ML
Location:Lexington, MA, US
The Homeland Protection Systems Group works with U.S. Government agencies to develop, assess, and rapidly transition advanced technologies aimed at safeguarding the National Airspace and addressing emerging national security priorities in the homeland. The Group has successfully deployed innovative technology solutions addressing defense challenges for the National Airspace, population centers, and critical infrastructure. We specialize in comprehensive systems analysis, advanced technology development, and rapid prototyping. Leveraging our expertise in complex systems, algorithms, and hardware prototyping, our team of scientists, engineers, and technologists applies cutting-edge techniques in data analysis, predictive analytics, and systems engineering to solve complex Homeland Protection problems. Our mission is to deliver and deploy advanced technologies that strengthen national security in the homeland.
The Homeland Protection Systems Group is seeking highly motivated candidates who have a passion for solving challenging problems. As a Staff Scientist in our Group, your responsibilities will include implementing models based on first principles, developing an understanding of complex systems, and making recommendations to inform government leadership on the most challenging problems related to Homeland Protection. You will have the opportunity to work with an experienced, multi-disciplinary team of researchers and engineers to inform the technology designs for complex systems. Our recent areas of research include design recommendations for defense systems, multi-sensor fusion, vulnerability assessments, machine learning applications, and technology concept designs to address capability gaps for Homeland Protection. We research a wide variety of problem domains within our mission area, and are therefore looking for staff with an innate curiosity to solve diverse problems. We encourage engagement with the academic and government community at-large through publications and conference attendance. We collaborate with Groups across MIT Lincoln Laboratory to provide our team members with access to unique datasets, state-of-the-art resources, deep subject matter expertise, and challenging technical problems that will give you the opportunity to use your skills to make a real-world impact.
Qualifications: Doctorate in Physics, Engineering, Computer Science, Mathematics, Chemistry, Applied Mathematics, or related discipline. In lieu of a PhD, a Master’s degree and 5 years’ relevant experience will be considered
Requirements:
Desired Skills
For Benefits information, please visit https://hr.mit.edu/benefits
The selected candidate will be subject to a pre-employment background investigation and must be able to obtain and maintain a Secret level Department of Defense (DoD) security clearance.
Recent Graduate Hiring Range: $145,200 - $170,000
Experienced Hiring Range: $145,200 - $220,000
Disclaimer: MIT Lincoln Laboratory provides a typical hiring range as a good faith estimate of what we reasonably expect to offer for this position at the time of posting. The final salary offered to a selected candidate will depend on various factors, including-but not limited to-the scope and responsibilities of the role, the candidate’s experience, skills and education/training, internal equity considerations and applicable legal requirements. This range reflects base salary only and does not include additional forms of compensation or benefits.
At MIT Lincoln Laboratory, our exceptional career opportunities include many outstanding benefits to help you stay healthy, feel supported, and enjoy a fulfilling work-life balance. Benefits offered to employees include:Â
Please visit our Benefits page for more information. As an employee of MIT, you can also take advantage of other voluntary benefits, discounts and perks.
Selected candidate will be subject to a pre-employment background investigation and must be able to obtain and maintain a Secret level DoD security clearance.
MIT Lincoln Laboratory is an Equal Employment Opportunity (EEO) employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, veteran status, disability status, or genetic information; U.S. citizenship is required.
Requisition ID: 43117Â