PhD Candidate in Consequences of Drone Attacks

Norwegian University of Science and Technology (NTNU)

Trondheim

On-site

NOK 420,000 - 540,000

Full time

5 days ago
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Job summary

NTNU in Trondheim is inviting applications for a PhD Candidate to work on testing, modelling, and simulation of detonating drones, addressing near-field explosions and fragmentation with advanced numerical models. The project focuses on high-quality input data, sensitivity analyses, and calibrating models against controlled reference data.

Doctorate opportunities await motivated researchers. As a PhD Candidate, you will contribute to developing accurate mathematical descriptions of detonation

Responsibilities

  • Testing, modelling, and simulation of detonating drones are central to the PhD project.

Job description

About The Position

A key problem associated with malicious drone use in conflict relates to contact charges and near-field explosions, as well as fragments generated by detonating drones, which may cause severe damage to people, buildings, and critical infrastructure even with relatively small amounts of energy. In this PhD project, testing, modelling, and simulation of detonating drones are central.

About The Position

A key problem associated with malicious drone use in conflict relates to contact charges and near-field explosions, as well as fragments generated by detonating drones, which may cause severe damage to people, buildings, and critical infrastructure even with relatively small amounts of energy. In this PhD project, testing, modelling, and simulation of detonating drones are central. Such issues require advanced numerical models, since both the detonation process and the fragmentation of the drone must be described using accurate and efficient mathematical models, thereby challenging existing theory. The accuracy of the modelling can be improved by combining better datasets with different numerical methods and by validating the results at multiple levels. This involves using quality-assured and representative input data, conducting systematic sensitivity analyses, and calibrating models against controlled reference data. Are you motivated to take a step towards a doctorate and open up exciting career opportunities? As a PhD Candidate with

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