AAW/BMD Algorithm Developer and Analyst

Relevant Work Experience: 1+ to 2 Years Reference Code: 11358.1072 The Applied Physics Laboratory (APL) is a not-for-profit center for engineering, research and development. APL is a division of one of the world's premier research universities, Johns Hopkins. Our 399-acre campus, 20 miles north of Washington, DC, is home to 4,300 men and women. We recruit and hire the best and the brightest from top colleges, 68% of those hires are engineers and scientists. We work on more than 400 programs that protect our homeland and advance the nation's vision in research and space science, at an annual funding level of about $680M. The Laboratory has been a major asset to the nation since it was organized to help the war effort in 1942, four months after Pearl Harbor. We're proud of our heritage from those early days and the can-do attitude and spirit of dedication to the nation's welfare that is still a major element of our culture. AAW/BMD Algorithm Developer and Analyst Description:Description:Development and analysis of algorithms to support advanced concepts for sensor integration, object tracking, data fusion, and discrimination. Creation of models and simulations to explore the advanced concepts and development of data analysis tools/techniques to analyze simulated and live data.Duties:- Develop and analyze complex algorithms for sensor integration, object tracking, data fusion, and discrimination. - Develop models, simulations, and other analysis tools in support of these activities. Applicant should also be familiar with the use of modeling and simulation techniques and analysis of field test data to develop and validate technical approaches and algorithms.- Document results to sponsors. Interact with sponsors, contractors, and APL staff as appropriate to establish/maintain relationships. Participate in multi-organizational teams when necessary.Qualifications:Required:MS in engineering, physics, or equivalent experience. Relevant experience or course work in one or more of the following: radar systems, control systems, digital filtering, signal processing, stochastic processing, system identification or related areas. Excellent written and verbal communication skills. Experience with MATLAB or C++ development. Desired:PhD in engineering, physics, or equivalent experience. Demonstrated ability to cultivate strong relationships across organizational boundaries. Strong knowledge of Kalman Filters, Interacting Multiple Model Filters, Joint Optimal Assignment, or other advanced data fusion techniques. Proficient in the use of Object Oriented Design concepts and C++. Experience with NAVY PEO IWS and/or MDA programs.Salary/Benefits: Salary commensurate with experienceSecurity clearances are necessary for most positions. Holding U.S. citizenship is part of the requirements for obtaining a clearance.APL offers a comprehensive benefits package including a liberal vacation plan, a matching retirement program, significant educational assistance, a scholarship tuition program for staff with dependents, and competitive salaries commensurate with skills and experience. For more information about our organization, please visit our web site at www.jhuapl.edu Job Location: Laurel, MDJob Number: 11358Company URL: http://www.jhuapl.edu/Company Profile:The Johns Hopkins Applied Physics Laboratory (APL) is a national leader in scientific research and development, located midway between Baltimore and Washington, DC. Johns Hopkins University Applied Physics Laboratory is an equal opportunity/affirmative action employer that complies with Title IX of the Education Amendments Act of 1972, as well as other applicable laws, and values diversity in its workforce. To Apply via APL's Employment Website: * Make note of the Reference Code number for this job* Go to www.jhuapl.edu/employment click on "Search and apply" for current openings at APL. * On the Careers Homepage click on Advanced Search hyperlink* Enter the Reference Code number into Job Req# search box and click the Search button* Select job(s) and follow the instructions to complete the on-line application process.