3acres.com. 详情请参考Dr. Wang个人主页https://sites.google.com/view/huaxia-wang
俄克拉荷马州立大学介绍：俄克拉荷马州立大学（Oklahoma State University）位于美国俄克拉荷马州静水市（Stillwater, OK），是一所美国著名的公立研究型大学(R1)。学校所在城市静水市，位于俄克拉荷马州中部。小城设施齐全，生活成本偏低，安全安逸。距离Tulsa和Oklahoma City (OKC)一个小时左右车程。
导师简介：Dr. Huaxia Wang于2018年获得美国Stevens Institute of Technology电子与计算机工程系博士学位。2020年一月起任俄克拉荷马州立大学助理教授。自入校以来，以PI身份申请获得接近$1M研究经费。除此之外，每学期系里长期分配2至3名全奖TA名额，学生无需担忧funding问题。
We are looking for multiple highly self-motivated Ph.D. students to work on the following topics (starting in Spring/Fall 2023):
; Deep learning and Machine learning research: meta-learning and deep reinforcement learning
; AI in wireless communications:
; Robotic-arm control (VR/AR)
; Wireless Communications and signal processing
About Dr. Huaxia Wang:
Dr. Wang is an Assistant Professor at the Oklahoma State University. His recent research interests include deep learning, machine learning, robotics, and AI in wireless communications applications. He received Ph.D. in Electrical Engineering from Stevens Institute of Technology, NJ, and B. Eng from Southeast University, China.
To apply, please send your CV to 1point3acres.com.
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