mercredi 8 janvier 2020

PhD Position at Queen Mary London on active search strategies

A PhD project is available at Queen Mary University of London under the supervision of Dr. Rainer Klages, and in collaboration with Giorgio Volpe from UCL and myself.

The project is about the study of active search strategies based on random walks presenting anomalous diffusion properties. The expertise required comprises mathematical modelling, stochastic processes, statistical physics, computer simulations.

Deadline is coming soon: January the 31st, 2020.

For further details, see below and the following webpages:
http://laral.istc.cnr.it/trianni/index.php/2020/01/07/phd-position-at-queen-mary-university-of-london/

https://www.qmul.ac.uk/maths/postgraduate/postgraduate-research/phd-projects/


Title: Active anomalous stochastic search

Supervisor: Rainer Klages, QMUL; Giorgio Volpe, UCL; Vito Trianni, ISTC

Contact: e-mail r.klages@qmul.ac.uk, web www.maths.qmul.ac.uk/~klages

Scientific fields: stochastic theory, statistical data analysis, computer simulations, statistical physics,
biomathematics, movement ecology

Key words: stochastic processes, anomalous diffusion, active particles, search, robotic swarms

Background: Biological dynamics are characterised by activity in the sense that energy is taken up from the environment and converted into motion [1]. Examples of self-propelled motion range from human movement, to foraging marine predators, to crawling biological cells. Active dynamics are very different from passive Brownian motion, where a tracer particle is driven by collisions with the surrounding fluid particles. Biological processes furthermore often exhibit anomalous dynamics characterised by long-term diffusion that is, again, very different from Brownian motion [2]. This reflects the spatio-temporal complexity of biological systems. Mathematically both active and anomalous dynamics are modeled in terms of advanced (persistent, non-Markovian, non-Gaussian) stochastic processes [1,2]. This project will cross-link these two very recent, new fields of research for understanding the search of targets like, e.g., food sources in a foraging process [3].

Project description: The warm-up will be to learn about L´evy walks, a famous fundamental class of anomalous stochastic processes [4]. Their diffusive properties should be understood analytically and explored numerically in simple search scenarios, formulated mathematically as first passage and first arrival problems. While much is known about these dynamics in one dimension, higher dimensional settings are at the forefront of research. This knowledge should be applied to understand new experimental data by G.Volpe (London) and V.Trianni (Rome) on biological and robotic L´evy walkers. The impact of biological activity and interactions between single particles on search efficiency should be explored by developing and analysing new stochastic models.

References:
[1] C.Bechinger, R.Di Leonardo, H.L¨owen, C.Reichhardt G.Volpe, G.Volpe, Rev.Mod.Phys. 88, 045006 (2016)
[2] R.Klages, G.Radons, I.M.Sokolov (Eds.), Anomalous Transport: Foundations and Applications (Wiley-VCH, Berlin, 2008)
[3] R.Klages, Search for food of birds, fish and insects, book chapter in: A.Bunde, J.Caro, J.Kaerger, G.Vogl (Eds.), Diffusive Spreading in Nature, Technology and Society. (Springer, Berlin, 2017)
[4] V. Zaburdaev, S. Denisov, J. Klafter, Rev.Mod.Phys. 87, 483 (2015)