David Bruton

David Bruton

Scientist @ Smiths Detection

About David Bruton

David Bruton is a scientist at Smiths Detection, where he has worked since 2017, specializing in the development of Ion Mobility Spectroscopy devices for trace detection. He holds a Ph.D. in Accelerator Physics from the University of Huddersfield and has a background in physics from the University of York.

Work at Smiths Detection

David Bruton has been employed as a Scientist at Smiths Detection since 2017. In this role, he focuses on the development of Ion Mobility Spectroscopy (IMS) devices, which are essential for trace detection applications. His responsibilities include providing scientific input for the design, build, and testing of experimental equipment. He engages in planning and conducting original research aimed at enhancing design and performance, contributing to the advancement of detection technologies.

Education and Expertise

David Bruton holds a Doctor of Philosophy (Ph.D.) in Accelerator Physics from The University of Huddersfield, where he studied from 2013 to 2017. Prior to this, he earned a Bachelor’s Degree in Physics from the University of York, completing his studies there from 2008 to 2013. His academic background provides a strong foundation for his specialization in Ion Mobility Spectroscopy (IMS) and his expertise in scientific research methodologies.

Background

David Bruton began his academic journey at the University of York, where he studied Physics for five years, culminating in a Bachelor's Degree. He then pursued a Ph.D. at The University of Huddersfield, focusing on Particle Acceleration and Physics. His transition from academia to industry occurred in 2017 when he joined Smiths Detection, leveraging his research experience in practical applications.

Research and Development Skills

In his role at Smiths Detection, David Bruton utilizes advanced software tools such as Comsol, Matlab, and Labview for scientific research and development. He critically appraises experimental data and theoretical models, providing insights based on data interpretation. His skills in planning and conducting research contribute to the effective design and performance enhancement of detection technologies.

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