Samuel Wild

Samuel Wild

A-Level Maths Tutor

Followers of Samuel Wild361 followers
location of Samuel WildNottingham, England, United Kingdom

Connect with Samuel Wild to Send Message

Connect

Connect with Samuel Wild to Send Message

Connect
  • Timeline

  • About me

    Research Associate at Rolls-Royce UTC in Manufacturing and On-Wing Technology

  • Education

    • Wilmslow High School

      2009 - 2016
      A2 Further Maths: A* Maths: A* Physics: B

      Activities and Societies: I established the school's first programming club and taught 40 students how to use Python to develop their own games. Young Enterprise National Finalist, Gold Duke of Edinburgh. Silver awards in the Senior Maths Challenge across three years

    • The University of Sheffield

      2016 - 2019
      Bachelor of Engineering - BEng Mechanical Engineering 2.1 - 69% average

      Activities and Societies: Represented Sheffield University in the RoboCup open in Germany – I led a group of four engineers designing a robot that could navigate an area recently affected by a natural disaster autonomously. My dissertation focused on designing, prototyping and manufacturing an autonomous experiment to detect fragmentation in carbon fibres through computer vision. • CAD skills – Training in SolidWorks and Autodesk, including the use of Generative Design and Finite Element Analysis.

    • University of Nottingham

      2021 - 2025
      Doctor of Philosophy - PhD Computer Vision and Robotic Control
    • University of Southampton

      2019 - 2019
      Master of Science - MSc Artificial Intelligence

      Relevant Modules: Foundations of Artificial Intelligence; Intelligent Agents; Computer Vision; Machine Learning Technologies; Algorithmic Game Theory.

  • Experience

    • Tutor with Confidence

      Jul 2020 - Jun 2021
      A-Level Maths Tutor
    • Rolls-Royce UTC in Manufacturing and On-Wing Technology

      Oct 2021 - now

      Building upon my PhD work in miniaturised sensing solutions for continuum robots, I am now integrating AI and machine learning into this workflow. This research improves the autonomous capabilities of these robots, enabling precise operation in complex environments.

      • Research Associate

        Sept 2024 - now
      • PHD Student

        Oct 2021 - Sept 2024
  • Licenses & Certifications