One full-time Ph.D. Position in Biomedical Engineering at NeuralPC Lab, University of Rhode Island
The Neural Processing and Control Lab (NeuralPC Lab) at the University of Rhode Island (URI), Department of Electrical, Computer, and Biomedical Engineering (ECBE) has one Ph.D. position opening in the field of neural signal processing, machine learning algorithms towards developing cutting-edge brain-computer interface (BCI) systems. The position offers a competitive stipend and tuition waiver for the graduate assistants. The nature of this position will provide the graduate students with opportunities to work on multidisciplinary collaborative projects.
We are seeking highly motivated and talented graduate research students whose research interests lie at the intersection of neural signal processing and machine learning algorithms. Some of our current research projects are: Investigating functional neural dynamics underpinning auditory processing dysfunction through multiscale recording-stimulation frameworks, investigating electro-vascular neural patterns of motor and non-motor brain functions in patients with amyotrophic lateral sclerosis (ALS), developing hybrid BCI systems guided by personalized algorithms for patients with ALS, and developing graph-based data fusion frameworks towards guiding hybrid BCIs.
The successful candidates must have a master’s degree in electrical engineering or biomedical engineering, a background in neural engineering, signal processing, machine learning algorithms, and extensive programming experience with Matlab. Background in BCI and control systems, cognitive neuroscience and other programming languages such as C++ are desired but not mandatory.
The ECBE department offers programs in BS, MS, and Ph.D. degrees. URI’s College of Engineering offers innovative undergraduate and graduate programs with comprehensive doctoral research. The main campus is located in Kingston, an established, family-friendly, small community only five miles from Narragansett Bay and the Atlantic Ocean. Kingston lies in close proximity to popular tourist destinations, like Narragansett, Boston, and New York, yet still retains its small-town feel.
Applicants should submit a cover letter, resume, a brief summary of the current and proposed research, GRE, TOEFL/IELTS (for international students only), official/unofficial master and bachelor academic transcripts, and three letters of recommendation to Dr. Yalda Shahriari (Yalda_shahriari@uri.edu).
Please send all your documents as a single PDF file. Applications will be considered until the positions are filled.
Yalda Shahriari, Ph.D.
Department of Electrical, Computer & Biomedical Engineering, University of Rhode Island
Affiliate Member of University of California, San Francisco
Office: Room 393, Fascitelli Center for Advanced Engineering, 2 East Alumni Ave, Kingston, RI 02881