The Tactical Edge Communications Group develops and demonstrates new algorithms, architectures, and hardware implementations for processing signals for a broad range of RF system applications, including advanced wireless communications and signals intelligence. The group's core competencies include developing algorithms and system concepts for communication, signal detection, localization, and classification in challenging environments, as well as hardware implementations and prototypes of these advanced RF systems. The group has expertise in adaptive antenna array processing, signal detection and estimation, statistical inference, pattern recognition, multichannel communications, wideband sampling techniques, antenna and RF subsystem design, and systems analysis. The group is applying machine learning techniques to spectrum operations problems. The group is also interested in exploring methods for (distributed) control and monitoring of networked control systems, with applications specific to RF communication systems. The staff members have advanced degrees in electrical engineering, physics, and applied mathematics. To support concept development and evaluation, the group conducts a significant amount of field tests and data collection campaigns, and collaborates with other groups within the division and throughout the Laboratory in real-time prototype implementation, experiment execution, and systems analysis.

The Position:

The Group is seeking creative and enthusiastic candidates to test, integrate, and demonstrate novel RF system approaches in hardware and real-time software in lab, vehicle, and flight environments.  Staff in this Position typically assume, or quickly grow into, roles where they are leading one or more aspects of large system integration and testing efforts.  

Day to Day Activities Include: Software and hardware prototyping and test activities Test documentation and planning Oversight of lab environment setup and configuration Participation in field experimentation, lab and field data collection, and post-experiment analysis.  Required Skills: M.S. in Engineering, Computer Science, Physics, Mathematics, Computer Science, or related field Experience with common RF and digital test equipment (oscilloscope, spectrum analyzer, signal generator, etc…) Exposure to and/or coursework in software development and scripting (e.g. Python, Matlab, etc…) Exposure to test planning and execution of field experiments Highly effective written and verbal communication skills Ability to work effectively in a team and set priorities Strong problem-solving skills Preferred Skills: Experience with testing RF communications systems Experience in test planning and overseeing execution of field experiments Experience testing FPGA-based hardware designs and/or C++ software developed for real-time Linux operating systems

 

This position will include a mixture of on-site, travel, and remote work as needed to support integration and field events.

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: 

Comprehensive health, dental, and vision plans MIT-funded pension Matching 401K Paid leave (including vacation, sick, parental, military, etc.) Tuition reimbursement and continuing education programs Mentorship programs A range of work-life balance options ... and much more!  

 

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: 41608