Position Overview & Specifications
Thornton Tomasetti applies engineering and scientific principles to solve the worldβs challenges. An independent organization of creative thinkers and innovative doers collaborating from offices worldwide, our mission is to bring our clients' ideas to life and, in the process, lay the groundwork for a better, more resilient future. We provide support and opportunities to our employees to achieve their full potential and cultivate a rewarding career.
Our Applied Science practice leverages a unique combination of technologies and expertise to engineer practical solutions to problems of national and international importance. We apply expertise in solid and fluid dynamics, materials science, acoustics, risk assessments, and computational simulation methods to solve complex problems. We perform research, mathematical modeling, software development, and design to manage risks to life safety in military platforms and installations, ships and submarines, critical infrastructure, tall buildings, public facilities, industrial and petrochemical plants, and automotive and airborne vehicles. Military, government, corporate, and academic clients value the validation of Applied Scienceβs software and the critical insights gained from correlating analysis with testing.
The Role
We have an opportunity for an Engineer Intern to join our Applied Science team for the Summer 2023 at our Warrington office.
Responsibilities
We are looking for a candidate with good statistical analysis and programming skills, as the individual would be primarily engaged in the development of a Probabilistic Assessment Framework. This would involve:
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- Researching Uncertainty Quantification and Monte Carlo based simulation methods for engineering applications and risk assessment.
- Coding in Python to further develop existing Python scripts used to run Monte Carlo analysis to refine and improve the simulation process.
- Developing documentation on the Probabilistic Assessment Framework.
- Presenting to potential users at the end of the internship.
- Undergraduate or graduate student with a concentration in mathematics, engineering, applied mechanics, or related field.
- Statistics modules at A' Level or above preferred
- Experience in Python or similar desirable
- Excellent academic record.
Carefully read these Terms of Use before using this website. Your access to and use of this website and application for a job at Thornton Tomasetti are conditioned on your acceptance and compliance with these terms. Please access the linked document by clicking here, select the country where you are applying for employment, and review. Before submitting your application you will be asked to confirm your agreement with the terms.