Job Search You will be prompted to create an account when you apply for a position. Already have an account? Log in here. Position Type Staff 1 Locations Boston Main Campus 1 Categories Colleges College of Engineering 1 Research Associate Apply now Job no: 505995 Position Type: Staff Location: Boston Main Campus Categories: College of Engineering About Northeastern: Founded in 1898, Northeastern is a global research university and the recognized leader in experience-driven lifelong learning. Our world-renowned experiential approach empowers our students, faculty, alumni, and partners to create impact far beyond the confines of discipline, degree, and campus. Our locations—in Boston; Charlotte, North Carolina; London; Portland, Maine; San Francisco; Seattle; Silicon Valley; Toronto; Vancouver; and the Massachusetts communities of Burlington and Nahant—are nodes in our growing global university system. Through this network, we expand opportunities for flexible, student-centered learning and collaborative, solutions-focused research. Northeastern’s comprehensive array of undergraduate and graduate programs— in a variety of on-campus and online formats—lead to degrees through the doctorate in nine colleges and schools. Among these, we offer more than 195 multi-discipline majors and degrees designed to prepare students for purposeful lives and careers. About the Opportunity: The Bernard M. Gordon Center for Subsurface Sensing and Imaging Systems (Gordon-CenSSIS) is seeking a Research Associate. This is a part-time (20 hours/week) non-benefits eligible position. For more information: http://www.censsis.neu.edu/ Responsibilities: Performs basic research of a limited scope, primarily using existing theories and methods. Assists the supervisor in the interpretation of results and grants. Primary responsibility is ensuring that the research is complete. The appointment generally does not extend beyond two years. Qualifications: Must have a Master's Degree or equivalent; be able to undertake substantially full-time research or scholarship; work under the supervision of a senior scholar. Candidate will have deep knowledge of electromagnetic optimization algorithms for security applications, and be familiar with radar nearfield imaging and signal and image processing. It is expected that the candidate be proficient in high-level computer languages, including: Matlab, Mathematica, Python, and C++, and be familiar with the DICOS protocol. Must be able to analyze and interpret image processed data. Preferred Qualifications: n/a Salary Grade: 10 Additional Information: Northeastern University is an equal opportunity employer, seeking to recruit and support a broadly diverse community of faculty and staff. Northeastern values and celebrates diversity in all its forms and strives to foster an inclusive culture built on respect that affirms inter-group relations and builds cohesion. All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, religion, color, national origin, age, sex, sexual orientation, disability status, or any other characteristic protected by applicable law. To learn more about Northeastern University’s commitment and support of diversity and inclusion, please see www.northeastern.edu/diversity. Advertised: 01 Apr 2021 Eastern Daylight Time Applications close: Back to search results Apply now Refer a friend Share this: | More Send me jobs like these We will email you new jobs that match this search. Great, we can send you jobs like this, if this is your first time signing up, please check your inbox to confirm your subscription. The email address was invalid, please check for errors. You must agree to the privacy statement Subscribe Recaptcha Privacy agreement Search results Position Location Closes Research Associate Boston Main Campus Performs basic research of a limited scope, primarily using existing theories and methods. Expression of interest Loading... Current opportunities Position Location Closes Research Associate Boston Main Campus Performs basic research of a limited scope, primarily using existing theories and methods. Powered by PageUp