MERL jobs in Cambridge, MA - 44 jobs

We seek a highly motivated intern to conduct original research in generative models for instructional video generation. We are interested in applications to various tasks such as video generation from text, images, and diagrams. The successful candidate will collaborate with MERL researchers to design and implement novel models, conduct experiments, and prepare results for publication. The candidate should be a PhD student (or recent graduate) in computer vision and machine learning with a strong publication record including at least one paper in a top-tier computer vision or machine learning venue such as CVPR, ECCV, ICCV, ICML, ICLR, NeurIPS, AAAI, or TPAMI. Strong programming skills, experience developing and implementing new models in deep learning platforms such as PyTorch, and broad knowledge of machine learning and deep learning methods are expected, including experience in the latest advances in video generation. Start date is flexible; duration should be at least 3 months. Required Specific Experience * Experience with video diffusion models, physics simulators, and large vision-and-language models * Experience developing and implementing new models in PyTorch * At least one paper in a top-tier computer vision or machine learning venue such as CVPR, ECCV, ICCV, ICML, ICLR, NeurIPS, AAAI, or TPAMI. * Ph.D. student in computer vision or a related field. The pay range for this internship position will be 6-8K per month. Mitsubishi Electric Research Labs, Inc. "MERL" provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, MERL complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. MERL expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Improper interference with the ability of MERLs employees to perform their job duties may result in discipline up to and including discharge. Working at MERL requires full authorization to work in the U.S and access to technology, software and other information that is subject to governmental access control restrictions, due to export controls. Employment is conditioned on continued full authorization to work in the U.S and the availability of government authorization for the release of these items, which might include without limitation, obtaining an export license or other documentation. MERL may delay commencement of employment, rescind an offer of employment, terminate employment, and/or modify job responsibilities, compensation, benefits, and/or access to MERL facilities and information systems, as MERL deems appropriate, to ensure practical compliance with applicable employment law and government access control restrictions. In addition to base pay, interns receive a relocation stipend, covered travel to and from MERL, and a monthly Charlie Card for local commuting. Interns are invited to participate in weekly social gatherings and professional development opportunities, including research talks by both internal and external speakers. Interns who meet the 90-day waiting period are also eligible for health insurance coverage. MERL provides immigration support for qualified candidates as needed. Employment is considered at-will, and the Company reserves the right to modify base salary or any other compensation program at any time, including for reasons related to individual performance, departmental or Company performance, and market conditions.

Riverside Overview Riverside Research is an independent National Security Nonprofit dedicated to research and development in the national interest. We provide high-end technical services, research and development, and prototype solutions to some of the country's most challenging technical problems. All Riverside Research opportunities require U.S. Citizenship. Position Overview We are seeking a dynamic and results-oriented Deputy Program Manager to provide Advisory and Assistance Services (A&AS) for advanced radar system programs while also driving business growth and financial accountability. You will be responsible for supporting the Government customer overseeing complex program lifecycles, managing multidisciplinary technical teams, and providing successful strategic guidance, technical leadership and program oversite . In addition, this role will play a critical part in business development and capture activities, shaping proposals, supporting cost estimating, and maintaining program profitability. This is a customer-facing leadership role requiring both strong radar domain expertise and the ability to translate technical solutions into executable, cost-effective programs. This role also includes direct supervisory responsibilities, providing leadership, mentorship, and performance oversight for technical and program staff. The ideal candidate is a self-starter with excellent communication skills, technical acumen, and a problem-solving mindset who thrives in fast-paced, mission-driven environments. Responsibilities Program & Technical Leadership Provide programmatic expertise and advice to government customers. Assisting the Government to lead end-to-end program execution for radar development, integration, test, and deployment.Serve as deputy to the Program Manager, leading day-to-day operations and acting as a key decision-maker in their absence. Act as primary interface with government and industry, ensuring alignment with technical and contractual requirements. Direct cross-functional teams to deliver high-quality solutions on schedule and within budget. Identify, track, and mitigate program risks while capitalizing on opportunities. Drive compliance with DoD acquisition policies, standards, and contractual obligations. Travel up to 25% Other duties as assigned Supervisory Responsibilities Supervise a multidisciplinary team of engineers, analysts, and program support staff. Conduct regular one-on-one meetings, performance reviews, and career development discussions. Provide coaching, feedback, and professional development opportunities to team members. Foster a culture of accountability, collaboration, and technical excellence. Manage staffing plans, resource allocation, and workload distribution to ensure project success. Ensure compliance with company policies, safety standards, and quality procedures. Business Development & Capture Identify, qualify, and capture new business opportunities within radar, sensor, and defense technology domains. Develop and execute strategic capture plans in coordination with business development and engineering teams. Lead proposal efforts, including solution development, pricing strategies, and customer engagement. Build and maintain relationships with customers, partners, and industry stakeholders. Support customer briefings, demonstrations, and technical interchange meetings to advance pursuit strategies. Financial & Cost Management Develop and manage program financial plans, including budgets, forecasts, and earned value reporting. Oversee preparation of cost estimates, Basis of Estimate (BOE) documentation, and pricing strategies for proposals. Monitor contract funding, expenditures, and margins; ensure accurate financial tracking and reporting. Partner with Finance and Accounting teams to assess performance, variances, and corrective actions. Support audits and customer financial reporting requirements. Qualifications Required Qualifications A minimum of 8 years of related experience with a Bachelors degree, 6 years with a Masters degree, a PhD with 3 years experience, and 3 years of experience leading teams in radar systems, defense, or aerospace programs. Active TS/SCI U.S. Government security clearance Proven record of managing complex DoD programs with direct customer engagement. Strong technical understanding of radar systems (RF, signal processing, integration, software). Demonstrated experience in cost management (EVM, forecasting, BOE preparation). Hands-on involvement in business development and capture activities. Exceptional communication, leadership, and negotiation skills. Experience with FAR/DFARS contracting processes and DoD acquisition lifecycle. Experience with Radar Modernization and Phased Array Technology Desired Qualifications PMP or DAU Program Management certification. Experience leading cross-functional technical teams in matrixed organizations. Provide programmatic expertise and advice to government customers in a variety of programs Background in proposal leadership for radar or electronic warfare systems. Strong record of customer relationship building and account growth. Experience in: Ballistic Missile Defense Ballistic Missile Technical Collections Space Based Radar Applications Space Situational Awareness Experience Whole Life Engineering Experience Global Comp 130,000 - 160,000 This represents the typical compensation range for this position based on experience, location and other factors. Closing Statement Riverside Research Institute is a not-for-profit, technology-oriented defense company, where service to our customers and support of our staff is our overall mission. Riverside is an affirmative action-equal opportunity employer and complies with all applicable federal, state, and local laws regarding recruitment and hiring. Riverside offers comprehensive compensation and benefit packages to our employees. Riverside bases its employment decisions solely on technical experience, qualifications and other job-related criteria related to our organizational purpose as a not-for-profit company, and without regard to race, color, religion, age, sex marital status, sexual orientation, national origin, physical or mental disability, veteran's status or any other status legally protected by applicable federal, state, and local law.

MERL is seeking an intern to work on data-driven estimation and control for spatiotemporal dynamical systems, with applications in indoor airflow optimization. The ideal candidate would be a PhD student in engineering, computer science, or related fields with a strong background in estimation, control, and dynamical systems theory. Preferred skills include knowledge of reinforcement learning, reduced-order modeling (ROM) and partial differential equations (PDEs). The intern will work closely with MERL researchers to develop novel algorithms, conduct numerical experiments, and prepare results for publication. The duration is expected to be at least 3 months with a flexible start date. The pay range for this internship position will be 6-8K per month. Mitsubishi Electric Research Labs, Inc. "MERL" provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, MERL complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. MERL expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Improper interference with the ability of MERLs employees to perform their job duties may result in discipline up to and including discharge. Working at MERL requires full authorization to work in the U.S and access to technology, software and other information that is subject to governmental access control restrictions, due to export controls. Employment is conditioned on continued full authorization to work in the U.S and the availability of government authorization for the release of these items, which might include without limitation, obtaining an export license or other documentation. MERL may delay commencement of employment, rescind an offer of employment, terminate employment, and/or modify job responsibilities, compensation, benefits, and/or access to MERL facilities and information systems, as MERL deems appropriate, to ensure practical compliance with applicable employment law and government access control restrictions. In addition to base pay, interns receive a relocation stipend, covered travel to and from MERL, and a monthly Charlie Card for local commuting. Interns are invited to participate in weekly social gatherings and professional development opportunities, including research talks by both internal and external speakers. Interns who meet the 90-day waiting period are also eligible for health insurance coverage. MERL provides immigration support for qualified candidates as needed. Employment is considered at-will, and the Company reserves the right to modify base salary or any other compensation program at any time, including for reasons related to individual performance, departmental or Company performance, and market conditions.

MERL is seeking a highly motivated and qualified intern to contribute to the next generation of adaptive human-robot interaction (HRI) technologies. This internship will focus on the development and validation of intelligent and collaborative robotic systems that seamlessly integrate with human partners, providing an opportunity to engage in cutting-edge research at the intersection of robotics, artificial intelligence, and human-centered automation. There are several research topics of interest, including robot learning from demonstrations, assistive teleoperation, shared autonomy, object handovers, and intent recognition. Applicants should be current Ph.D. students with strong expertise in robot learning and computer vision. The selected intern will collaborate closely with MERL researchers to design and implement novel algorithms, conduct experiments, and disseminate research findings through a top-tier conference. Start dates and internship durations are flexible. Interested candidates are encouraged to apply with an updated CV and a list of relevant publications. Required Specific Experience * Demonstrated experience in robot learning and computer vision for robotic applications, including diffusion policies, flow-matching methods, or Vision-Language-Action (VLA) models. The pay range for this internship position will be 6-8K per month. Mitsubishi Electric Research Labs, Inc. "MERL" provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, MERL complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. MERL expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Improper interference with the ability of MERLs employees to perform their job duties may result in discipline up to and including discharge. Working at MERL requires full authorization to work in the U.S and access to technology, software and other information that is subject to governmental access control restrictions, due to export controls. Employment is conditioned on continued full authorization to work in the U.S and the availability of government authorization for the release of these items, which might include without limitation, obtaining an export license or other documentation. MERL may delay commencement of employment, rescind an offer of employment, terminate employment, and/or modify job responsibilities, compensation, benefits, and/or access to MERL facilities and information systems, as MERL deems appropriate, to ensure practical compliance with applicable employment law and government access control restrictions. In addition to base pay, interns receive a relocation stipend, covered travel to and from MERL, and a monthly Charlie Card for local commuting. Interns are invited to participate in weekly social gatherings and professional development opportunities, including research talks by both internal and external speakers. Interns who meet the 90-day waiting period are also eligible for health insurance coverage. MERL provides immigration support for qualified candidates as needed. Employment is considered at-will, and the Company reserves the right to modify base salary or any other compensation program at any time, including for reasons related to individual performance, departmental or Company performance, and market conditions.

MERL is looking for a self-motivated intern to work on anomaly localization in industrial inspection setting using computer vision. The relevant topics in the scope include (but not limited to): cross-view image anomaly localization, how to train one model for multiple views and defect types, how to incorporate large foundation models in image anomaly localization, etc. The candidates with experiences of image anomaly localization in industrial inspection settings (e.g., MVTec-AD or VisA datasets) and usage of large foundation models are strongly preferred. The ideal candidate would be a PhD student with a strong background in computer vision and machine learning, and the candidate is expected to have published at least one paper in a top-tier computer vision, machine learning, or artificial intelligence venues, such as CVPR, ECCV, ICCV, ICML, ICLR, NeurIPS, or AAAI. Proficiency in Python programming and familiarity in at least one deep learning framework are necessary. The ideal candidate is required to collaborate with MERL researchers to develop algorithms and prepare manuscripts for scientific publications. The duration of the internship is ideally to be at least 3 months with a flexible start date. Required Specific Experience * Experience with Python, PyTorch, and large foundation models (e.g. CLIP, ALIGN, etc.). The pay range for this internship position will be 6-8K per month. Mitsubishi Electric Research Labs, Inc. "MERL" provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, MERL complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. MERL expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Improper interference with the ability of MERLs employees to perform their job duties may result in discipline up to and including discharge. Working at MERL requires full authorization to work in the U.S and access to technology, software and other information that is subject to governmental access control restrictions, due to export controls. Employment is conditioned on continued full authorization to work in the U.S and the availability of government authorization for the release of these items, which might include without limitation, obtaining an export license or other documentation. MERL may delay commencement of employment, rescind an offer of employment, terminate employment, and/or modify job responsibilities, compensation, benefits, and/or access to MERL facilities and information systems, as MERL deems appropriate, to ensure practical compliance with applicable employment law and government access control restrictions. In addition to base pay, interns receive a relocation stipend, covered travel to and from MERL, and a monthly Charlie Card for local commuting. Interns are invited to participate in weekly social gatherings and professional development opportunities, including research talks by both internal and external speakers. Interns who meet the 90-day waiting period are also eligible for health insurance coverage. MERL provides immigration support for qualified candidates as needed. Employment is considered at-will, and the Company reserves the right to modify base salary or any other compensation program at any time, including for reasons related to individual performance, departmental or Company performance, and market conditions.

MERL is looking for a self-motivated intern to research on problems related to complex physical reasoning using digital twins and large vision-and-language models (VLMs). An ideal intern would be a Ph.D. student with a strong background in computer vision, machine learning, and robotics, with broad experience in using state-of-the-art physics engines. The candidate must have a strong background in 3D computer vision and machine learning (specifically in robotics and reinforcement learning), operational knowledge in using VLMs and generative AI, and experience in solving physical reasoning problems. Prior experience training VLMs would be a strong plus. The intern is expected to collaborate with researchers from multiple teams at MERL to develop algorithms and prepare manuscripts for scientific publications. Required Specific Experience * Experience with state-of-the-art physics simulators (both differentiable and non-differentiable) * Experience in neuro-physical reasoning approaches * Experience in state-of-the-art large vision-and-language models and generative AI models * Enrolled in a PhD program * Strong track record of publications in top-tier computer vision and machine learning venues (such as CVPR, NeurIPS, etc.). The pay range for this internship position will be 6-8K per month. Mitsubishi Electric Research Labs, Inc. "MERL" provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, MERL complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. MERL expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Improper interference with the ability of MERLs employees to perform their job duties may result in discipline up to and including discharge. Working at MERL requires full authorization to work in the U.S and access to technology, software and other information that is subject to governmental access control restrictions, due to export controls. Employment is conditioned on continued full authorization to work in the U.S and the availability of government authorization for the release of these items, which might include without limitation, obtaining an export license or other documentation. MERL may delay commencement of employment, rescind an offer of employment, terminate employment, and/or modify job responsibilities, compensation, benefits, and/or access to MERL facilities and information systems, as MERL deems appropriate, to ensure practical compliance with applicable employment law and government access control restrictions. In addition to base pay, interns receive a relocation stipend, covered travel to and from MERL, and a monthly Charlie Card for local commuting. Interns are invited to participate in weekly social gatherings and professional development opportunities, including research talks by both internal and external speakers. Interns who meet the 90-day waiting period are also eligible for health insurance coverage. MERL provides immigration support for qualified candidates as needed. Employment is considered at-will, and the Company reserves the right to modify base salary or any other compensation program at any time, including for reasons related to individual performance, departmental or Company performance, and market conditions.

Job Description MERL is seeking a highly motivated and qualified intern to carry out research on UAV assisted IoT network methodology. The candidate is expected to develop innovative path planning technologies to support UAV swarm navigation in IoT network environments. The candidates should have knowledge of communication network technologies such as path planning and cooperative network operations. Knowledge of control technology and path management is a plus. Start date for this internship is flexible and the duration is about 3 months. Responsibilities for this position include: Re search on UAV assisted IoT networks Develop path planning technologies to support UAV coordination in IoT networks Simulate and analyze the performance of developed technology Qualifications for this position are: Junior and senior year Ph.D students The pay range for this internship position will be 6-8K per month. Mitsubishi Electric Research Labs, Inc. "MERL" provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, MERL complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. MERL expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Improper interference with the ability of MERL's employees to perform their job duties may result in discipline up to and including discharge. Working at MERL requires full authorization to work in the U.S and access to technology, software and other information that is subject to governmental access control restrictions, due to export controls. Employment is conditioned on continued full authorization to work in the U.S and the availability of government authorization for the release of these items, which might include without limitation, obtaining an export license or other documentation. MERL may delay commencement of employment, rescind an offer of employment, terminate employment, and/or modify job responsibilities, compensation, benefits, and/or access to MERL facilities and information systems, as MERL deems appropriate, to ensure practical compliance with applicable employment law and government access control restrictions. In addition to base pay, interns receive a relocation stipend, covered travel to and from MERL, and a monthly Charlie Card for local commuting. Interns are invited to participate in weekly social gatherings and professional development opportunities, including research talks by both internal and external speakers. Interns who meet the 90-day waiting period are also eligible for health insurance coverage. MERL provides immigration support for qualified candidates as needed. Employment is considered “at-will,” and the Company reserves the right to modify base salary or any other compensation program at any time, including for reasons related to individual performance, departmental or Company performance, and market conditions.

MERL is seeking a highly motivated intern to collaborate in the development decision making, planning and control for teams of heterogeneous robots (aerial, ground wheeled, legged etc.) in task such as inspection, monitoring and infrastructure repair. The ideal candidate is a PhD student with strong experience in planning and control of multi-agent systems, with background in advanced model-based (e.g., MPC) and learning-based (e.g., RL) methods. The results of the internship are expected to be published in top-tier conferences and/or journals. The internship will take place during Spring/Summer 2026 (exact dates are flexible) with an expected duration of 3-6 months. Please use your cover letter to explain how you meet the following requirements, preferably with links to papers, code repositories, etc., indicating your proficiency. Required Experience * Current enrollment in a PhD program in Mechanical, Electrical, Aerospace Engineering, Computer Science or related programs, with a focus on Robotics and/or Control Systems * Experience in as many as possible of: * Formal methods and set based methods (temporal logics, reachability, invariance) * Model predictive control (design, analysis, solvers) * Reinforcement learning for planning * Cooperative planning and control for multi-agent systems * Programming in Python or Matlab or Julia Additional Useful Experience * Knowledge of one or more physics simulators for robotics (e.g., MuJoco) * Experience with coverage control and pursuit-evasion problems * Programming in C/C++ or Simulink code generation The pay range for this internship position will be 6-8K per month. Mitsubishi Electric Research Labs, Inc. "MERL" provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, MERL complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. MERL expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Improper interference with the ability of MERLs employees to perform their job duties may result in discipline up to and including discharge. Working at MERL requires full authorization to work in the U.S and access to technology, software and other information that is subject to governmental access control restrictions, due to export controls. Employment is conditioned on continued full authorization to work in the U.S and the availability of government authorization for the release of these items, which might include without limitation, obtaining an export license or other documentation. MERL may delay commencement of employment, rescind an offer of employment, terminate employment, and/or modify job responsibilities, compensation, benefits, and/or access to MERL facilities and information systems, as MERL deems appropriate, to ensure practical compliance with applicable employment law and government access control restrictions. In addition to base pay, interns receive a relocation stipend, covered travel to and from MERL, and a monthly Charlie Card for local commuting. Interns are invited to participate in weekly social gatherings and professional development opportunities, including research talks by both internal and external speakers. Interns who meet the 90-day waiting period are also eligible for health insurance coverage. MERL provides immigration support for qualified candidates as needed. Employment is considered at-will, and the Company reserves the right to modify base salary or any other compensation program at any time, including for reasons related to individual performance, departmental or Company performance, and market conditions.

MERL is seeking a motivated graduate student to research methods for state and parameter estimation and optimization of large-scale systems for process applications. Representative applications include large vapor-compression cycles and other multiphysical systems for energy conversion that couple thermodynamic, fluid, and electrical domains. The ideal candidate would have a solid background in control and estimation, numerical methods, and optimization; strong programming skills and experience with Julia/Python/Matlab are also expected. Knowledge of the fundamental physics of thermofluid flows (e.g., thermodynamics, heat transfer, and fluid mechanics), nonlinear dynamics, or equation-oriented languages (Modelica, gPROMS) is a plus. The expected duration of this internship is 3 months. The pay range for this internship position will be 6-8K per month. Mitsubishi Electric Research Labs, Inc. "MERL" provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, MERL complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. MERL expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Improper interference with the ability of MERLs employees to perform their job duties may result in discipline up to and including discharge. Working at MERL requires full authorization to work in the U.S and access to technology, software and other information that is subject to governmental access control restrictions, due to export controls. Employment is conditioned on continued full authorization to work in the U.S and the availability of government authorization for the release of these items, which might include without limitation, obtaining an export license or other documentation. MERL may delay commencement of employment, rescind an offer of employment, terminate employment, and/or modify job responsibilities, compensation, benefits, and/or access to MERL facilities and information systems, as MERL deems appropriate, to ensure practical compliance with applicable employment law and government access control restrictions. In addition to base pay, interns receive a relocation stipend, covered travel to and from MERL, and a monthly Charlie Card for local commuting. Interns are invited to participate in weekly social gatherings and professional development opportunities, including research talks by both internal and external speakers. Interns who meet the 90-day waiting period are also eligible for health insurance coverage. MERL provides immigration support for qualified candidates as needed. Employment is considered at-will, and the Company reserves the right to modify base salary or any other compensation program at any time, including for reasons related to individual performance, departmental or Company performance, and market conditions.

Job Description MERL's OR group is seeking a talented individual to collaborate in an ongoing research into solving Mixed-Integer Quadratic Programs via continuous dual formations, e.g., co-positive programs. The ideal application will have: Experience with Mixed-Integer Programs (preferably all of: linear, nonlinear, nonconvex) Competence with related software packages such as Gurobi, CVX, PyOpt, etc. Fluency in python. A solid background in linear algebra, convex optimization, algorithm analysis, computational geometry. The internship will run 3-4 months and is available immediately; applicants with early 2026 availability will be given favorable consideration in hiring. The pay range for this internship position will be 6-8K per month. Mitsubishi Electric Research Labs, Inc. "MERL" provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, MERL complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. MERL expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Improper interference with the ability of MERL's employees to perform their job duties may result in discipline up to and including discharge. Working at MERL requires full authorization to work in the U.S and access to technology, software and other information that is subject to governmental access control restrictions, due to export controls. Employment is conditioned on continued full authorization to work in the U.S and the availability of government authorization for the release of these items, which might include without limitation, obtaining an export license or other documentation. MERL may delay commencement of employment, rescind an offer of employment, terminate employment, and/or modify job responsibilities, compensation, benefits, and/or access to MERL facilities and information systems, as MERL deems appropriate, to ensure practical compliance with applicable employment law and government access control restrictions. In addition to base pay, interns receive a relocation stipend, covered travel to and from MERL, and a monthly Charlie Card for local commuting. Interns are invited to participate in weekly social gatherings and professional development opportunities, including research talks by both internal and external speakers. Interns who meet the 90-day waiting period are also eligible for health insurance coverage. MERL provides immigration support for qualified candidates as needed. Employment is considered “at-will,” and the Company reserves the right to modify base salary or any other compensation program at any time, including for reasons related to individual performance, departmental or Company performance, and market conditions.

MERL is seeking a highly motivated and qualified individual to conduct research in differentiable constraint modeling and optimal control of high performance motion systems. The ideal candidate should have solid backgrounds in sensitivity analysis, reachability analysis, and optimal control. A proven record of publishing results in leading conferences/journals is necessary. Demonstrated experience of using dSPACE for real-time HIL experimentation is a plus. Ph.D. students in electrical engineering, control, and related areas are encouraged to apply. Start date for this internship is around summer 2026 and the duration is about 3 months. The pay range for this internship position will be 6-8K per month. Mitsubishi Electric Research Labs, Inc. "MERL" provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, MERL complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. MERL expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Improper interference with the ability of MERLs employees to perform their job duties may result in discipline up to and including discharge. Working at MERL requires full authorization to work in the U.S and access to technology, software and other information that is subject to governmental access control restrictions, due to export controls. Employment is conditioned on continued full authorization to work in the U.S and the availability of government authorization for the release of these items, which might include without limitation, obtaining an export license or other documentation. MERL may delay commencement of employment, rescind an offer of employment, terminate employment, and/or modify job responsibilities, compensation, benefits, and/or access to MERL facilities and information systems, as MERL deems appropriate, to ensure practical compliance with applicable employment law and government access control restrictions. In addition to base pay, interns receive a relocation stipend, covered travel to and from MERL, and a monthly Charlie Card for local commuting. Interns are invited to participate in weekly social gatherings and professional development opportunities, including research talks by both internal and external speakers. Interns who meet the 90-day waiting period are also eligible for health insurance coverage. MERL provides immigration support for qualified candidates as needed. Employment is considered at-will, and the Company reserves the right to modify base salary or any other compensation program at any time, including for reasons related to individual performance, departmental or Company performance, and market conditions.

Riverside Overview Riverside Research is an independent National Security Nonprofit dedicated to research and development in the national interest. We provide high-end technical services, research and development, and prototype solutions to some of the country's most challenging technical problems. All Riverside Research opportunities require U.S. Citizenship. Position Overview For better or worse, there is almost no facet of our modern world that works without a computer system. Virtually all of those computer systems rely on “systems software” to manage distinct tasks and bridge the gap between hardware and higher-level software. Whether it is an embedded system using tightly-coupled FPGA fabric to offload performance- or security-critical tasks or a server using a hypervisor to manage co-resident guests, there is low-level code making sure that higher-level code can see a sane and well-ordered world. That lower-level code is full of complexity as it works to bridge the gap from the realities of diverse hardware ISAs to higher-level abstractions. It is also foundational to the security story of all of our systems. At Riverside Research, the Secure and Resilient Systems group works to strengthen that code to provide our customers with secure foundations for their mission-critical software stacks. This is essential to getting ahead of the attacker rather than playing whack-a-mole with bug fixes. Riverside Research is seeking a mid-career systems software research scientist to support research and development of cutting-edge systems security technologies. As a key member of our Secure and Resilient Systems team, the research scientist will prototype new features in a variety of disciplines ranging from offensive cyber vulnerability and exploitation assessment to implementing new security features in any level of the software stack. Strong fundamentals in software development practices for large projects (version control, debugging techniques, etc) and an understanding of the system software stack and the software/hardware interface will be critical for efficiently designing and prototyping dramatic features that advance the state of the art in cybersecurity. The research scientist will contribute to a diverse team responsible for developing offensive and defensive security features. They will be expected to prototype and push both code and accompanying documentation/design documents. Additionally, they will engage in the research process by assisting the team to design solutions to new challenges, break big problems into subtasks, implement features, and evaluate the resulting prototypes. All members of our group are expected to develop the writing skills necessary to communicate their ideas and results to internal and external stakeholders. The research scientist should have experience in C/C++, at least one assembly language, Python, and, for bonus points, Rust. A good candidate should be able to explain why BOTH C and Rust are on this list and why Python is on this list. An ideal candidate for this position would have experience writing code that interacts directly hardware and be able to explain the challenges of working at the software/hardware interface and how they've overcome those challenges in the past. All Riverside Research opportunities require US citizenship. Responsibilities Help the group design innovative offensively driven security solutions to customer problems related to systems software Build new tools and/or capabilities in languages like C/C++, Python, Rust, Assembly, etc. Contribute to whitepapers and/or published papers that document innovative work performed. Document and communicate design decisions, technical challenges, and progress to technical program management Collaborate with team members on debugging programs, pair programming, reviewing papers/proposals, etc. Participate in relevant internal and customer meetings Qualifications Required: A minimum of 12 years of related experience with a bachelor's degree, 8 years with a master's degree, a PhD with 5 years' experience in related technical field, such as computer science, computer engineering, electrical engineering, or cybersecurity, or equivalent experience. Strong software development fundamentals for working inside a large project (e.g., submitting PRs, interacting with open-source communities and mailing lists, git branches/merges/rebasing, build systems, etc) Communication and creative skills to develop, prototype, benchmark, and document significant security features integrated into existing systems security technologies Proficiency in programming languages C/C++, Python, and Assembly (e.g., x86-64, ARM) Current Top Secret clearance Desired: MS or PhD degree in Computer Science or related field Strong grasp on the research process (e.g., reading & writing academic papers, ideation for inventing solutions to hard problems) Healthy balance between technical orientation and business acumen Ability to operate independently with limited supervision and feedback, and establish a solid working relationship with peers in the group and across Riverside Research Self-starter and ability to manage time and technical tasks independently without direct supervision Superior written and verbal communications skills Experience with both defensive and offensive cyber tools Familiarity with Rust or other cutting-edge system software languages and tools Global Comp $180,000 - $220,000 This represents the typical compensation range for this position based on experience, location and other factors. Closing Statement Riverside Research Institute is a not-for-profit, technology-oriented defense company, where service to our customers and support of our staff is our overall mission. Riverside is an affirmative action-equal opportunity employer and complies with all applicable federal, state, and local laws regarding recruitment and hiring. Riverside offers comprehensive compensation and benefit packages to our employees. Riverside bases its employment decisions solely on technical experience, qualifications and other job-related criteria related to our organizational purpose as a not-for-profit company, and without regard to race, color, religion, age, sex marital status, sexual orientation, national origin, physical or mental disability, veteran's status or any other status legally protected by applicable federal, state, and local law.

MERL is seeking a highly motivated graduate student to develop closed-loop planning methods for mobile robot teams in autonomous patrolling and persistent monitoring applications, subject to constraints (e.g., battery recharging and localization of unknown, dynamic targets). The intern will collaborate closely with MERL researchers to develop these methods by leveraging approaches for constrained trajectory optimization and multi-agent control. The internship is expected to produce results suitable for top-tier publications. The internship will start in Spring or Summer 2026 and last 36 months, depending on scope and progress. Please use your cover letter to explain how you meet the following requirements, preferably with links to papers, code repositories, or other evidence of proficiency. Required Specific Experience * Current enrollment in a PhD program in ME/EE/CS/AE, or related programs, with a focus on robotics and/or control systems and published 1-2 high quality conference/journal papers. * Experience in some of: trajectory optimization algorithms, control design with logical specifications, multi-agent control, and receding-horizon control. * Strong programming skills in Python and/or C/C++. The pay range for this internship position will be 6-8K per month. Mitsubishi Electric Research Labs, Inc. "MERL" provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, MERL complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. MERL expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Improper interference with the ability of MERLs employees to perform their job duties may result in discipline up to and including discharge. Working at MERL requires full authorization to work in the U.S and access to technology, software and other information that is subject to governmental access control restrictions, due to export controls. Employment is conditioned on continued full authorization to work in the U.S and the availability of government authorization for the release of these items, which might include without limitation, obtaining an export license or other documentation. MERL may delay commencement of employment, rescind an offer of employment, terminate employment, and/or modify job responsibilities, compensation, benefits, and/or access to MERL facilities and information systems, as MERL deems appropriate, to ensure practical compliance with applicable employment law and government access control restrictions. In addition to base pay, interns receive a relocation stipend, covered travel to and from MERL, and a monthly Charlie Card for local commuting. Interns are invited to participate in weekly social gatherings and professional development opportunities, including research talks by both internal and external speakers. Interns who meet the 90-day waiting period are also eligible for health insurance coverage. MERL provides immigration support for qualified candidates as needed. Employment is considered at-will, and the Company reserves the right to modify base salary or any other compensation program at any time, including for reasons related to individual performance, departmental or Company performance, and market conditions.

Job Description MERL is looking for a highly motivated intern to work on an original research project on audio-visual learning, with a focus on spatial audio, training models using limited labeled data. A strong background in computer vision, audio processing, and deep learning is required. Experience in audio-visual (multimodal) learning, weakly/self-supervised learning, Room Impulse Response (RIR) estimation, and large (vision-) language models is an added plus and will be valued. The successful candidate is expected to have published at least one paper in a top-tier computer vision or machine learning venue, such as CVPR, ECCV, ICCV, ICML, ICLR, NeurIPS, or AAAI, and possess solid programming skills in Python and popular deep learning frameworks such as Pytorch. The intern will collaborate with MERL researchers to develop and implement novel algorithms and prepare manuscripts for scientific publications. Successful applicants are typically graduate students on a Ph.D. track or recent Ph.D. graduates. Duration and start date are flexible, but the internship is expected to last for at least 3 months. Required Specific Experience Prior publications in top-tier computer vision and/or machine learning venues, such as CVPR, ECCV, ICCV, ICML, ICLR, NeurIPS, or AAAI. Knowledge of the latest self-supervised and weakly-supervised learning techniques. Experience with Large (Vision-) Language Models, Spatial audio processing techniques. Proficiency in scripting languages, such as Python, and deep learning frameworks such as PyTorch or Tensorflow. The pay range for this internship position will be $6-8K per month. Mitsubishi Electric Research Labs, Inc. "MERL" provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, MERL complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. MERL expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Improper interference with the ability of MERL's employees to perform their job duties may result in discipline up to and including discharge. Working at MERL requires full authorization to work in the U.S and access to technology, software and other information that is subject to governmental access control restrictions, due to export controls. Employment is conditioned on continued full authorization to work in the U.S and the availability of government authorization for the release of these items, which might include without limitation, obtaining an export license or other documentation. MERL may delay commencement of employment, rescind an offer of employment, terminate employment, and/or modify job responsibilities, compensation, benefits, and/or access to MERL facilities and information systems, as MERL deems appropriate, to ensure practical compliance with applicable employment law and government access control restrictions. In addition to base pay, interns receive a relocation stipend, covered travel to and from MERL, and a monthly Charlie Card for local commuting. Interns are invited to participate in weekly social gatherings and professional development opportunities, including research talks by both internal and external speakers. Interns who meet the 90-day waiting period are also eligible for health insurance coverage. MERL provides immigration support for qualified candidates as needed. Employment is considered “at-will,” and the Company reserves the right to modify base salary or any other compensation program at any time, including for reasons related to individual performance, departmental or Company performance, and market conditions.

Job Description [ with requirements here. ] MERL is seeking a highly motivated intern to conduct original research in estimating vital signs such as heart rate, heart rate variability, blood pressure, and blood oxygen level from video of a person. The successful candidate will use the latest methods in deep learning, computer vision, and signal processing to derive and implement new models, collect data, conduct experiments, and prepare results for publication, all in collaboration with MERL researchers. The candidate should be a Ph.D. student in computer vision with a strong publication record and experience in computer vision, signal processing, machine learning, and health monitoring. The successful candidate is expected to have published at least one paper in a top-tier computer vision or machine learning venue, such as CVPR, ECCV, ICCV, ICML, ICLR, NeurIPS, or AAAI, and possess strong programming skills in Python and Pytorch. Start date is flexible; duration should be at least 3 months. [ Enter specific requirements as bullets or delete this section. If included, also select optional section REQUIRED SPECIFIC EXPERIENCE from Apply Process below. ] Required Specific Experience Ph.D. student in computer vision or related field. Strong programming skills in Python and Pytorch. Published at least one paper in a top-tier computer vision or machine learning venue, such as CVPR, ECCV, ICCV, ICML, ICLR, NeurIPS, or AAAI. The pay range for this internship position will be 6-8K per month. Mitsubishi Electric Research Labs, Inc. "MERL" provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, MERL complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. MERL expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Improper interference with the ability of MERL's employees to perform their job duties may result in discipline up to and including discharge. Working at MERL requires full authorization to work in the U.S and access to technology, software and other information that is subject to governmental access control restrictions, due to export controls. Employment is conditioned on continued full authorization to work in the U.S and the availability of government authorization for the release of these items, which might include without limitation, obtaining an export license or other documentation. MERL may delay commencement of employment, rescind an offer of employment, terminate employment, and/or modify job responsibilities, compensation, benefits, and/or access to MERL facilities and information systems, as MERL deems appropriate, to ensure practical compliance with applicable employment law and government access control restrictions. In addition to base pay, interns receive a relocation stipend, covered travel to and from MERL, and a monthly Charlie Card for local commuting. Interns are invited to participate in weekly social gatherings and professional development opportunities, including research talks by both internal and external speakers. Interns who meet the 90-day waiting period are also eligible for health insurance coverage. MERL provides immigration support for qualified candidates as needed. Employment is considered “at-will,” and the Company reserves the right to modify base salary or any other compensation program at any time, including for reasons related to individual performance, departmental or Company performance, and market conditions.

Mitsubishi Electric Research Laboratories (MERL) invites qualified candidates to apply for the position of Research Scientist in the Multiphysical Systems Group. Current areas of interest include physics-based modeling and numerical simulation of thermofluid and mechatronic systems, control system design and development, nonlinear state estimation, and applications of machine learning. Successful candidates will be expected to perform original, relevant research in the areas of nonlinear state estimation and system inversion for complex multiphysical systems. The Multiphysical Systems Group at MERL conducts fundamental, academically-oriented research in model-based design and analysis of complex multiphysical systems, emphasizing thermofluid, electrical power, and mechatronic applications. Using state-of-the-art languages, we construct system-level dynamic models and use them to design new estimation and control algorithms, analyze dynamic behaviors, optimize product performance, and prototype new products and services that are enabled by these tools and methods. Current research interests include data-driven optimization and estimation for large-scale, nonlinear system models, development of next-generation tools for scientific computing, and design and analysis of robust nonlinear control and model predictive control. Specific areas of interest include state and parameter estimation for physics-based models comprised of hybrid (discrete and continuous state) nonlinear differential algebraic equations, particle filtering and ensemble estimation methods, variational methods for data assimilation and model inversion, and other cutting-edge estimation technologies. The successful candidate will bring an independent research agenda and a track record commensurate with experience and be capable of working within interdisciplinary R&D teams. Responsibilities for this position include: * Conducting innovative and relevant research on modelling, estimation and control for multiphysical systems * Developing and advancing a research agenda impacting the scientific community and company technology * Publishing results in leading technical journals and conferences, and drafting patent applications * Partnering with business units, corporate R&D, and academic groups in the execution of R&D projects * Transferring results and technology to Mitsubishi Electric corporate research laboratories Qualifications for this position are: * A Ph.D. or equivalent from an internationally recognized institution in mechanical engineering, chemical engineering, electrical engineering, applied mathematics, or other related fields, with a focus on estimation, control theory, and/or data assimilation * Extensive experience with physics-based modeling, simulation, and dynamic analysis of multiphysical systems * Expertise in thermofluid systems is preferred, but background in mechatronic or other systems will also be considered * Strong programming skills, in at least some of Julia, Modelica, C/C++, Python, and Matlab * A strong publication record in leading conferences and journals, consistent with experience * A record for independently proposing and executing research programs with academic impact * Strong teamwork, communication (oral and written), teaching, and listening skills The pay range for this position at the commencement of employment is expected to be between $135,000 and $170,000 per year. Actual base pay will depend on a variety of individualized factors, including job-related knowledge, skills, and experience. In addition to base salary, the total compensation package will include an annual performance-based bonus and a comprehensive benefits program encompassing medical, dental, and vision coverage; a generous 401(k) match; commuting and home office stipends and various paid time off programs (including vacation, sick time, personal and parental leave). Specific details regarding participation in these programs will be provided upon an offer of employment. Employment is considered at-will, and the Company reserves the right to modify base salary or any other compensation program at any time, including for reasons related to individual performance, departmental or Company performance, and market conditions. PRINCIPALS ONLY. No phone calls please. Mitsubishi Electric Research Laboratories, Inc. is an Equal Opportunity Employer. Mitsubishi Electric Research Labs, Inc. "MERL" provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, MERL complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. MERL expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Improper interference with the ability of MERL's employees to perform their job duties may result in discipline up to and including discharge. Working at MERL requires full authorization to work in the U.S and access to technology, software and other information that is subject to governmental access control restrictions, due to export controls. Employment is conditioned on continued full authorization to work in the U.S and the availability of government authorization for the release of these items, which might include without limitation, obtaining an export license or other documentation. MERL may delay commencement of employment, rescind an offer of employment, terminate employment, and/or modify job responsibilities, compensation, benefits, and/or access to MERL facilities and information systems, as MERL deems appropriate, to ensure practical compliance with applicable employment law and government access control restrictions.

MERL seeks a highly motivated intern for a summer internship focused on developing laboratory experiments for thermofluid systems based on vapor-compression cycles. The ideal candidate will have extensive hands-on experience building pumped fluid systems, working with high-pressure equipment, and specifying and integrating sensors such as thermocouples and pressure transducers with data acquisition systems. The intern will collaborate closely with MERL researchers to design, assemble, and validate experimental platforms, and this work is expected to lead to a submission to a top-tier conference. Start date and duration are flexible. Required Specific Experience * Current enrollment in a PhD program in Mechanical, Electrical, Chemical Engineering or related programs (exceptional M.S. candidates considered) * Extensive hands-on experience in designing and connecting sensors to data acquisition systems, designing instrumentation interfaces, and implementing reliable data-collection workflows is required. * Proficiency in Linux and C/C++ for data logging and visualization tools is essential; Python experience is a plus. The pay range for this internship position will be 6-8K per month. Mitsubishi Electric Research Labs, Inc. "MERL" provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, MERL complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. MERL expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Improper interference with the ability of MERLs employees to perform their job duties may result in discipline up to and including discharge. Working at MERL requires full authorization to work in the U.S and access to technology, software and other information that is subject to governmental access control restrictions, due to export controls. Employment is conditioned on continued full authorization to work in the U.S and the availability of government authorization for the release of these items, which might include without limitation, obtaining an export license or other documentation. MERL may delay commencement of employment, rescind an offer of employment, terminate employment, and/or modify job responsibilities, compensation, benefits, and/or access to MERL facilities and information systems, as MERL deems appropriate, to ensure practical compliance with applicable employment law and government access control restrictions. In addition to base pay, interns receive a relocation stipend, covered travel to and from MERL, and a monthly Charlie Card for local commuting. Interns are invited to participate in weekly social gatherings and professional development opportunities, including research talks by both internal and external speakers. Interns who meet the 90-day waiting period are also eligible for health insurance coverage. MERL provides immigration support for qualified candidates as needed. Employment is considered at-will, and the Company reserves the right to modify base salary or any other compensation program at any time, including for reasons related to individual performance, departmental or Company performance, and market conditions.

Riverside Overview Riverside Research is an independent National Security Nonprofit dedicated to research and development in the national interest. We provide high-end technical services, research and development, and prototype solutions to some of the country's most challenging technical problems. All Riverside Research opportunities require U.S. Citizenship Position Overview Riverside Research's Secure and Resilient Systems group is seeking a full-time researcher to support the low-level cybersecurity team in Boston, MA. This role offers the opportunity to work alongside a team of experienced computer scientists and cybersecurity professionals on cutting-edge technology initiatives. Full-time researchers will contribute to projects related to independent research and development (IRAD) as well as customer-funded contracts, with a strong focus on cyber and systems security. This role is ideal for early-career engineers or recent graduates interested in program analysis, automated testing, and/or systems engineering. Upon being hired, the researcher will work alongside experienced engineers to design, implement, and evaluate fuzzing and analysis tools for complex software and hardware environments. Responsibilities Support research and development tasks related to: Program/binary analysis and automated testing Software/hardware fuzzing, instrumentation and harnesses development Assist with systems-level engineering tasks including: Board bring-up and hardware interfacing Toolchain configuration and maintenance Build system development (CMake, Make, etc.) Low-level C/C++ software development for tooling, harnessing, and system integration Contribute to prototype evaluation, data collection, and experiment execution Document findings, develop reproducible workflows, and support deliverables Collaborate with senior researchers and engineers on exploratory R&D tasks Qualifications Bachelor's degree in Computer Science, Electrical/Computer Engineering, or related field Strong experience with C/C++ programming Familiarity with Linux development environments, toolchains, and debuggers Exposure to at least one of the following: Fuzzing (AFL, Vader Modular Fuzzer, lib Fuzzer, Honggfuzz, etc.) Program analysis or binary analysis (e.g. Ghidra, binwalk, angr etc.) Embedded systems or hardware bring up Ability to learn quickly and work independently in a research-oriented environment Python/bash scripting for tooling, automation, and data processing Curiosity and willingness to explore unfamiliar technical areas Strong debugging, reverse-engineering, or systems-level problem-solving skills Ability to work collaboratively and communicate effectively Global Comp 90,000 - 105,000 This represents the typical compensation range for this position based on experience, location and other factors. Closing Statement Riverside Research Institute is a not-for-profit, technology-oriented defense company, where service to our customers and support of our staff is our overall mission. Riverside is an affirmative action-equal opportunity employer and complies with all applicable federal, state, and local laws regarding recruitment and hiring. Riverside offers comprehensive compensation and benefit packages to our employees. Riverside bases its employment decisions solely on technical experience, qualifications and other job-related criteria related to our organizational purpose as a not-for-profit company, and without regard to race, color, religion, age, sex marital status, sexual orientation, national origin, physical or mental disability, veteran's status or any other status legally protected by applicable federal, state, and local law.

MERL is seeking a highly motivated and qualified individual to conduct research in the sample efficient safe reinforcement learning via the integration of model- and learning-based theories, with applications to ultra-high precision positioning systems. The ideal candidate should have solid backgrounds in dynamical systems, control theory and reinforcement learning, and strong coding skills. Prior experience on ultra-high precision motion control systems is a plus. Ph.D. students in learning and control are encouraged to apply. Start date for this internship is flexible and the duration is about 3 months. The pay range for this internship position will be 6-8K per month. Mitsubishi Electric Research Labs, Inc. "MERL" provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, MERL complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. MERL expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Improper interference with the ability of MERLs employees to perform their job duties may result in discipline up to and including discharge. Working at MERL requires full authorization to work in the U.S and access to technology, software and other information that is subject to governmental access control restrictions, due to export controls. Employment is conditioned on continued full authorization to work in the U.S and the availability of government authorization for the release of these items, which might include without limitation, obtaining an export license or other documentation. MERL may delay commencement of employment, rescind an offer of employment, terminate employment, and/or modify job responsibilities, compensation, benefits, and/or access to MERL facilities and information systems, as MERL deems appropriate, to ensure practical compliance with applicable employment law and government access control restrictions. In addition to base pay, interns receive a relocation stipend, covered travel to and from MERL, and a monthly Charlie Card for local commuting. Interns are invited to participate in weekly social gatherings and professional development opportunities, including research talks by both internal and external speakers. Interns who meet the 90-day waiting period are also eligible for health insurance coverage. MERL provides immigration support for qualified candidates as needed. Employment is considered at-will, and the Company reserves the right to modify base salary or any other compensation program at any time, including for reasons related to individual performance, departmental or Company performance, and market conditions.