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DSP Engineer Intern - Research (Fall 2010)
567 days ago 07.11.2010 10:08:01

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Transforming the hearing care

industryStarkey is a recognized world leader in high quality audio technology. We serve our customers by providing a broad range of hearing devices that meet a variety of hearing needs. Through unsurpassed customer service practices, we strive to bring a human touch to hearing healthcare. The Starkey Laboratories family of companies includes Audibel, Micro-Tech, Nu-Ear, and Starkey. Starkey is an Equal Opportunity Employer.

This position is responsible for providing signal processing support in the development and assessment of algorithms for hearing aid applications. This work will connect with the research topic of the students’ dissertation.

Performance of Duties
Work as a member of algorithm design team to design signal processing schemes that can be implemented with current hearing aid technology.

Write high-level simulations for proof of concept and exploration of algorithm behavior.

Communicate knowledgeably about algorithm.

Design and implement effective methods for evaluation of algorithms.

Explore computational efficiencies for algorithms.

Migrate algorithms to assembly code implementations that can be evaluated in real time.

Verify the performance of the real time algorithm

Provide proper documentation of work.

Produce scientific publications that result from research.

Benefits of employmentWe offer our full time associates a full benefits package that includes a generous Paid-Time-Off (PTO) plan, Profit Sharing, 401(k), Employee Stock Ownership Plan (ESOP), Health and Life Insurance, Short and Long Term Disability and Flexible Spending. What's more, we're committed to helping our associates attain their full potential through in-house and on-the-job training, and tuition reimbursement.

Education: Bachelor's degree in Electrical Engineering or related field required.

Proficiency in real-time DSP programming highly desirable.

Proficiency in C, C++, and Matlab required.

Good verbal and written communication skills required.

Familiarity with speech analysis, microphone array processing and audio classification algorithms highly desirable.

Research experience in hearing aids or cochlear implants highly desirable.

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