Overview
This position is within the Centre for Maritime Research and Experimentation (CMRE) and focuses on robotics and autonomous systems, with a preference for underwater robotics. The role involves designing, developing, implementing, and validating autonomy algorithms for complex problems in autonomous mine hunting and seabed warfare.
Key Responsibilities
- Support the ANMW programme of work in the investigation and development of scientific research ideas in naval mine warfare, seabed warfare, and drone warfare.
- Develop and implement advanced algorithms and models for autonomous systems.
- Develop mathematical understanding of algorithms and assess their performance.
- Collaborate with researchers to identify research questions, potential solutions, and design experiments.
- Conduct and document theoretical and/or experimental investigations on maritime research problems.
- Stay up to date with advancements in autonomy, robotics, and related fields.
- Participate in interdisciplinary research teams, contribute to research proposals and publications.
- Present research findings at conferences, workshops, and internal meetings.
- Support the organization and execution of NATO workshops and conferences.
- Seek and win funding from National Naval R&D funding agencies or National/NATO Multi-National projects.
Required Experience
- Strong experience in one of the following topics: autonomous navigation, mapping, perception, autonomous behaviors and/or AI-driven autonomy.
- At least 3 years post-MSc related experience as Scientist or Engineer with a specific focus on physics, acoustics or signal processing (if MSc degree).
- PhD degree with a specific focus and training on ocean acoustics (if PhD degree).
- Strong background in robotics and autonomous systems.
- Strong background in AI applied to autonomy.
- Proven track record of high quality scientific research in robotics with a significant publication record.
- Strong scientific programming experience using standard software and operating systems such as Linux, MATLAB, Python.
- Experience participating in scientific project work within a multi-disciplinary environment.
- Experience participating in the submission and execution of scientific projects, delivering expected outputs.
Qualifications
- A degree in Robotics, Computer Science, Engineering, Statistics, Mathematics or related field.
- MSc degree at a nationally recognised/certified University in scientific, engineering, or related field.
- PhD degree at a nationally recognised/certified University in physics, engineering, applied mathematics or related field.
