Research Scientist in Machine Learning for Autonomous Alignment

4 weeks 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)

Job Summary:

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 (AI) technologies.

Key Responsibilities:

  • Conduct scientific research and analysis in the field of Machine Learning and AI for Autonomous Alignment
  • Develop and implement ML algorithms for optimizing Complex Optical Systems
  • Collaborate with the research team to design and implement experiments and theoretical models
  • 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 preparation of experimental demonstrators for schools

Requirements:

  • Master's or PhD degree in a relevant area, such as Theoretical Physics, Physics, Mechanical Engineering, Robotics, Computer Science, or closely related subject
  • Significant experience in programming (e.g. Python, Matlab) and ability to learn new digital skills
  • Ability to articulate research work via written technical reports, academic publishing, and oral presentation
  • Ability to work as part of a team and contribute to experimental and theoretical design and procedure
  • Eligibility for UK Security Clearance

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 modeling, robotic/mechatronic systems, laser system design, and experience in translating research to an industrial environment

About our Team:

Heriot-Watt University is leading the development of high-power lasers, with potential applications in industrial material processing and defence. 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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