/PhD Student in Radar Interference Avoidance (m/f/d)

PhD Student in Radar Interference Avoidance (m/f/d)

Netherlandsnlvia direct
// Job Type
Full Time
// Salary
Not disclosed
// Posted
2 months ago
// Work Mode
onsite

About the Role

Radar Interference Mitigation Automotive imaging radar sensors are becoming an essential ingredient for driving assistance and self-driving cars. With increasing market penetration, it is expected that interference from other radar sensors becomes more severe and limits radar sensor performance by causing ghost images, blurring, or blinding. The need for higher image resolution demands more antennas and larger sensing bandwidth, amplifying the interference problem. Do you have a strong interest in signal processing, radio communication, stochastic signals, image processing, or neural networks? You can help us solve this problem! Proposed Research You will investigate the influence of radar interference from other vehicles and study ways to prevent interference or minimize its impact, targeting reliable sensing using safety-critical radar sensors. By simulating modelled traffic scenarios and/or measuring on real hardware, you will assess interference mitigation approaches with respect to their usefulness to accomplish the goal. You will be working alongside NXP’s radar development team in Dresden, closely connected with local and remote NXP innovation teams. Scientific supervision will be provided by the Chair of Electronic Systems and Sensors at Brandenburg University of Technology (BTU) Cottbus–Senftenberg, Germany. Key challenges to address include 1. Gaining a deep understanding of physical radar operation and the impact of interference 2. Defining and simulating critical multi-car, multi-radar scenarios 3. Exploiting and developing signal processing algorithms to mitigate the interference impact 4. Exploring methods to analyze and characterize the interference situation and adapt accordingly. Educational Requirement: Masters degree in Electrical Engineering or related fields Profound mathematical skills are a must Experience in simulation for signal processing, image processing, and/or neural networks are desirable Experience with MATLAB and/or Python will be helpful Does this sound like an interesting challenge to you? Please submit your CV and personal background and let us talk about it! Please note: The successful candidate may/will be responsible for security related tasks. The assignment may/will be in scope of security certifications, therefore a conscious and reliable way of working is necessary. More information about NXP in Germany... #LI-3da9 NXP Semiconductors N.V. (NASDAQ: NXPI) enables a smarter, safer, and more sustainable world through innovation. As the world leader in secure connectivity solutions for embedded applications, NXP is pushing boundaries in the automotive, industrial & IoT, mobile, and communication infrastructure markets. For more information, visit www.nxp.com Bright Minds. Bright Futures. We believe that a key component to growing our business is to develop our people. To enable you to grow your career at NXP, we offer online and offline learning opportunities to help you develop some of your core and professional skills. Commitment At NXP. We recognize NXP is a powerful change agent as we continue to deliver innovative solutions that advance a more sustainable future. We remain steadfast in our commitment to sustainability and making measurable year-on-year progress. Also, we aim to create an inclusive work environment and we will not tolerate racism, discrimination or harassment of any kind. We have programs in place focused on diversity, inclusion and equality. Thank you for considering a career at NXP. To help you prepare for the different steps in our hiring process, see the following useful advice and tips. Are you already an NXP employee? Do not apply here. Instead, you must apply via our internal career page. Thank you for your interest in supporting our recruitment efforts. Please note that NXP operates under a strict Preferred Supplier List (PSL) for all recruitment activities. Any candidate profiles or resume submitted without a prior written agreement or explicit request from our Talent Acquisition team will be considered unsolicited. Such submissions will be deemed free of any obligations, and no fees will be paid by NXP or any of its affiliates, subsidiaries, or divisions - regardless of whether the candidate is hired, either coincidentally or otherwise. Thank you for your understanding.

Tech Stack

PythonMATLAB

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