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发帖数: 1 | 1 Description: Two fully funded Ph.D. student positions in Prof. Yuxiao Yang’
s group at the Department of ECE of the University of Central Florida (https
://www.ece.ucf.edu/) are available starting from Fall 2020. The research
will be focusing on developing next-generation closed-loop brain-machine
interfaces (BMIs) for control of brain states, such as neuropsychiatric
state (e.g., mood under depression) and unconsciousness under anesthesia.
The research is multidisciplinary and involves (1) closed-loop algorithmic
development using control theory, signal processing, and machine learning; (
2) experimental design with human electroencephalogram (EEG) and
transcranial magnetic stimulation (TMS); (3) validation of the algorithms in
real-time closed-loop experiments; (4) scientific discoveries on brain
functions and dysfunctions.
Highly self-motivated students with a strong background in signal processing
and control theory, machine learning (deep learning, coding experience with
TensorFlow, etc.), and neural signal processing (e.g., EEG and TMS) are
encouraged to apply. We will aim at publishing our research on high-profile
journals such as Nature Biomedical Engineering, Nature Communications and
Elife, top neural engineering journals such as Journal of Neural Engineering
and IEEE Transactions on Neural Systems & Rehabilitation Engineering, and
top conferences such as NeurIPS and EMBC.
More details about Dr. Yang’s research can be found at http://yuxiaoyang.org/, and the 2019 BCI award interview: https://www.gtec.at/2020/02/04/bci-award-2019-winner-closed-loop-bci-for-the-treatment-of-neuropsychiatric-disorders/
To apply, please send a CV with your undergraduate/graduate transcripts to
Dr. Yang (yuxiaoya AT usc DOT edu).
Short Bio: Dr. Yang is an assistant professor joining the Department of
Electrical and Computer Engineering (ECE) and the Disability, Aging and
Technology (DAT) Faculty Cluster in the University of Central Florida (UCF).
Before joining UCF, he was a postdoc at the Department of ECE, University
of Southern California (USC). He received the Ph.D. degree (2019) from USC
and the B.S. degree (2013) in Electrical Engineering from Tsinghua
University. His research interests include neural engineering, control and
estimation theory, and machine learning. He has published in high-profile
journals such as Nature Biotechnology https://www.nature.com/articles/nbt.
4200). He was a winner of the Annual Brain-Computer Interface (BCI) Award (
2019) and the EMBC Student Paper Award (2015).
Mentoring Philosophy: I will provide full support and guidance to my Ph.D.
students and help them achieve a successful career in both industry and
academia. I will create an inclusive and flexible lab environment and
balance hands-on and hands-off mentoring. I will provide detailed guidance,
especially during the early Ph.D. years. We will discuss and work out the
details of both theoretical and experimental work together, and the students
can expect a high research throughput with effective teamwork.
Why UCF ECE: Located in Orlando, ECE and UCF are at the center of Florida
High Tech Corridor with an excellent industrial base in telecommunications,
energy, computer systems, semiconductors, defense, space, lasers, simulation
, software and the world-renowned entertainment/theme park industry.
Exceptional weather, easy access to the seashore, one of the largest
convention centers in the nation and an international airport that is among
the world's best are just a few features that make the UCF/Orlando area
ideal. |
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