Intern - Applied Science (Summer 2023)
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Transatlantic Cost of Living & Purchasing Power Benchmark
Position Overview & Specifications
- 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.
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Candidate Selection & Onboarding Process
Application & Resume Screening
Submit your tailored CV/Resume directly to the talent acquisition portal.
Technical & Competency Interviews
Virtual interviews with the hiring manager and multidisciplinary team.
Formal Offer & Benefits Negotiation
Written agreement outlining compensation, equity, retirement vesting, and relocation allowances.
Onboarding & Corporate Integration
Equipment provisioning, team orientation, and commencement of duties.
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Intern - Applied Science (Summer 2023) • Thornton Tomasetti
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