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Are you a passionate in electrical and electronic equipment? We are looking for Sales Specialist- Test & Measurement Equipment ( UK). Responsibilities: · Build customer relationships: Maintain a relationship of trust and satisfaction with distributors and end customers. Support distributors activities and ensuring their loyalty to KPS. Present and promote KPS products to distributors, during breakfast days, trainings and visiting end customers. Carry out point-of-sale events and end-customer visits independently or jointly with distributors. Follow up with customers and maintain long-term commercial relationships with both distributors and end users. · Business Growth: Identify and contact potential customers in the assigned area, identifying, classifying, and qualifying leads to determine their potential as clients. Promote and present campaigns, new products, etc., at the point of sale and maintain the brand image and corporate identity at those locations (displays, brochures…). Frequent travel within the UK and occasionally internationally. · Technical Advice: Resolve issues at the sales point or with the end customer. Provide pre-sales and post-sales technical support to the distributor. Provide pre-sales and post-sales technical support to the end customer. Ensure that end customers have a positive experience with KPS products. · Training and Development: Train sales point staff on the KPS product range. Contact professional associations, colleges, etc., to conduct training sessions aimed at showcasing the KPS range. · Daily Follow-up: Prepare activity reports (HubSpot, internal process). Manage follow-up on assigned objectives.
Location: London or Edinburgh (travel required) Employment Type: Part-Time/Freelance Responsible to: Marketing Director The purpose of this role is to raise the profile and impact of Anglo & Phoenix Education’s services and the wider student community. The role offers flexibility to accommodate individual needs, as far as reasonably practicable, while meeting the organisation’s requirements. Key Responsibilities - Record short (≈1 minute) videos sharing UK university application insights. - Assist in the planning and execution of marketing campaigns, including both digital and in-person initiatives. - Create engaging content for social media, newsletters, and other marketing channels to raise brand awareness. - Support lead generation by connecting with prospective students, parents, and educators, fostering long-term relationships. - Represent Anglo & Phoenix Education at events, ensuring a positive and professional image. Requirements - Native-level English proficiency - Currently enrolled at or recently graduated from a university in the UK. - Familiarity with the UK university application process and student life (knowledge of international transitions is a plus). - Passionate about education and committed to education services particularly to international students. - Strong communication skills, with the ability to engage and connect with diverse audiences. - Experience in social media management, content creation, or marketing campaigns (preferred but not essential). - Proactive, creative, and reliable, with excellent organisational skills. - Comfortable speaking on camera and interacting with potential clients. Benefits - Competitive hourly rate (£15 - £25 depending on experience) with commission (depending on performance) and flexible working hours to fit around your studies. - Opportunity to gain hands-on experience in marketing, communication, and event management. - Expand your professional network within the education and marketing sectors. - Be part of a dynamic and supportive team that values your contributions and ideas. If you’re passionate about marketing and education, please send your CV and a short cover letter explaining your interest in this role.
About 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.