| 查看: 823 | 回复: 3 | |||
| 当前只显示满足指定条件的回帖，点击这里查看本话题的所有回帖 | |||
[交流]
Multiple Master/Ph.D. openings for Robotics Learning (Fall 2023 and Spring 2024)
|
|||
|
Multiple Master's and Ph.D. positions with full RA/TA support are available in Hongyu An's research group (https://sites.google.com/mtu.edu/hongyu). Hongyu is an assistant professor at the Electrical and Computer Engineering Department of Michigan Tech. His research interest mainly focuses on Neuromorphic Computing, Robotic learning, and Medical Applications. Neuromorphic computing (NC) is an emerging research topic that realizes artificial intelligence by emulating and building the human brain, including neurons, synapses, Spiking Neural Networks. This approach involves both hardware design and algorithm development, such as circuit design, FPGA, neural network algorithms, edge computing, etc. Recently, the group is applying NC on intelligent robotic and robotic learning. The project goal is to develop a self-learning robotic system that does not rely on massive datasets and can directly learn from constant interaction with surrounding environments. The group closely collaborates with top research groups/institutes, including Intel neuromorphic research lab (Loihi chips), Sandia National Labs, Oak Ridge National Labs, institute of neuroinformatic of ETH Zurich, on robotics, spiking neural networks, and medical applications. The group also has multiple ClearPath huskies jackal mobile robotics, emerging neuromorphic chips, Lidar, and other robotic sensors for our robot learning. Moreover, the group, as a neuromorphic community of intel labs, has the access to the Intel loihi neuromorphic chips, which are the top-tier neuromorphic computing platform in the market. The idea candidates are expected to have extensive experience on • Understanding ROS • Robotic sensors, e.g., Lidar, cameras, etc. • Basic understanding of deep learning, neural networks • Programming experience in one or more of the following languages: Python, C++, Java, etc. • Programming experience on deep learning platforms: Pytorch, TensorFlow, etc. • Ability to communicate effectively (both verbal and written) If interested, please send me your CV, transcript(s), GRE, TOEFL (international applicants only), and sample publications if applicable to the email address: hongyua@mtu.edu Other detailed requirements from the department/college can be found at https://www.mtu.edu/ece/graduate/electrical/ |
回复此楼» 猜你喜欢
284求调剂
已经有10人回复
-
一志愿山东大学药学学硕求调剂
已经有4人回复
-
07化学280分求调剂
已经有4人回复
-
298-一志愿中国农业大学-求调剂
已经有12人回复
-
求材料，环境专业调剂
已经有3人回复
-
335求调剂
已经有5人回复
-
求调剂
已经有7人回复
-
一志愿吉大化学322求调剂
已经有4人回复
-
环境学硕288求调剂
已经有8人回复
-
341求调剂(一志愿湖南大学070300)
已经有6人回复
| 顶一下。顶一下。顶一下 |
3楼2023-03-12 22:32:49
| 顶一下。顶一下。顶一下 |
2楼2023-02-11 21:54:47
| 顶一下。顶一下。顶一下 |
4楼2023-04-08 00:57:51
