PhD | Robust quantification of radiological data aqcuired with UAVs
The use of Unmanned Aerial Vehicles (UAVs) or drones for performing radiological measurements in all phases of nuclear emergencies and characterization efforts in the remediation of historically contaminated sites can have important benefits but also poses scientific challenges. The flexible deployment of drones allows timely and representative measurements, however the accurate interpretation of a drone measurement performed in flight is often not straightforward. In addition, radiological measurements with UAVs span a wide-range of potential scenario’s, from a lost radioactive source, a surface or in-depth soil contamination up to a large scale accident with atmospheric releases. For decision making and the protection of first responders, the public and the environment, insight in the exposure situation and having quantitative information on levels of radiation, airborne concentrations and ground contaminations is extremely important.
The final objective of this PhD project is to develop an innovative direct detection system, using different detection techniques and combining this with the flexible use of an UAV to perform measurements under optimized flight patterns. This methodology should allow for the discrimination on the origin of the radiation (airborne, ground or a combination) and robustly quantify the radiological data acquired in-flight to a level fit-for-purpose for good characterization and decision making in a wide-range of scenario’s.
The research will include the in-depth analyses of radiological datasets from UAV flights performed by SCK CEN in the past years in many different environments, new dedicated experiments and radiation transport calculations. Based on the experience from these studies a payload, consisting of an optimized multiple detector system will be designed, developed and tested using an SCK CEN UAV (e.g.; DJI M600).
Research Field Physics Education Level Master Degree or equivalent
Research Field Mathematics Education Level Master Degree or equivalent
Research Field Computer science » Informatics Education Level Master Degree or equivalent
Research Field Engineering » Electronic engineering Education Level Master Degree or equivalent
The minimum diploma level of the candidate needs to be
- Master of sciences
The candidate needs to have a background in (one of) the topic(s) below
Languages ENGLISH Level Excellent
Why would you choose to perform your PhD research at SCK CEN? * Academic & research-oriented: SCK CEN ensures a close cooperation with the academic sector, combined with the unique character of our international research environment. You will work together with supportive experienced experts and use innovative facilities, specifically designed for nuclear experiments.
- Multidisciplinary research: Your PhD is inextricably linked with other areas of expertise, either because of the versatile character of your own topic, or indirectly thanks to knowledge exchanges with colleagues.
- Excellent training centre: SCK CEN is proud of its own SCK CEN Academy, which organises our own internal training courses. Obviously, you can also benefit from these opportunities and the Academy’s excellent reputation.
Website for additional job details
Number of offers available 1 Company/Institute SCK CEN Country Belgium State/Province Antwerp City Mol Postal Code 2400 Street Boeretang 200
Where to apply Website
Boeretang 200 Postal Code
Fri, 22 Dec 2023 02:49:08 GMT
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