Open Positions

One full-time Ph.D. Position

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. 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: Uncovering the Multimodal Neural Correlates Underpinning Visual Hallucinations in Parkinson’s Disease ,Graph-Centric Exploration of Visuo-Spatial Motor Functions in Aging, and Investigating functional neural dynamics underpinning auditory processing dysfunction through multiscale recording-stimulation frameworks.

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 or Python. 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.

Postdoctoral Research Position

The Neural Processing and Control Lab (NeutralPC Lab) at the University of Rhode Island (URI), the Department of Electrical, Computer, and Biomedical Engineering (ECBE), is seeking a postdoctoral scholar in the field of neural signal processing and machine learning algorithms.

The focus of the position will be on the development of data fusion algorithms to decode multimodal neural responses including EEG and fNIRS. The candidate is expected to be involved in all aspects of this research including experimental design, data collection, method development, signal analysis and interpretation, manuscript preparation, and grant development. The candidate may also contribute to ongoing virtual reality (VR)-based brain-computer interface (BCI) projects and mentoring graduate and undergraduate students.      

Requirements:

Essential qualifications:

  • Expertise in machine learning/ A.I.
  • Excellent programming skills in Python or MATLAB
  • Deep understanding of biological signal processing of neurophysiological data ( EEG, fNIRS)
  • Must hold a PhD in related fields
  • Fluency in written and spoken English
  • Aptitude to collaborate with both technical and clinical collaborators

Non-essential but highly preferred skills:

  • Published work in Deep Learning architectures (stable diffusion, GAN, GCN, CNN)
  • Experience with Unity or Unreal Engine (C#/C++)
  • BCI2000 recording framework
  • fNIRS recording paradigm and procedure

Candidates without any demonstrations of proficiency in these areas will not be considered. In addition, the candidate should have excellent writing and communication skills as well as a strong work ethic.

About the Lab:

The NeuralPC Lab is located in The Fascitelli Center for Advanced Engineering one of the most technologically advanced facilities in the United States, featuring flexible spaces for interdisciplinary collaboration, and equipment essential to forward-looking research. This building is located on the main campus in Kingston, R.I. 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.    

How to apply:

Applicants should email a CV, a brief personal statement including research objectives, and contact information for two professional references to Dr. Yalda Shahriari (yalda_shahriari [at sign] uri dot edu). Review of applications will begin immediately and continue until the position is filled.