Research Scientist in Machine Learning for Autonomous Systems
3 weeks ago
Job Summary
We are seeking a highly motivated Research Assistant/Associate in Machine Learning for Autonomous Alignment to join our team at Heriot-Watt University. The successful candidate will investigate the automation of processes used to optimise Complex Optical Systems using Machine Learning (ML) and Artificial Intelligent technologies.
About the Role
This post is part of a major project that is focused on automating alignment processes with systems that exploit state-of-the-art robotics (i.e. mechatronic) that combine sensing and machine intelligence to create a step change in the speed and accuracy of the process. The researcher will work directly with Dr Richard Carter, Prof M J Daniel Esser, Prof Mike Chantler, the Leonardo engineers involved in the project, as well as Prof Jonathan Corney from University of Edinburgh.
Key Responsibilities
- Conduct scientific research and analysis of data
- Prepare scientific papers and communicate with other investigators
- Presentation of research at partnership workshops and meetings, as well as national and international conferences
- Contribute to experimental and theoretical design and procedure
- Assist in the day-to-day maintenance of the experimental facilities
- Liaise with external collaborators
- Contribute to teaching (lab and tutorial demonstrations) in relevant taught courses
- Involved in outreach activities, such as interviews, talks for the public and preparation of experimental demonstrators for use in schools
Requirements
The successful candidate will hold a Masters or PhD level degree in a relevant area, such as Theoretical Physics, Physics, Mechanical Engineering, Robotics, Computer Science, or closely related subject. They will have experience in programming (e.g. Python, Matlab etc.) and be able to articulate research work via written technical reports, academic publishing and by oral presentation.
Desirable Criteria
Understanding and experience in one or more additional areas relevant to the project, such as programming for data acquisition and control, programming for optical modelling, robotic/mechatronic systems, laser system design, experience in implementing manufacturing automation, experience in translating research to an industrial environment, experience of CAD software, experience of experimental design and integration, experience working as part of a highly interdisciplinary team.
Travel
Local travel to technical and review meetings with academic and industry partners on their sites in Edinburgh. Regular travel between the partners within Edinburgh (University of Edinburgh, Leonardo, Heriot-Watt) is to be expected. Annual national conferences (2-3 days within the UK) and at least 1 international conference (~ 1 week) as well as semi-regular travel between Heriot-Watt University, the University of Edinburgh and Leonardo is also expected.
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Midlothian, United Kingdom Heriot-Watt University Full timeJob Title: Research Scientist in Machine Learning for Autonomous AlignmentJoin us in our pursuit of innovation and excellence as a Research Scientist in Machine Learning for Autonomous Alignment!About the Role:We are seeking a highly motivated and talented Research Scientist to join our team in the School of Engineering & Physical Sciences. As a Research...
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Midlothian, United Kingdom Heriot-Watt University Full timeJob Title: Research Assistant/Associate in Machine Learning for Autonomous AlignmentDirectorate: School of Engineering & Physical SciencesGrade: Grade 6 (£29,605-£34,980) / Grade 7 (£36,023-£45,585)Contract Type: Full Time (1FTE), Fixed Term (24 Months)Detailed DescriptionWe are seeking a highly motivated and creative researcher to join our team in...
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Midlothian, United Kingdom Heriot-Watt University Full timeJob SummaryWe are seeking a highly motivated Research Scientist to join our team at Heriot-Watt University. The successful candidate will investigate the automation of processes used to optimize Complex Optical Systems using Machine Learning (ML) and Artificial Intelligence technologies.This project aims to create and demonstrate a robust, flexible,...
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