Current Positions

Funded PhD studentship in Nanoscale Interfacial Fluid Dynamics (more details here)

Ongoing Opportunities

Enthusiastic and talented researchers are encouraged to apply for Postdoctoral Fellowships and PhD Scholarships to join our vibrant collaborative Micro and Nanoflows for Engineering network.  A number of potential funding routes exist, depending on the applicant's circumstances, and these can be explored by contacting us at 'micronanoflows at'.

Postdoctoral Fellowships

Potential funding routes include:

PhD Scholarships

For up to date information, please check the graduate school pages of the University of Edinburgh and the University of Warwick. Specific opportunities include:

Funding for Early Career Researchers (small pots of money)

Below are some possible sources of funding for PhD and PDRAs.  Please update whenever you find a new source or have more details of an existing one.  Eligibility is often unclear, so if in doubt email the appropriate contact and then update the details below.


  • access to ARCHER - there are 2 RAP calls for 2017 for 6 - 12 months of access to ARCHER, funded by EPSRC
  • embedded CSE (eCSE) support - only three eCSE calls remain (see here); this call provides money to employ PDRAs/computational scientists to help maintain software sustainability and that runs on ARCHER


Workshop Organisation

Other Possibilities

Royal Society, Wellcome Trust, 



Latest Blog Posts

Recent Publications

MJ Zimon, R Prosser, DR Emerson, MK Borg, D Bray, L Grinberg, JM Reese (2016) An evaluation of noise reduction algorithms for particle-based fluid simulations in multi-scale applications. Journal of Computational Physics, 325: 380-394 (full paper here)

BS Collyer, C Connaughton, DA Lockerby (2016) Importance sampling variance reduction for the Fokker–Planck rarefied gas particle method. Journal of Computational Physics, 325: 116-128 (full paper here)

MJ Zimon, JM Reese, DR Emerson (2016) A novel coupling of noise reduction algorithms for particle flow simulationsJournal of Computational Physics, 321: 169-190 (full paper here)