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Machine Learning Engineer for Complex Optical Systems
2 months ago
We are seeking a highly motivated and experienced researcher to join our team as a Research Scientist in Machine Learning for Autonomous Systems. The successful candidate will be part of a collaborative project focused on automating alignment processes for complex optical systems using machine learning and artificial intelligence technologies.
Key Responsibilities- Conduct scientific research and analysis to develop and implement machine learning algorithms for autonomous alignment processes.
- Collaborate with a multidisciplinary team of researchers and engineers to design and develop experimental and theoretical models.
- Implement experiments, theoretical models, and data analysis to achieve project goals.
- Assist in the day-to-day maintenance of experimental facilities and liaise with external collaborators.
- Contribute to teaching and outreach activities, including lab and tutorial demonstrations, and public talks.
- PhD or Master's degree in a relevant field, such as Theoretical Physics, Physics, Mechanical Engineering, Robotics, or Computer Science.
- Significant experience in programming, data processing, and machine learning.
- Ability to articulate research work through written technical reports, academic publishing, and oral presentation.
- Ability to learn new digital skills and capabilities appropriate to the role.
- Experience working in a team environment and contributing to collaborative projects.
Heriot-Watt University is a leading institution in the development of high-power lasers and laser material processing applications. Our team is comprised of experts in laser device physics and engineering, as well as human-centred AI tools for decision support. We are proud to be part of the Prosperity Partnership between Heriot-Watt University, University of Edinburgh, and Leonardo UK.
Travel and CollaborationRegular travel to technical and review meetings with academic and industry partners is expected. Annual national conferences and international conferences will also be attended. Collaboration with partners within Edinburgh, including the University of Edinburgh and Leonardo, is a key aspect of this role.
