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Graduate Research Assistantship Positions in Biomedical Optical Imaging There are several research positions for graduate students , postdocs , and research engineers . We focus on noninvasive, quantitative functional and molecular optical imaging techniques for neuro-monitoring, cancer imaging, and therapy monitoring, as well as for monitoring of engineered 3D tissue constructs for regenerative medicine, drug delivery, and neural systems in preclinical and clinical settings. The position offers a stimulating work environment that integrates engineering and physics with medicine, neuroscience, and biology. The candidate will have a unique opportunity in both basic lab and translational research by collaborating with scientists and clinicians located close to the common infrastructure and collaborative institutes, including Medical and Research Centers on the Stony Brook campus and nearby New York City .
Sample Publications:
https://scholar.google.com/citations?hl=en&user=q4FqPgYAAAAJ&view_op=list_works&sortby=pubdate
Functional Brain Imaging : https://doi.org/10.1364/BOE.448135
https://www.mdpi.com/2076-3425/11/8/1093
http://onlinelibrary.wiley.com/doi/10.1002/jbio.201700165/abstract
https://www.osapublishing.org/boe/abstract.cfm?uri=boe-7-10-3871
Cancer Imaging and Therapy: https://www.nature.com/articles/s41598-017-15790-y
Molecular and Functional Mesoscopic Imaging : https://doi.org/10.1117/12.2546110
https://opg.optica.org/boe/fulltext.cfm?uri=boe-8-6-3045&id=366998
Photoacoustic Imaging of Microvasculature : https://www.mdpi.com/2304-6732/3/3/48
Qualifications: The qualified candidates should be highly motivated and enthusiastic with interests in optical imaging, biophotonics, and photoacoustic imaging. A strong background in one of the following fields is needed : Electrical Engineering, Mechanical Engineering, Biomedical Engineering, Optical Engineering, Physics, Computer Science , or related fields. At least one of the following skills is preferred.
Experience in optical, optomechanical, electro-optic systems, CCD cameras, LEDs, lasers, structured light illumination, spatial light modulators (DMD), and digital light projection (DLP). Experience in hardware control and signal acquisition using NI DAQ card, NI LabView, correlator board, photon counter and timer board, and FPGA. Experience in EE, ME, BME, and Physics concepts (digital signal processing, EM waves, ADC, and DAC). Experience in (tissue) optics, biomedical optics, functional near-infrared spectroscopy (FNIRS), EEG, diffuse reflectance spectroscopy, diffuse correlation spectroscopy, speckle imaging, diffuse optical tomography, endoscopy, and microscopy. Experience in Mechatronics, Robotics, Rehabilitation, Dynamics, Measurement and Control, Machine Intelligence, Human-Computer Interface Experience with Photoacoustic/US imaging. Strong programming skills with MATLAB for signal/image processing. Strong experience in deep learning, machine learning, and compressed sensing.
To Apply: Please email your CV and cover letter describing your background to:
Ulas Sunar, Ph.D.
SUNY Empire Innovation Associate Professor
Dept. of Biomedical Engineering, Stony Brook University
https://you.stonybrook.edu/boil/
ulas.sunar@stonybrook.edu
About Stony Brook:
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