Imperial College London

Dr Adam J. Dobbs

Faculty of Natural SciencesDepartment of Physics

Academic Visitor



+44 (0)20 7594 7796a.dobbs07 Website CV




514Blackett LaboratorySouth Kensington Campus






Adam Dobbs was an undergraduate student at the University of Warwick from 2002 to 2006, gaining an upper second masters degree in physics.  

In 2007 he joined the High Energy Physics group at Imperial College, studying for a PhD under the supervision of Prof. Ken Long, as part of the MICE collaboration. In 2011 his thesis entitled "Particle Rate and Host Accelerator Beam Loss on the MICE Experiment" was accepted, gaining him his doctorate.

Adam continues at Imperial as a Research Associate with the High Energy Physics group. During his time on MICE, Adam has served as lead shifter, the beamline coordinator, beamline on call expert, in the rotating position of MICE  operations manager and coordinator of the hardware and software for the scintillating fibre trackers. He is currently the head of offline software for MICE. His research interests include ionisation cooling, muon accelerators and neutrino oscillation physics.

During his time with the department Adam has also taken a strong interest in teaching, for which he has been recognised twice with awards for support of excellence in teaching in the faculty of natural sciences, first in 2013 and again in 2017.

In 2017 Adam successfuly completed a postgraduate certificate in university learning and teaching with the Imperial College educational development unit, and also became a fellow of the Higher Education Academy.



Asfandiyarov R, Bayes R, Blackmore V, et al., 2019, MAUS: the MICE analysis user software, Journal of Instrumentation, Vol:14, ISSN:1748-0221, Pages:1-21

Bogomilov M, Long KR, The MICE collaboration, 2017, Lattice design and expected performance of the Muon Ionization Cooling Experiment demonstration of ionization cooling, Physical Review Accelerators and Beams, Vol:20, ISSN:2469-9888

Dobbs A, Hunt C, Long K, et al., 2016, The reconstruction software for the MICE scintillating fibre trackers, Journal of Instrumentation, Vol:11, ISSN:1748-0221


Bayes R, Bogomilov M, Carlisle T, et al., 2016, The MICE Analysis User Software (MAUS), v.2.5.0

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