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OtrosTrabajos field application engineer en LondonCrear alertas
¿Eres empresa? Contrata field application engineer candidatos en London
- Evok Engineering Limited
Site Engineerhace 10 días£36000–£38000 anualJornada completaLondonJob Vacancy: Site Setting out Engineer Location: London and Greater London Region Salary: £ 38,000 Employment Type: Full-Time, Permanent. About Us: Evok Engineering is a civil engineering and construction firm committed to delivering engineering consultation across all our projects in precision, quality, and safety manner. We pride ourselves on innovation, teamwork, and professional development. As we expand our team, we’re seeking a highly skilled and detail oriented Setting Out Engineer to join us on civil & infrastructure, commercial, and residential projects. Role Overview: As a Setting Out Engineer, you will be responsible for the accurate setting out of construction works in line with architectural, structural, and civil engineering drawings. Your expertise will ensure that all site elements are positioned correctly to design specifications, supporting smooth project delivery and compliance with safety standards. You will work closely with site managers, surveyors, and the design team, playing a pivotal role in translating design intent into physical site measurements. Key Responsibilities: a) Site Setting Out: Perform detailed setting out of construction elements such as foundations, drainage, utilities, highways, and building components using surveying instruments (Total Station, GPS, Levels). b) Drawing Interpretation: Analyse architectural, structural, and civil drawings, specifications, and engineering documents to prepare setting out strategies and mark constructable elements. c) Coordination: Liaise with project managers, contractors, and other engineering disciplines to coordinate activities, resolve discrepancies, and ensure accurate site positioning. d) Monitoring & Reporting: Conduct regular site checks to verify and monitor the accuracy of set-out points and provide progress updates through clear, comprehensive reports. e) Health & Safety Compliance: Adhere strictly to all health and safety regulations, promoting a safe working environment and identifying potential risks. f) Record Keeping: Maintain accurate records of measurements, as-built drawings, and site logs for audit and quality assurance purposes. g) Problem Solving: Identify and rectify any setting out issues or inconsistencies promptly to avoid delays. Required Skills & Qualifications: a) Bachelor’s Degree, HND, or equivalent in Civil Engineering, Surveying, or related field. b) Minimum of 2 years’ experience working as a Setting Out Engineer in civil engineering or construction projects. c) Proficient use of surveying equipment such as Total Station, GPS, laser levels, and digital measuring tools. d) Familiarity with CAD software (AutoCAD, Civil 3D) and other digital design tools. e) Strong knowledge of construction methods, site processes, and engineering principles. f) Excellent attention to detail with strong numerical and analytical skills. g) Ability to interpret complex drawings and technical documents accurately. h) Good communication and interpersonal skills to collaborate effectively with multidisciplinary teams. i) Valid CSCS card and any health and safety certification. j) Full UK Driving Licence preferred. Why Work with Us? a) Competitive salary with performance-based bonuses. b) Opportunities for professional growth and industry-recognized training. c) Supportive, inclusive company culture focused on teamwork and innovation. d) Access to the latest surveying technologies and tools. e) Work on diverse, high-profile projects with leading industry partners. f) Commitment to work-life balance and employee wellbeing. How to Apply: Please submit your CV and a detailed cover letter outlining your experience and suitability for the role with the subject line “Setting Out Engineer Application.”
¡Incorporación inmediata!Inscripción fácil - Rival
PhD Research Intern, AI-Powered 2D-to-3D Video Conversionhace 2 mesesJornada completaLondonAbout Rival: Backed by top VCs and angels, Rival is building a unique 3D content-sharing platform and a first-of-its-kind foundational AI model that converts any 2D video into an immersive 3D experience. Currently a team of 13, Rival has brought together talents from Google, Meta, Amazon, BCG, Morgan Stanley, etc. Project Overview: We are seeking a highly motivated PhD intern to join our team and contribute to an exciting project focused on developing a novel, end-to-end system for converting standard 2D videos into compelling 3D (stereoscopic or depth-based) formats using advanced AI techniques. The goal is to research, design, and implement deep learning models capable of understanding scene geometry, motion, and temporal consistency directly from monocular video input to generate high-quality 3D output automatically. This research has the potential to revolutionize content creation and consumption for VR/AR and 3D displays. Your Responsibilities: Conduct literature reviews on state-of-the-art methods in monocular depth estimation, novel view synthesis, video understanding, and 2D-to-3D conversion. Design, implement, and experiment with deep learning architectures (e.g., Transformers, CNNs, GANs, Diffusion Models) for the 2D-to-3D conversion task. Focus on key challenges such as temporal consistency, handling complex motion, maintaining geometric accuracy, and computational efficiency. Process and manage large-scale video datasets for training and evaluation. Collaborate closely with researchers and engineers to integrate findings into a prototype system. Analyze results, document findings, and present progress regularly. Contribute to potential publications or patent applications based on research outcomes. Required Qualifications: Currently enrolled in / just finished a PhD program in Computer Science, Electrical Engineering, Artificial Intelligence, or a related field. Research focus in Computer Vision, Deep Learning, Machine Learning, or Graphics. Solid theoretical understanding and practical experience in deep learning and computer vision fundamentals. Proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow). Experience working with image and/or video data. Strong analytical, problem-solving, and research skills. Excellent communication and collaboration abilities. Preferred Qualifications: Track record of relevant publications in top-tier CV/ML conferences (e.g., CVPR, ICCV, ECCV, NeurIPS, ICML, SIGGRAPH). Experience specifically with monocular depth estimation, stereoscopic vision, view synthesis, video generation, or 3D reconstruction. Familiarity with video processing tools (e.g., OpenCV, FFmpeg). Experience with large-scale model training and data pipelines. Contributions to relevant open-source projects.
¡Incorporación inmediata!Sin experienciaInscripción fácil
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