Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Join a cutting-edge project using AI and computer vision for marine monitoring.
- Company: Collaborate with MSeis Limited and the University of Plymouth on innovative technology.
- Benefits: Gain hands-on experience, work in a dynamic environment, and enhance your career prospects.
- Why this job: Make a real impact on marine sustainability while developing your skills in a supportive culture.
- Qualifications: MSc/PhD in Computer Science or related field; strong Python programming and AI knowledge required.
- Other info: Based in Weston-Super-Mare, this role offers a unique opportunity to drive environmental innovation.
The predicted salary is between 28800 - 48000 £ per year.
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?
The Role: 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. You will be based in Weston-Super-Mare, Somerset.
The Candidate: You must meet with the following essential criteria:
- 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.
KTP Associate – Computer Vision Marine Monitoring Specialist employer: MSeis
Contact Detail:
MSeis Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land KTP Associate – Computer Vision Marine Monitoring Specialist
✨Tip Number 1
Network with professionals in the marine monitoring and AI fields. Attend relevant conferences or webinars to meet potential colleagues and mentors who can provide insights into the industry and may even refer you to opportunities.
✨Tip Number 2
Showcase your projects related to computer vision and AI on platforms like GitHub. Having a portfolio of your work can demonstrate your skills and passion for the field, making you stand out to potential employers.
✨Tip Number 3
Stay updated on the latest trends and technologies in marine monitoring and AI. Follow relevant blogs, podcasts, and research papers to discuss these topics during interviews, showing your enthusiasm and knowledge about the field.
✨Tip Number 4
Prepare to discuss how your skills can specifically benefit MSeis Limited and the University of Plymouth's project. Tailor your conversation to highlight your experience with multimodal sensor data and real-time image processing, aligning your expertise with their goals.
We think you need these skills to ace KTP Associate – Computer Vision Marine Monitoring Specialist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your MSc/PhD qualifications and relevant programming skills in Python. Emphasise your experience with deep learning frameworks like PyTorch or TensorFlow, as well as any projects related to computer vision and marine monitoring.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI and marine environmental monitoring. Discuss how your skills align with the role's requirements and mention any relevant experiences that demonstrate your problem-solving abilities in real-world scenarios.
Showcase Relevant Projects: If you have worked on projects involving multimodal sensor data or AI model integration, be sure to include these in your application. Provide specific examples of how you applied your knowledge to achieve results, particularly in marine or environmental contexts.
Highlight Soft Skills: Don’t forget to mention your project management skills, including planning, cost control, and risk assessment. These are crucial for the role, so provide examples of how you've successfully managed projects in the past.
How to prepare for a job interview at MSeis
✨Showcase Your Technical Skills
Be prepared to discuss your programming skills in Python and your experience with deep learning frameworks like PyTorch or TensorFlow. Bring examples of projects where you've applied these skills, especially in computer vision or AI.
✨Demonstrate Problem-Solving Abilities
Expect questions that assess your problem-solving skills. Prepare to explain how you've tackled real-world challenges using AI techniques, particularly in marine monitoring or environmental contexts.
✨Familiarise Yourself with Marine Monitoring
Research the basics of marine monitoring and environmental sensing. Understanding the specific challenges in this field will help you connect your technical expertise to the role's requirements.
✨Understand Project Management Principles
Since project management is a key aspect of the role, brush up on concepts like project planning, cost control, and risk assessment. Be ready to discuss any relevant experience you have in managing projects or working within a team.
