16 Scientific jobs in Ely

Are you looking to apply your AI, machine learning, and computer vision expertise in a real-world setting to drive innovation in marine environmental monitoring?, A unique and exciting opportunity has arisen for a Knowledge Transfer Partnership (KTP) Associate to work with MSeis Limited and the University of Plymouth on a ground-breaking project integrating AI-driven computer vision technology into advanced dual-sensor marine monitoring systems. This collaboration aims to enhance marine mammal detection, hazard mitigation, and environmental sustainability in offshore operations. Range and bearing determination of targets. You will be based in Weston-Super-Mare, Somerset. For more information about how Knowledge Transfer Partnerships can accelerate your career, visit: https://iuk-ktp.org.uk, The University of Plymouth is renowned for its research excellence in marine science, artificial intelligence, and environmental monitoring. The KTP project will be supported by leading academics, including Dr. Lauren Biermann (Marine & Coastal Remote Sensing Lecturer), Dr. Haoyi Wang (Lecturer in Computer Science), and Dr. Dena Bazazian (Lecturer in Machine Vision and Robotics). Their expertise spans AI-driven environmental monitoring, multimodal data integration, and computer vision applications for marine conservation. The University of Plymouth provides a strong foundation for interdisciplinary research and innovation, ensuring the successful knowledge transfer of cutting-edge AI technology into real-world applications.

• MSc/PhD in Computer Science, AI, Machine Learning, or a related field.
• Strong programming skills in Python and experience with deep learning frameworks (e.g., PyTorch, TensorFlow).
• Knowledge of computer vision, object detection, and real-time image processing.
• Experience working with multimodal sensor data and AI model integration.
• Excellent problem-solving skills and the ability to apply AI techniques to real-world challenges.
The following desirable criteria would be advantageous:
• Experience in marine monitoring, environmental sensing, or offshore operations.
• Familiarity with embedded systems and optimizing AI models for real-time deployment.
• Knowledge of environmental regulations related to marine life protection.
• A clear understanding of project management including project planning, cost control, risk assessment, quality and resource management.
  
  MSeis is a specialist marine technology company dedicated to designing, building, and deploying hydrophone systems, passive acoustic monitoring solutions, and dual-sensor thermal-optical camera systems for environmental monitoring. By integrating AI and machine learning into its cutting-edge technologies, MSeis is transforming offshore marine safety and conservation. More information about MSeis can be found at www.mseis.com, A successful external candidate for this position would be employed by the University of Plymouth Services Limited, a wholly owned subsidiary of the University of Plymouth. Employees of the University of Plymouth Services Limited work alongside the University of Plymouth colleagues in delivery of Plymouth's strategic vision, and will adopt the University of Plymouth's HR policies and procedures in full unless otherwise stated.
  
  This is a full-time position working 37 hours per week on a fixed-term basis for a period of 24 months due to funding.
Flexible working options including job share will be considered. Due to the nature of the role, unfortunately we are unable to accommodate working from home.,
• Generous annual leave: 25 Days Annual Leave plus Bank Holidays & Closure Days
• Generous pension scheme
• Cycle to Work & Electric Car Scheme
• Employee Assistance Programme
• Development opportunities
• Enhanced family leave
• Flexible working
• Retailer discounts
• On-site nursery (Plymouth Campus)
A summary of our comprehensive benefits can be viewed here.