Researcher jobs in Herzliya

Job Description GM Israel (Herzliya) takes a significant part in introducing sophisticated software features into car in many domains like connected cars, advanced camera technologies and research. We shape the face of the future vehicles in diverse fields by developing cutting edge technologies that define how drivers experience safety, awareness, and confidence on the road. GM is committed to Zero Emission, Zero Crashes and Zero Congestion vision. About the Group General Motors Research Labs is an applied research center focusing on creating and evaluating innovations for future vehicles. Our researchers conduct independent technical work, while initiating and leading collaborative projects with colleagues at academia and industry globally. The Wireless Connectivity R&D group focuses on advancing both current and future connectivity technologies across cellular (4G/5G/6G), Wi-Fi, Bluetooth, UWB, and beyond. Our mission is to: • Improve real-world connectivity performance and reliability in production vehicles • Maximize customer satisfaction for connectivity-dependent applications • Explore new algorithms and system configurations across all layers of the communication stack • Contribute to future connectivity standards and architectures About the Role We are seeking a Senior Researcher - Wireless Connectivity & AI to drive innovation at the intersection of wireless communications, AI/ML, and automotive applications. This role combines deep technical expertise in wireless systems with advanced data-driven methods to unlock new capabilities and improve real-world performance beyond current limits. What will YOU do? • Analyze connectivity system performance using data collected from field deployments, lab measurements, and simulations • Benchmark performance against commercial off-the-shelf (COTS) devices and identify key performance gaps • Develop models and methodologies—leveraging AI/ML and analytical techniques—to improve connectivity robustness and user experience • Design and evaluate system-level optimizations for in-vehicle connectivity across multiple radio technologies • Influence next-generation connectivity architectures and standards with a focus on enhancing customer-facing applications • Collect, preprocess, and analyze large-scale connectivity datasets from simulations, lab measurements, and field deployments • Develop predictive models for: • Physical layer (link-level) performance • End-to-end system and network performance Your Skills & Abilities (Required Qualifications) • PhD in Electrical Engineering, Computer Science, Mathematics, Physics, or a related field • Strong background in wireless communications, including: • Physical layer and higher-layer protocols • Cellular (4G/5G) and WLAN systems • Real-world deployment considerations and KPI trade-offs • Solid foundation in: • Signal processing • Probability and statistics • Optimization • Estimation and detection theory • Information theory • Proven experience in AI/ML, including model development and evaluation • Proficiency in programming: Python, MATLAB, C/C++ • Experience with deep learning frameworks (e.g., TensorFlow, PyTorch) What Will Give You a Competitive Edge (Preferred Qualifications) • Experience in applied research and transitioning ideas into practical solutions • Background in system-level simulations or real-world measurement campaigns • Familiarity with automotive connectivity use cases and constraints • Contributions to research or standardization (publications, patents, 3GPP/IEEE involvement) Why Join Us This is a unique opportunity to work at the forefront of wireless connectivity innovation, combining AI, communications, and real-world automotive applications. You will have the ability to influence both current vehicle performance and future industry standards, while working with a highly skilled, multidisciplinary team. 



About GM Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. Why Join Us We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team. Non-Discrimination and Equal Employment Opportunities General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire. Accommodations General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Position Summary Samsung Research Israel (SRIL), part of Samsung Electronics (SET), operates at the forefront of technological innovation through its two main hubs: Advanced R&D & Open Innovation. These activities focus on developing cutting-edge technologies to shape the future of Samsung Electronics. SRIL actively collaborates with Israeli high-tech companies and academic institutions to integrate advanced solutions into Samsung’s products, while also developing innovative technologies in-house. We lead advanced research in artificial intelligence, optics, and machine learning, aiming to deliver world-class technology with a global impact. Position Overview We are seeking a researcher with a strong theoretical and hands-on background in optics and experience applying machine learning, computer vision, and deep learning to imaging problems. This role combines research in optical systems, imaging physics, and AI with industrial applications. The researcher will contribute to next-generation camera technologies, computational imaging, and image enhancement by connecting the physical image-formation process with advanced computational methods. Role and Responsibilities · Conduct research at the intersection of optics, computational photography and machine learning for advanced camera systems. · Model and analyze image formation, including optical propagation, diffraction, aberrations, sensor response, and noise. · Develop ML/DL algorithms for image reconstruction, restoration, enhancement, and understanding, incorporating physical models and optical-system constraints. · Investigate generative AI and diffusion models for imaging applications, including physically informed image reconstruction and synthesis. · Design and conduct optical experiments, simulations, and algorithmic prototypes to validate research hypotheses and optimize imaging performance. · Collect and analyze experimental image and video data, connecting laboratory measurements with simulation and model evaluation. · Collaborate with optical, sensor, and algorithm teams to assess system-level trade-offs and translate research into practical imaging solutions. · Stay current with research in electro-optics, computational imaging, physics-informed learning, and computer vision. · Document and present research outcomes internally and in global collaboration meetings. Skills and Qualifications · M.Sc. or advanced-stage PhD candidacy, in Physics, Applied Physics, Electro-Optics, Optical Engineering, Electrical Engineering, or a closely related field, with research focused on optics or imaging. · Strong background in both electro-optics and physics, demonstrated through academic research or relevant industry experience. · Solid theoretical knowledge of wave and geometrical optics, diffraction, optical image formation, and light–sensor interactions. · Hands-on experience with optical or electro-optical systems, including experimental setup, measurement, characterization, and analysis. · 2–5 years of relevant research experience in electro-optics, computational imaging, or physics-based imaging, in academia or industry. · Practical experience applying machine learning, computer vision, or deep learning to imaging problems. · Understanding of deep learning architectures relevant to imaging, such as CNNs, transformers, or generative models. · Proficiency in scientific programming and numerical analysis using Python and/or MATLAB, with experience in a deep learning framework such as PyTorch or TensorFlow. · Ability to independently design experiments, interpret physical phenomena, and connect theoretical models with measured results. · Excellent communication and collaboration skills in a multidisciplinary R&D environment. Preferred Qualifications · Experience in computational photography, inverse imaging problems, or joint optimization of optical systems and reconstruction algorithms. · Experience with camera systems, CMOS image sensors, optical-system characterization, or imaging-system calibration. · Familiarity with optical simulation and design tools such as Zemax or Code V. · Experience with physics-informed learning, differentiable imaging models, or simulation-to-real methods. · Experience with diffusion models or other generative approaches for image restoration, enhancement, or synthesis. · Publications in relevant optics, imaging, computer vision, or machine learning venues. Our Offering · A chance to work on cutting-edge electro-optical, computational imaging, and AI technologies that influence Samsung’s products worldwide. · Exposure to world-class researchers and engineers in a collaborative, innovation-driven environment. · Access to advanced computing resources and imaging labs. · Flexible engagement suited to an advanced-stage PhD student or postdoctoral researcher. · Mentorship, professional growth, and the opportunity to contribute to high-impact global R&D projects. Please note that, throughout the interview process, we ask all candidates to refrain from sharing any confidential, proprietary, or trade-secret information belonging to their current or former employers or any other third party. We are interested in your skills, experience, and accomplishments, and ask that you describe them without disclosing information that is not yours to share. * Please visit Samsung membership to see Privacy Policy, which defaults according to your location. 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