Location: Lexington, MA
Research & Development (R&D) jobs involve the creation of new knowledge, products, or processes through innovation and rigorous investigation. These roles are often found in sectors like pharmaceuticals, technology, manufacturing, and academics. Key features include data analysis, experimental design, prototyping, and intellectual property management. R&D professionals are typically highly educated and possess a strong background in their field of expertise. The overarching goal of R&D jobs is to drive progress, improve existing offerings, and maintain competitive advantage through cutting-edge solutions and discoveries.
Research & Development (R&D) jobs are pivotal roles within companies or organizations focused on creating new products or improving existing ones through innovative processes. Individuals in these positions are tasked with exploring cutting-edge technologies, conducting experiments, and analyzing data to develop products that meet market needs or address specific challenges. A key feature of R&D jobs is the emphasis on creativity and problem-solving, as well as the ability to work in dynamic environments that are often at the forefront of technological advancement. R&D professionals must also be adaptable, persistent in the face of failure, and have a strong foundation in scientific or technical disciplines.
collision avoidance systems for crewed aircraft ( www. ll. mit. edu/r-d/projects/airborne-collision-avoidance-systems-x ) 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 Ph D in engineering, physics, Mathematics, or computer science or similar field; in lieu of a Ph D, 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 Desired qualifications: 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 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 Do D 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, interaction, interactionual orientation, gender identity, national origin, age, veteran status, disability status, or genetic information; U. S. citizenship is required. Requisition ID: 40805 #LI-CA1
intersect both domains. The Cyber Physical Systems Group tackles key problems in the convergence of cybersecurity and the physical world in an interdisciplinary research and development environment. We focus on developing new capabilities in the areas of cyber-physical techniques for the Do D, intelligence community, and federal agencies.
Key technology development thrusts include unconventional methods of system exploitation, testbed development and introspection, and gaining cyber intelligence from novel sensors and signal analysis techniques. The successful candidate will work with a multidisciplinary team as a Reverse Engineer and Vulnerability Researcher. You will engage with government
sponsors to identify national needs, and lead smart and innovative teams to deliver new technologies and capabilities to address those needs. The successful candidate should be interested in the inter-disciplinary nature of the cyber-physical problem space and be willing to develop new expertise in the pursuit of solving unconventional problems.
As a Reverse Engineer and Vulnerability Researcher, you will develop novel capabilities against cyber-physical systems. The scope of your work in cyber-physical research and development will include demonstrating and backssing unexpected attack vectors, emulating potential attacker behaviors and capabilities, and developing novel defensive techniques
for Do D and other government organizations. The operational convergence of cyber and RF domains, known as Cyber-RF, in particular offers exciting opportunities to innovate and create new cyber-physical technologies at the seam between computer security and electromagnetics.
Requirements Ph D in Computer Science, Electrical/Computer Engineering, Mathematics, Physics, or related discipline, or MS with 3+ years of experience, or BS and 5+ years of directly related experience will be considered Proficiency in hardware and/or software reverse-engineering and exploitation techniques, including common tools such as IDA Pro or Ghidra, dynamic analysis tools, and proficiency in high-level scripting languages such as Python Ability to lead a project or team Effective oral and written communication skills Ability to conduct limited domestic travel to Government and cleared defense contractor sites (post-Covid) Demonstrated capabilities in the following areas, while not required, are highly desired, and will be given special consideration: Proficiency with low-level embedded system programming language such as C Experience with uncommon architectures and embedded systems Thorough understanding of cybersecurity technical challenges especially as they relate to sensors, emitters, and controllers Experience with dynamic analysis and fuzzing Proficiency with software defined radios (SDRs), field-programmable gate arrays (FPGAs), and Linux development environments Familiarity with radio-frequency (RF) phenomenology, electronics, and unintended RF emissions Proficiency in Machine learning techniques/AI Experience in advancing the state-of-the-art in reverse-engineering and vulnerability backssment techniques Proficiency with side-channel or glitching attacks and similar techniques For Benefits Information, click http: //hrweb.
mit. edu/benefits Selected candidate will be subject to a pre-employment background investigation and must be able to obtain and maintain a Secret level Do D security clearance.
To safeguard our health and well-being, MIT Lincoln Laboratory requires COVID-19 vaccination for all employees. Individuals may request exemption from the vaccine requirement for medical or religious reason. 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, interaction, interactionual orientation, gender identity, national origin, age, veteran status, disability status, or genetic information; U.
S. citizenship is required. Requisition ID: 38961
extracting information from multimedia-based data (speech, text, image, and video). The group significantly expanded our mission set to include developing impactful ML technologies for cyber with the Nation’s top cyber organizations. We are creating counter-disinformation and counter-influence operations technologies, leveraging our expertise in deepfake, persona, and graph technologies.
At the forefront of basic and applied AI/ML, we shape emerging AI fields and are leading the Laboratory’s effort in AI Assurance across the Do D and Intelligence Community. Our work stresses the importance of developing and evaluating AI/ML technologies with operationally relevant metrics and datasets.
We are deeply connected to many operational communities and have substantial opportunities shoulder-to-shoulder with cyber warfighters and intelligence analysts. Through this experience, we emphasize transitioning AI/ML technologies to the Government for their use in operational environments on real, deployed, game-changing systems.
Our staff members program, architect, and develop ML methods; create speech, natural language processing, multimedia, cyber, and graph algorithms; and present results at premiere conferences. The AI Technology and Systems group is seeking motivated undergraduate and graduate students to assist with projects addressing a range of national needs with AI and
machine learning. Summer intern assignments may include research on state-of-the-art algorithms in signal processing, natural language processing, graph analytics, and/or adversarial AI applied to challenging, real-world problems.
The successful candidate will work in a team-oriented development environment. Learn more about what our team does here: www. ll. mit. edu/ai Job Description This summer opportunity is open to undergraduate and graduate-level candidates, including those in the process of earning a Bachelor’s, Master’s, or Ph. D. degree in a technical field such as Electrical or Computer Engineering, Computer Science, Statistics, Mathematics or a related field.
Experience in the following is required: Demonstrated ability to work independently or as part of team Experience with a high-level programming language such as Python, R, etc. Experience in one or more of the following is desired: Data analysis experience Experience applying machine learning techniques Experience with natural language processing, computer vision, and/or adversarial machine learning Demonstration of strong written and oral communication skills Selected candidate will be subject to a pre-employment background investigation and must be able to obtain and maintain a Secret level Do D 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, interaction, interactionual orientation, gender identity, national origin, age, veteran status, disability status, or genetic information; U. S. citizenship is required Requisition ID: 40498
