MC-PAD  is a FP7 multi-site Initial Training Network on particle detectors in physics experiments. It comprises nine academic participants, three industrial partners and two associated academic partners. The MC-PAD network provides excellent training opportunities to young researchers in the field of radiation detectors for the next generation of particle physics experiments and other applications. We are targeting mainly physicists (and electronics) engineers

The academic network participants are major European High Energy Physics research labs or large research institutes with excellent international reputation and a proven long standing record in the design and fabrication of state-of-the-art particle detectors. The industrial partners are European small to medium size high tech companies which have a leading role in their field. The network covers a unique set of competencies, expertise, infrastructures and training possibilities.

The network has recruited young researchers who are keen to participate in the development and application of advanced particle detectors. The young researchers are based for most of their time at one of the participating institutes, supervised by internationally recognized experts and have access to state-of-the-art equipment. Hands-on project training is supplemented with formal training courses in relevant and related fields, and a wide variety of complementary training courses, colloquia and seminars. In order to ensure exposure to complementary research and industry environments mobility of researchers in the form of detachment to one or more of the other network participants and associated partners is planned and expected for up to 30% of the duration of each fellowship.


The whole MC-PAD story in a couple of minutes ...

This photo sequence has been assembled by Marco Milovanovic (ESR at JSI Ljubljana) and shown at our closing meeting in Frascati (September 2012). The numerous photons were captured by various MC-PAD members during the eight MC-PAD events. The hands-on training on photodetection has really paid off!