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parameters. Applicants must hold a PhD degree in Electrical/Electronics Engineering, telecommunications, or related field, with at least 3 years of research experience (not including the years to obtain
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years of experience, in Electrical Engineering, Telecommunications Engineering, or a closely related field. SDR Expertise: Strong hands-on experience with SDRs (USRP, RFSoC, or equivalent). FPGA
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community. Requirements: Education: B.Sc. with any level of experience, or M.Sc. with less than 5 years of experience, in Electrical Engineering, Telecommunications Engineering, or a closely related field
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such as achievable rates, coverage, and energy efficiency, as well as optimize relevant system parameters. Applicants must hold a PhD degree in Electrical/Electronics Engineering, telecommunications
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learning with no more than five years post receipt of this degree, in Electrical/Electronics Engineering, telecommunications, or related field. Other requirements include: Proven track record of publications
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Electrical, Mechanical, or Material Engineering (or related field) OR 3-5 years of industry experience (Research and Development). Significant experience in haptic technologies. Hands-on Lab Building and Rapid
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parameters. Applicants must hold a PhD degree or terminal degree from a recognized institution of higher learning with no more than five years post receipt of this degree, in Electrical/Electronics Engineering
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rehabilitation. The successful applicant will have the following technical experience in: PhD degree in Electrical, Mechanical, or Material Engineering (or related field) OR 3-5 years of industry experience
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, graduate students, and undergraduate students. Applicants must have a Ph.D. in Electrical Engineering, Physics, or a related field. For consideration, applicants need to submit a cover letter, curriculum
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, electrical/computer engineering, applied mathematics, computational biology, bioengineering, or a closely related discipline. Solid experience training and evaluating AI models. Proficiency in Python and ML