Research Scientist in Machine Learning for Autonomous Systems

3 days ago


Midlothian, United Kingdom Heriot-Watt University Full time
Job Title: Research Assistant/Associate in Machine Learning for Autonomous Alignment

Directorate: School of Engineering & Physical Sciences

Grade: Grade 6 (£29,605-£34,980) / Grade 7 (£36,023-£45,585)

Contract Type: Full Time (1FTE), Fixed Term (24 Months)

About the Role

We are seeking a highly motivated and creative researcher to join our team as a Research Assistant/Associate in Machine Learning for Autonomous Alignment. 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, industrial system capable of carrying out alignment tasks autonomously. The researcher will work closely with our team of experts in Machine Learning, Robotics, and Optical Systems to develop and implement advanced algorithms and techniques for autonomous alignment.

Key Responsibilities
  • Conduct scientific research and analysis in the field of Machine Learning and Autonomous Alignment
  • Develop and implement advanced algorithms and techniques for autonomous alignment
  • Collaborate with our team of experts in Machine Learning, Robotics, and Optical Systems
  • Contribute to the development of experimental and theoretical design and procedure
  • Assist in the day-to-day maintenance of experimental facilities
  • Liaise with external collaborators and contribute to teaching and outreach activities
Requirements
  • Master's or PhD degree in a relevant area (Theoretical Physics, Physics, Mechanical Engineering, Robotics, Computer Science, or closely related subject)
  • Significant experience of programming (e.g. Python, Matlab etc.)
  • Ability to articulate research work via written technical reports, academic publishing, and oral presentation
  • Ability and willingness to learn new digital skills and capabilities
  • Ability to formulate and progress work on their own initiative with evidence of research ability: problem solving, flexibility
  • Must be able to work as part of a team on the experiments at Heriot-Watt in Edinburgh
Desirable Criteria
  • Understanding and experience in one or more additional areas relevant to the project (e.g. 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
About Our Team

Heriot-Watt University is leading the development of high-power lasers, with potential applications in industrial material processing and defence. Our team is pioneering the development of laser material processing applications and successfully transferring these to industry.

The Laser Device Physics & Engineering group under the lead of Prof Esser drives the research and development of new laser sources in the near-infrared and mid-IR, demonstrating and exploiting new high-brightness diode laser technologies, novel solid-state laser crystals, and new manufacturing and assembly methods applied to laser system design and assembly.

The Strategic Futures Laboratory, led by Prof Mike Chantler, specialises in developing and deploying human-centred AI tools for decision support. It has 20 years' experience in researching explainable and useable AI, focussing on interactive graphical explanation and visualisation, qualitative and quantitative methodologies, and state of the art machine learning techniques ranging from classical Bayesian approaches to neural net transformer systems.

Leonardo is the UK's largest manufacturer of the sensors and electronic systems which sit under the skin of the world's most advanced aircraft, effectively acting as their brains, senses, and nervous systems. Protecting pilots, alerting air crews to threats, and providing unrivalled situational awareness, our world-class engineering and technology informs decision-making and helps ensure that those in harm's way come home safely. The Edinburgh site is home to Leonardo's world-leading laser capability, with their engineers meeting around 80% of the global demand for high-energy military lasers.

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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