Accepting PhD Students

PhD projects

Turbulence Statistical Analysis in Magnetically Confined Plasmas Evolution of Solar/Stellar Magnetic fields and Rotations Non-Equilibrium Statistical Physics and Information Length Modeling Cardiac dynamics and Circulation and Control Anomalous Transport and Fractional Calculus

  • 1628 Citations
  • 22 h-Index

Research output per year

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Personal profile

Research Interests

Prof Kim is interested in complexity, self-organisation and non-equilibrium processes. Self-organisation is a novel property of complex systems where ordered collective behaviour emerges on a macroscale, which provides a unifying theory for many systems that are constantly changing in time and space. Prof. Kim aspires to understand fundamental mechanisms underpinning complexity (e.g. turbulence, chaos) and the regulation of such complexity into coherent structures (e.g. shear flows), and mechanisms for the breakdown of self-organisation in different systems. She pursues both theory and applications. On the theoretical front, she develops (non-equilibrium) statistical theory (e.g. using probability density function, path integrals, stochastic differential equations, fractional calculus), in particular, a new geometric/information approach, to unify different non-equilibrium processes. On the application front, in the laboratory and astrophysical plasmas, she works on turbulence, mixing, momentum transport, dynamos, magnetic activities and diffusion, fluid dynamics, magnetohydrodynamic turbulence, confinement of fusion plasmas, transport barrier dynamics and the evolution of solar magnetic fields and rotation; in biosystems, homeostasis and its breakdown (tumour, heart rhythm). Her interest in biosystems was sparked not only by the much similarity between biosystems and plasmas/fluids in view of complexity and self-organisation but also by their highly nonlinear/multiscale nature, which she can take advantage of as an excellent framework to develop a new mathematical theory and test against experiments. In particular, Pro. Kim is keen on the information thery (information length) to model complexity and self-organisation in nonlinear dynamical systems, fluid/plasma turbulence, and biosystems.


*Supervision of postdocs: Nicolas Leprovost: 16/10/2005-31/03/2008 on PPARC (University of Sheffield); Nicolas Leprovost: 01/04/2008-30/08/2010 on STFC (University of Sheffield); Johan Anderson: 20/03/2007-19/09/2009 on EPSRC (University of Sheffield); Andrew P. Newton: 01/03/2011-30/06/2012 on STFC (University of Sheffield).

*Supervision of PhD Students: Andrew P. Newton (PhD in 2010, University of Sheffield); Jamie Douglas (PhD in 2011, University of Sheffield); Schuyler Nicholson (PhD in 2015, University of Sheffield); Mabruka Mohamed (PhD in 2015, University of Sheffield); Aditi Sood (PhD in 2015, University of Sheffield); Avan Al-Saffar (PhD in 2018, University of Sheffield); Laminu Idris (since 2017); James Heseltine (since 2018); Adrian J Guel C (since 2019).


Education/Academic qualification

Physics, Doctorate, University of Chicago

Physics, Degree, Yonsei University

External positions

Postdoctoral Visitor, National Centre for Atmospheric Research

Assistant Research Scientist, University of California, San Diego

Postdoctoral Fellow, University of California, San Diego

Postdoctoral Research Fellow, University of Exeter

Postdoctoral Research Fellow, University of Leeds

Associate Professor, University of Sheffield

Lecturer/Senior Lecturer, University of Sheffield


  • QC Physics
  • Magnetohydrodynamics (MHD)
  • Non-equilibrium statistical mechanics
  • Fluid dynamics
  • Plasma physics
  • Turbulence
  • Self-organisation
  • Magnetic fusion
  • Dynamo Theory
  • Shear flow physics
  • Cardiac dynamics
  • Homeostasis in biosystems
  • QB Astronomy
  • Solar interior dynamics
  • Solar tachocline
  • Transport
  • Solar/stellar rotation and magnetic fields
  • Stellar evolution
  • Statistical analysis of flares

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Research Output

Elucidating plasma dynamics in Hasegawa-Wakatani turbulence by information geometry

Anderson, J., Kim, E., Hnat, B. & Rafiq, T., 7 Feb 2020, In : Physics of Plasmas. 27, 2, p. 1-9 9 p., 022307.

Research output: Contribution to journalArticle

  • 1 Citation (Scopus)

    Information Length as a Useful Index to Understand Variability in the Global Circulation

    Kim, E., Heseltine, J. & Liu, H., 24 Feb 2020, In : Mathematics. 8, 14 p., 299.

    Research output: Contribution to journalArticle

    Open Access
  • 3 Downloads (Pure)

    Time-dependent probability density functions and information geometry of the low-to-high confinement transition in fusion plasma

    Kim, E. & Hollerbach, R., 24 Apr 2020, In : Physical Review Research. 2, 2, 6 p., 023077.

    Research output: Contribution to journalArticle

    Open Access
  • 1 Downloads (Pure)

    Comparing Information Metrics for a Coupled Ornstein–Uhlenbeck Process

    Heseltine, J. & Kim, E., 8 Aug 2019, In : Entropy. 21, 8, 16 p., 775.

    Research output: Contribution to journalArticle

    Open Access
  • 2 Citations (Scopus)
    9 Downloads (Pure)
    Open Access
  • 3 Citations (Scopus)
    3 Downloads (Pure)


    STFC Consolidated Grant

    Eun-jin Kim (Reviewer)
    Mar 2020Apr 2020

    Activity: OtherReviewer of proposals for funding

    Self-organisation out of disorder – L-H transition

    Eun-jin Kim (Speaker)
    5 Feb 2020

    Activity: Talk or presentationInvited talk

    Variability and information length

    Eun-jin Kim (Invited speaker)
    25 Apr 2019

    Activity: Talk or presentationInvited talk

    EPSRC standard grant

    Eun-jin Kim (Reviewer)
    Oct 2019

    Activity: OtherReviewer of proposals for funding

    Complexity and information length

    Eun-jin Kim (Speaker)
    6 Jun 2019

    Activity: Talk or presentationInvited talk


    Variability and Self- Organisation in Stellar Evolution

    Eun-jin Kim (Recipient), 23 Mar 2018

    Prize: Fellowship awarded competitively