Graduate Students

We are looking for motivated, reliable, and enthusiastic Master’s or Ph.D. students to be part of an on-going, multi-disciplinary team. Graduate students have the opportunity to work on several different projects in which the ultimate goal is to develop an advanced prosthetic system capable of providing sensory feedback and motor control for upper extremity amputees and assessing brain function. Depending on the project, techniques to be learned may include:

  • Electrode implantation
  • Peripheral nerve stimulation and recording
  • Electroencephalography (EEG)
  • Kinetic and motion analysis
  • Microscopy
  • Tissue preparation
  • Computer programming

Position 1

Status: Open

We are looking for a motivated, reliable, and enthusiastic Ph.D. candidate to be part of a multi-disciplinary team working to develop and test an advanced prosthetic system capable of providing sensory feedback and motor control for upper extremity amputees and assessing brain function. Chosen candidates will get an opportunity to work on one of several aspects of the project including experimental evaluation of sensory perception and sensorimotor performance using the developed novel prosthetic system development and evaluation of biomimetic sensory stimulation paradigms to elicit naturalistic sensation. assessment of brain function to understand the organization of somatosensory and motor maps in the human brain and its reorganization as the person learns to use the developed prosthetic system. During the course of the project, the doctoral candidate will acquire skills to evaluate a novel medical device in a clinical setting and also become familiar with FDA regulations for evaluating class III medical devices.

Ideal candidates shall have demonstrated expertise in the field of neural engineering/ neuroscience. Applicants should hold a BS degree in Biomedical/ Electrical engineering or related field. Amount of experience may vary with choice of aspect above, but in general, experience with psychophysical techniques, strong programming skills and a demonstrated affinity with quantitative data analysis (Matlab/Python) are highly desirable. Basic knowledge in computational or experimental neuroscience, and neuroimaging techniques (EEG, fMRI, fNIRS) is beneficial. Selected candidates will interact extensively with biomedical and electrical engineers from academia, neuroscientists, clinicians, industrial partners, other staff and students. Candidates must be able to demonstrate excellent communication skills and the ability to work as part of a team.

Please submit your CV detailing prior education, research and publications. Also include a cover letter detailing your motivation to pursue a PhD in Biomedical Engineering. Please send the above listed documents to ANS Director, Dr. Ranu Jung (rjung@fiu.edu).


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