- PhD in engineering, physics, Mathematics, or computer science or similar field; in lieu of a PhD, a Master's degree with four years of relevant experience will be considered.
- Experience with modern machine learning approaches and architectures
- Experience with Markov Decision Processes and reinforcement learning
- Publication record with conference and/or journal publications
- Experience with algorithmic software development in Python
- Ability to collaborate well as part of a team with good interpersonal skills
- Ability to effectively distill concepts and results to a wide audience
- Knowledge of the air or surface transportation domain
- Experience developing algorithms and/or mathematical models in a simulation environment.
- Experience in other programming languages such as C++, MATLAB, Julie, etc.
- Publications in (air) transportation related conferences/journals
- Experience leading a small team
- Experience with distributed computing and scalable machine learning frameworks such as Ray/RLLib
- Experience submitting research proposals
- 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
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Applied AI/ML Research Scientist - Lexington, United States - MIT Lincoln Laboratory
Description
The Surveillance Systems Group ) 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 crewed aircraft ) and are currently leading efforts to develop sensing, vehicle to vehicle communications and machine learning based decision systems to support integration of Uncrewed Aircraft Systems (UAS) and Advanced Air Mobility (AAM) platforms into the US National Airspace System. Advances in autonomy and decision support will bring forth unprecedented changes to safety and efficiency for both air and surface transportation. To support these efforts, we apply a broad base of analysis, modeling, optimization and machine learning to develop sensing architectures and decision support tools 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 applied engineering, modeling and simulation and machine learning to support the development of algorithms and systems for autonomous and semi-autonomous vehicles. Additionally, we are looking for applicants to develop new advanced decision support systems as well as architectures and techniques for developing and deploying semi-autonomous systems in the broader transportation domain. Example problem areas include algorithm development for collision avoidance logic, real time contingency management, and validation of decision support, surveillance and tracking systems. Successful candidates will develop the skills to analyze the operational problems in detail and to develop deployable solutions, while extending our impact to other area of the transportation domain. The candidate should be familiar with formulating problems as Markov Decision Processes and developing solutions using modern machine learning approaches such as reinforcement learning. Additional responsibilities include leading and developing applied research and development programs in the transportation domain, formulating new approaches to existing challenges and publishing results in conference/journals The Surveillance Systems Group supports a hybrid work environment.
Requirements
Desired qualifications:
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:
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: 40805
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