We will have 2 positions for postdoctoral students in the areas of low-noise neuroelectronics and brain machine interfaces. For the neuroelectronics position, the candidate is preferred to have the credential of multiple tape outs in integrated (analog, mixed-signal, or SoC) circuits design. Additional experience in physiology, signal processing, programming, and system integration is a plus. For the brain machine interfaces position, the candidate is preferred to have previous experience in motor decoding, neural signal processing, and can communicate effectively with the patients. Additional experience in neuroscience, programming, embedded system, and bioinstrumentation is a plus. The successful candidates should be able to work as a team member in a cross-disciplinary research environment. Salary is commensurate with experience and qualification.
We will have 2 graduate assistant positions in the area of neuro-artificial intelligence and deep brain stimulation. For the neuro-artificial intelligence position, the student will participate in our ongoing HAPTIX project to develop neuroprosthetics for upper limb amputees. Prospective Ph.D. students should have a strong background in mathematics, programming, and machine learning. Additional experience in computational neuroscience, neurophysiology, and bioinstrumentation is a plus. The successful candidate will have the opportunity to collaborate with bioengineers, computer scientists, physiologists, and medical doctors through the HAPTIX clinical trial. For the deep brain stimulation position, the student will participate in our ongoing NIH project to conduct adaptive neural stimulation experiments and analyze the brain signals recorded from Parkinson’s disease patients. Prospective Ph.D. students should have a strong background in computational neuroscience, programming, bioinstrumentation, and neurophysiology experiments. The successful candidate will have the opportunity to collaborate with neurosurgeons, neurologists, bioengineers, and computer scientists through a human clinical trial sponsored by NIH.
Please note that you will need to be also admitted to the UMN Biomedical Engineering PhD program. Please check the requirement on our department website.
For current UMN Biomedical Engineering MS students interested in working with me on a Plan A or Plan B project, please directly contact Professor Yang (yang5029@umn.edu) with your interests and CV.
For undergraduate students who are interested in taking 1-3 semesters and doing research in our lab, please send any queries to Professor Yang. We have multiple positions in the areas of brain machine interfaces, deep brain stimulation, wearable electronics, and fMRI compatible neurotechnology for undergraduate students. Priority will be given to students who have taken the Bioinstrumentation (BMEn 3211) course.
If you are interested in clinical study at the intersection of neural engineering, signal processing, and clinical trial, there are opportunities to work with collaborators in neurology, neurosurgery, and physiology. Priority will be given to those who have experience in data collection and analysis and have excellent communication skills.
Interested candidates should contact Professor Yang. Email: yang5029@umn.edu.