Signal Processing Engineer

Company Overview:TIMEZYX is a deep-tech company, focused on advancing the frontiers of Structural Digital Twin and revolutionizing risk assessment for critical infrastructure. Our mission is to solve the most complex computational challenges in science and engineering using innovative mathematical models, high-performance computing, and cutting-edge machine learning techniques. At the core of our work is the development of robust numerical solvers and next-generation simulation tools with applications in solid mechanics, physics-based modeling, and uncertainty quantification. We are proud to foster an inclusive, multidisciplinary research environment that brings together experts from structural engineering, computational mathematics, physics, computer science, and material science. As we continue to expand, we are looking for brilliant minds to join our team and help shape the future of risk assessment for critical infrastructure.You can learn more about us on our website. Position Overview:TIMEZYX is seeking a Research Associate in SAR Signal Processing, Analytics & Modelling to join our Engineering team in Gothenburg, Sweden. This is a full-time, remote/hybrid/in-person industrial role developing advanced methods for extracting static and dynamic structural information from satellite SAR data. The role has a strong emphasis on fundamental SAR signal processing and algorithm development, spanning SAR image formation, interferometry, phase-history and sub-aperture processing, motion estimation, autofocus, and Persistent Scatterer analysis. The successful candidate will develop, implement, validate, and improve algorithms for measuring structural displacement and dynamic response from SAR observations, including validation against ground-based sensors and reference datasets, and will be working closely with colleagues across our Gothenburg and Vancouver offices. The ideal candidate has deep theoretical and practical expertise in SAR fundamentals, strong scientific computing skills, and demonstrated experience developing SAR processing algorithms from first principles. Experience applying SAR methods to infrastructure monitoring, structural dynamics, or other precision deformation and motion-estimation problems is highly desirable. Key Responsibilities:Develop and implement advanced SAR signal processing and image formation algorithms, including phase-history, sub-aperture, backprojection, and autofocus methodsDevelop and validate InSAR and Persistent Scatterer (PS) analysis methods, including PS selection, geolocation, and association with physical locations on structuresDevelop methods for extracting dynamic structural response from SAR data using phase-based analysis, micro-Doppler, pixel tracking, etc.Investigate and optimize key processing parameters, including sub-aperture configuration, overlap, spatial/temporal resolution, and other algorithmic hyperparametersIncorporate structural and physics-based priors into SAR displacement and motion-estimation algorithmsValidate SAR-derived measurements against EGMS products, ground-based sensors, and other reference measurements, including accuracy and uncertainty assessmentDevelop robust, well-documented processing pipelines and contribute to technical reports, publications, and collaborative R&D projects Qualifications:Ph.D. in Electrical Engineering, Signal Processing, Remote Sensing, Radar Engineering, Physics, Geomatics, Computer Science, or a closely related fieldDeep theoretical and practical expertise in SAR fundamentals, radar signal processing, and SAR image formationDemonstrated experience in developing and implementing SAR processing algorithms, beyond the application of standard software packagesStrong knowledge of interferometric and coherent SAR processing, including phase analysis, displacement estimation, and time-series methodsStrong scientific programming skills in Python, MATLAB, C/C++, or similar computational environmentsStrong analytical, research, and technical writing skills, with the ability to independently investigate open-ended research problems Non-Technical Qualifications:Strong communication and technical writing skillsAbility to work independently and lead research initiativesCollaborative mindset across disciplines (engineering, remote sensing, math)Strong problem-solving and analytical thinkingAdaptability in a fast-evolving research and startup environment Nice to Haves:Experience with InSAR, DInSAR, MT-InSAR, or Persistent Scatterer InterferometryExperience with raw, Level-0, SLC, or phase-history SAR dataExperience with sub-aperture processing, micro-Doppler analysis, moving-target analysis, or vibration estimation from radarExperience with SAR autofocus, including backprojection-based or phase-gradient autofocus methodsExperience with pixel tracking, image registration, optical flow, or other motion-estimation techniquesKnowledge of structural dynamics, system identification, or structural health monitoringExperience incorporating physics-based or structural priors into signal-processing or inverse-estimation methodsExperience with SAR processing tools such as SNAP, StaMPS, MintPy, ISCE, or GAMMAExperience with high-resolution SAR data from missions such as Sentinel-1, TerraSAR-X/TanDEM-X, COSMO-SkyMed, Capella, or other commercial SAR constellationsExperience with machine learning, physics-informed machine learning, inverse problems, or uncertainty quantificationPrior work applying remote sensing or radar methods to bridges, buildings, or other infrastructure systems Why Join TIMEZYX?Cutting-Edge Research: Work on state-of-the-art numerical and machine learning methods to solve real-world scientific problemsCollaborative Environment: Join a team of passionate, interdisciplinary researchers working across applied math, physics, and computingProfessional Development: Opportunity to publish, present, and grow your research portfolioInclusive Culture: A multicultural workplace committed to equity, diversity, and inclusion Does this opportunity excite you?Join TIMEZYX in building the future of infrastructure intelligence – apply with your Linkedin profile and attach their resume, or send your resume directly to Kamyab.Zandi@timezyx.com.