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Smart sniffer device for detection of illicit substances

  • Full or part time
  • Application Deadline
    Friday, November 01, 2019
  • Funded PhD Project (European/UK Students Only)
    Funded PhD Project (European/UK Students Only)

Project Description

The project is of high international relevance due to need to fight organised crime as well as supporting and facilitating the activities of security practitioners at national and EU level and aligns with the CDS strategic priorities: i) Offer premier learning experience ii) Valid contribution to the International Defence and Security sectors and iii) Consolidate the collaboration of Cranfield and DTU.

The aim of the project is to develop an easy to use handheld detector, which can detect improvised explosives and precursors, common explosives and precursors, controlled drugs and narcotics and their precursors.

The development of the sniffer device will offer solutions to make the world a safer place. Law Enforcement Agencies and/or military forces will have a better tool and a safer work place as well.

The potentiality of the project in publishing is expected to be high as from the critical social problem related to the detection of illicit substances and protection of society.
This is a unique opportunity for the PhD student to i) personally developed through an interdisciplinary project, ii) acquire important knowledge/skills for future employability iii) build up a substantial networking and iv) make an important contribution to the global defence and security sector.

As part of the opportunity you will get the opportunity to;

Collaborate with two of the top European Universities
Collaborate with CRIM-TRACK start-up company
Travel between Cranfield and DTU sites
Attend National and International Conferences

Funding Notes

This PhD opportunity is funded from Cranfield University through the “Mike Gibson’s PhD Studentship” award.

The applicant should:
Have a MSc degree in chemistry
Be able to carry out independently organic synthesis and analytical chemistry
Proficient in MATLAB

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