How to Apply
A cover letter is required for consideration for this position and should be attached as the first page of your resume. The cover letter should address your specific interest in the position and outline skills and experience that directly relate to this position.
EECS 351 Introduction to Digital Signal Processing Fall 2017
This is a course on DSP methods and applications. Sampling and reconstruction, difference equations, convolution, stability, z-transform, transfer function, frequency response, FIR and IIR, DTFT, DFT, FFT, windows, spectrogram, computer-aided filter design, correlation, multirate, basic image processing, discretetime wavelets, filter banks. Applications: filtering, denoising, deconvolution, classification, others.
Instructor will be responsible for preparing course materials, lecturing, holding office hours, preparing homework assignments, preparing and grading exams, and managing and grading class projects.
The instructor must demonstrate expertise in Digital Signal Processing methods and applications.
A PhD in a relevant area and prior teaching experience are preferred.
This position is posted for and limited to Fall term 2017 at 40% effort (16 hours per week).
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The University of Michigan has a storied legacy of commitment to Diversity, Equity and Inclusion (DEI). The Michigan Engineering component of the University’s comprehensive, five-year, DEI strategic plan—along with updates on our programs and resources dedicated to ensuring a welcoming, fair and inclusive environment—can be found at: http://www.engin.umich.edu/col
This position is covered under the collective bargaining agreement between the U-M and the Lecturers Employee Organization, AFL-CIO, which contains and settles all matters with respect to wages, benefits, hours and other terms and conditions of employment.