Geoptic Ltd, (1-4 months’ placement – £1,500 pm), Surrey from February 2020

Geoptic is a specialist imaging and surveying company that provides its services to civil engineering sectors, primarily the railway sector. The company has developed a novel imaging method that uses cosmic ray muons to radiographically image the overburden of tunnels and other infrastructure, addressing a deeper need to provide information on the internal structural condition of these thick and large structures. The company has experienced significant interest from National Rail and other multinational engineering consultancies.

Placement title

Cosmic ray imaging of large infrastructure

Placement description

Geoptic have opportunities for short project placements in the following roles:

  • Simulations and Advanced Data Analyst
  • Detector Construction and Development Engineer
  • Operational Detector System Deployment Scientist

Person specification

  • Data Analyst

Essential – proficiency in Python, critical thinking and demonstrable ability to simulate radiation detectors. Experience of radiation detection and Monte-Carlo simulations. 

Desirable – C++ programming experience, a background using the GEANT4 toolkit. Good customer facing presentational ability.

  • Development Engineer

Essential – Good laboratory practice and note-taking and problem-solving. Experience of radiation detection and the practical characterization of detectors.

Desirable – A background in the use of tracking detectors. An ability in basic electronics design, and in the CAD design of small mechanical components using 3D printing.

  • Deployment Scientist

Essential – Strong practical problem solving skills, use of laboratory test and measurement instrumentation (eg oscilloscopes and digital multimeters). Ability to recognize typical laboratory hazards, awareness of company safety processes, work to tight deadlines and in pressurized environments.

Desirable – CAD and electronics design skillsFor more details   Contact Veronica Benson at veronica.benson@sepnet.ac.uk