The Surveillance Systems Group ( https://www.ll.mit.edu/r-d/air-traffic-control/surveillance-systems ) conducts research, development, and evaluation of novel surveillance systems and state of the art integrated sensing and decision support architectures to support safe and efficient air and surface transportation. We are the world expert in airborne collision avoidance systems for aircraft ( https://www.ll.mit.edu/r-d/projects/airborne-collision-avoidance-system-x ) and are currently leading efforts to develop sensing, vehicle to vehicle communications, and decision making under uncertainty software to support the integration of increasingly autonomous systems, such as Uncrewed Aircraft Systems (UAS) and Advanced Air Mobility (AAM) platforms, into the national airspace. We have received several R&D 100 awards, and our team is composed of world-renowned researchers in the field of Artificial Intelligence and surveillance systems. Our team is focused on advancing autonomy and decision support to enable unprecedented changes for both and air and surface transportation. To support these efforts, we apply a broad base of analysis, modeling, optimization, and machine learning expertise to develop sensing and architectures and decision support software to ensure safe and efficient operation of autonomous systems across the broader transportation domain.

　　Job Description

　　We are looking for applicants with an interest and background in algorithm development, applied engineering, prototype development and testing, and modeling and simulation to support the development and implementation of safety critical systems that will enable the integration of increasingly autonomous systems into the transportation system. The candidate will develop and integrate machine learning algorithms to aid human operators in decision making or to fully automate safety critical systems in the transportation system. The candidate will work as part of a multidisciplinary hardware, software, and analysis team under the mentorship of a senior technical lead. Example problem areas include algorithm development and analysis for surveillance, tracking, and collision avoidance, and novel comprehensive system performance evaluation for vehicle separation and collision avoidance applications. Additionally, we are looking for applicants to develop new advanced decision support systems across the transportation domain. Activities will include algorithm development and assessment, modeling simulation, and data analysis. Successful candidates will develop the skills to analyze the operational problems in detail and to develop deployable solutions. Additional responsibilities may include participation in test planning and flight test operations, as well as analysis and presentation of data collected during field tests. The Surveillance Systems Group supports a hybrid work environment.

　　Requirements

　　Master’s degree in engineering, physics, Mathematics, or computer science OR a Bachelor’s degree in these fields, with three years of directly related experience.

　　Familiarity with machine learning, artificial intelligence, computer vision, and/or formal methods for planning

　　Experience and knowledge to develop, implement, test and evaluate novel academic and industry concepts.

　　Proficient at high-level prototyping software languages (e.g., Matlab, Python, Julia).

　　Ability to work in a team environment.

　　Strong analytical and critical thinking skills and ability to clearly communicate with a wide spectrum of audiences.

　　Desired qualifications:

　　Experience developing algorithms and mathematical models in a simulation and test environment.

　　Experience with probabilistic risk analysis and validation of learning based agents.

　　Familiarity with Transformers, RCNN, YOLO, GANs, Random Forests, and DNN.

　　Experience in other programming languages, such as C++ and Rust.

　　Understanding of and experience with software development processes, including source control and source peer review

　　Knowledge of the air, surface, or maritime transportation domain.

　　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 (https://hr.mit.edu/benefits) for more information. As an employee of MIT, you can also take advantage of other voluntary benefits, discounts and perks (https://hr.mit.edu/benefits/additional) .

　　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: [[id]]