# LPTMS postdoc: Postdoctoral position in Soft Matter/Statistical Physics and Biology

Postdoctoral position available

We welcome applications from postdoctoral candidates interested in frustrated self-assembly of irregular objects and other problems at the interface between Soft Matter/Statistical Physics and Biology. Possible other projects include collaborations with Niels Holten-Andersen (MIT) to predict the viscoelastic behavior of biomimetic gels, Olivia du Roure and Julien Heuvingh (ESPCI) and Cécile Leduc (Institut Pasteur) to study the self-organization of cytoskeletal networks and with Aurélien Roux (U. of Geneva) on proteinmembrane interactions. More details at

www.lptms.u-psud.fr/membres/mlenz/research

The postdoc will join a dynamic group spearheading research at the Soft Matter/Biology interface within a world-class Statistical Mechanics lab. The position presents ample opportunities for strong interactions with local and international collaborators. Autonomous interactions with experimentalists and the development of creative independent projects are encouraged. Depending on project and the candidate's expertise and preferences, the work might range from analytical to largely numerical. Teaching and outreach opportunities will also be provided.

The postdoc will be employed by CNRS, France's largest and most recognized research institution. Funding is available for at least two years of employment. The hosting laboratory, LPTMS, is joint unit of CNRS and Université Paris-Sud with a markedly international atmosphere. Located in Orsay, it is 25 minutes away from central Paris via a frequent, direct commuter train. Depending on the project, the postdoc may spend a significant fraction of her or his time at PMMH, an ESPCI laboratory located in central Paris where the PI has a secondary office.

The net salary for the position ranges between 2000 €/month and 2900 €/month depending on experience. Benefits include free full healthcare coverage for the postdoc and his or her dependents, generous vacations, 16-weeks fully-paid maternity leaves, free schooling from age 3 and subsidized child care for younger children. CNRS additionally subsidizes vacations, sports and cultural activities for its employees.

The position will begin preferably in the Fall of 2019, although later appointments are also possible. Review of applications will continue until the positions are filled. For primary consideration, applicants are encouraged to apply before June 20st 2019. The successful candidate will hold a Ph.D. by the start date and have strong background and research achievements in Theoretical Soft Matter, Biological and/or Statistical Physics. Applicants coming from Mechanics and Computational Physics will also be considered. Applications will comprise the names of three references, an application letter, a CV and a publications list including preprints. Informal inquiries welcome.

Contact:

Martin Lenz

martin.lenz@u-psud.fr

# LPTMS postdoc: Postdoctoral position in theoretical physics

### Missions :

Le poste est financé avec les moyens du Conseil Européen de la Recherche dans le cadre du projet LoCoMacro (Local Control of Macroscopic Properties in Isolated Many-body Quantum Systems), présenté par Maurizio FAGOTTI à la session 2018 du ERC Starting Grants. Ce projet de recherche porte sur l'étude des effets d'inhomogénéités sur les systèmes hors d'équilibre après une soi-disante trempe quantique globale. C'est-à-dire l'évolution temporelle hors-équilibre d'états avec une énergie significativement plus élévée que l'état fondamental, pour lesquelles, généralement, une description statistique devient appropriée. Une particularité de LoCoMacro est l'intérêt porté aux effets globaux d'inhomogénéités qui se trouvent seulement dans une petite partie du système. Le projet s'intéresse à la fois aux modèles exactement solubles qu'on examinera avec des méthodes analytiques, qu'aux systèmes génériques lesquelles sont plus facilement abordés avec des méthodes numériques. Le groupe de recherche sera composé de chercheurs aux capacités hétérogènes et l'échange des savoirs et découvertes sera donc un aspect clé de son activité.

### Activités :

Le postdoc contribuera à l'étude numérique et analytique de l'évolution temporelle des systèmes quantiques à plusieurs corps à basse dimension en présence d'inhomogénéités.

### Compétences :

Les candidats doivent posséder un doctorat en physique. D'autres critères essentiels à ce poste sont l'intérêt pour la dynamique hors équilibre et la maîtrise des méthodes numériques pour étudier l'évolution du temps dans les systèmes quantiques à plusieurs corps à basse dimension (en particulier les techniques de réseaux de tenseurs); le candidat idéal est un chercheur indépendant qui souhaite améliorer les méthodes existantes et éventuellement développer de nouvelles techniques pour attaquer efficacement les problèmes hors équilibre sans invariance translationnelle.

Une bonne maitrise de l'anglais parlé et écrit est requise.

### Contexte de travail :

Le candidat retenu travaillera sous la supervision de Dr Maurizio FAGOTTI et bénéficiera de l'environnement de recherche stimulant du Laboratoire de Physique Théorique et Modèles Statistiques (LPTMS).

Le Laboratoire (créé en 1998) est une Unité Mixte de Recherche CNRS - Université Paris-Sud et héberge une cinquantaine de chercheurs. Les thématiques sont centrées autour de la physique statistique à la fois dans ses applications au cœur de la physique mais aussi dans ses ouvertures vers d'autres disciplines.

Etant une unité de recherche commune entre le CNRS et l'Université Paris-Sud, le laboratoire a accès à des installations informatiques telles que le «mésocentre informatique» Paris-Sud et, pour les calculs à grande échelle, aux installations nationales telles que IDRIS.

### Informations complémentaires :

Le salaire suivra les règles standard du CNRS et dépendra de l'expérience. En plus du salaire, un généreux fond pour les voyages est prévu. Le candidat retenu devrait prendre ses fonctions au cours de 2019; la date précise sera fixée d'un commun accord.

Les candidatures devront obligatoirement comporter:

- un curriculum vitae et les coordonnées d'au moins deux personnes susceptibles de donner un avis motivé sur le candidat; dans le même document, fournir une liste des publications comprenant une sélection de deux ou trois publications pour lesquelles l'importance du travail est discutée et la contribution du candidat est soulignée;

- une lettre concise de motivation décrivant l'intérêt du candidat pour le projet de recherche.

Toute candidature incomplète ne sera pas examinée.

Date limite de réception des candidatures: 14/04/2019.

*All applications must transit via the CNRS portal : *

https://emploi.cnrs.fr/Offres/CDD/UMR8626-MAUFAG-003/Default.aspx

# LPTMS PhD Proposal: inhomogeneous systems out of equilibrium

### Responsable: Maurizio FAGOTTI + 33 (0)1 69 15 32 64

A fundamental concept in statistical physics is that the equilibrium properties of systems with a huge number of degrees of freedom can be described by few parameters, first and foremost the temperature. The latter can be tuned to modify the physical properties, and even the forms in which matter manifests itself, so-called phases of matter (e.g. solid, liquid, etc.). This generally requires a global control of the system, but there are also situations in which a local perturbation is sufficient to induce a phase transition. For example, pure water can be supercooled below its normal freezing point, remaining liquid; it is then sufficient to put the liquid in contact with a small piece of ice to induce global freezing.

When the system is not at equilibrium, its description becomes more complicated; nevertheless, a statistical description was shown to emerge when a quantum many-body system, isolated from the rest, is left to evolve for a long time. Being isolated, the system can not relax to an equilibrium state, but, when scrutinised locally, it appears as if it were prepared at an effective temperature or in some exotic state of matter. Arguably, the best understood situation is a quantum quench of a global parameter in a translationally invariant quantum many-body system.

In this thesis we will go beyond the assumption of translational invariance, studying the effects of inhomogeneities on the nonequilibrium dynamics after quantum quenches.

To apply, please refer to http://lptms.u-psud.fr/maurizio-fagotti/jobs/

# LPTMS PhD Proposal: Models and Time Series Analysis for Human Sports Performance

### Responsable: Thorsten Emig + 33 (0)1 69 15 31 80

This project is directed to students with a strong background in quantitative methods from statistical physics, and ideally some knowledge of machine learning, computational physiology and statistical analysis of large data. Interest in sports performance would be useful. Expected are both analytical and computer programming

skills.

Models for human sports performances of various complexities and underlying principles have been proposed, often combining data from world record performances and bio-energetic facts of human physiology. For running, we were the first to derive an observed logarithmic scaling between world record running speeds and times from basic principles of metabolic power supply. We showed that various female and male record performances (world, national) and also personal best performances of individual runners for distances from 800m to the marathon are excellently described by our approach, with mean errors of (often much) less than 1%.

Main goal of this thesis project is the data-driven modeling of physiological and biomechanical processes in endurance sports, in particular running. The physiological and mechanical response of humans to exercise constitutes a complex system that involves many dynamical variables. Examples are the beat-to-beat intervals between heart beats, oxygen uptake, and stride frequency to name a few. These variables show inherent fluctuations that can be correlated.

Time series analysis can be used to detect these correlations which can show fractal scaling. This has been demonstrated for patients with cardiac diseases by Goldberger (see references below). Methods include detrended fluctuation analysis (DFA), multifractal DFA, EMD, multiscale entropy, and transfer entropy.

Models for complex physiological systems shall be constructed by learning from data. For example, running performance has been studied using recent advances in machine learning (see reference by Blythe and Kiraly). One aspect of this project is to apply machine learning to complex physiological data for endurance exercise and compare the so obtained results to findings from other methods.

This project potentially involves collaborations with Prof. A. Goldberger (Harvard Medical School) and Prof. E. Räsänen (TUT, Finland).

The official application can be found on the web site of Ecole Doctorale at https://www.edpif.org/fr/recrutement/prop.php

You can also contact me directly at thorsten.emig@u-psud.fr or at 01.69.15.31.80.

# LPTMS PhD Proposal: Amorphous materials under stress

### Responsable:

Alberto ROSSO + 33 (0)1 69 15 31 79

Most of the materials employed in our everyday life have the amorphous structure of a collection of randomly packed particles. Their density and the strength of their interactions strongly depend on the material and are at the origin of a large spectrum of physical properties, much richer than the one of cristalline matter.

For example, under shear, gels and foams can flow as liquids, while glasses and ceramics break into solid pieces. Today we know that these behaviours are the macroscopic manifestations of genuine dynamical phase transitions anticipated by sudden reorganisations called avalanches. Avalanches are recorded at very different scales, from the micrometers of plastic readjustments to the kilometres of huge earthquakes. In analogy with what we know for equilibrium, these divergent scales indicate universality and strong fluctuations, but the dynamical transition of driven systems are much richer and mysterious due to effect of the preparation and to the temporal correlations.

In this thesis we will study the avalanche dynamics of amorphous matter using the tools developed in the context of disordered systems and the statistics of rare events. Connections with (many) body localisation physics will be explored.

# LPTMS PhD Proposal: Quantum entanglement in fermionic systems via random matrix theory

### Responsables:

Satya MAJUMDAR + 33 (0)1 69 15 64 65

Grégory SCHEHR + 33 (0)1 69 15 76 41

During the last few years, it has been shown that non-interacting fermions in presence of a trap can be studied using the powerful techniques of random matrix theory, and more generally of determinantal point processes. This toolbox allowed to study analytically the interplay between quantum and thermal fluctuations in challenging physical situations where standard approaches of many-body physics, like the Local Density Approximation, fail.

Currently, there is an intense activity, both experimental and theoretical, concerning the relation between quantum entanglement and the thermodynamic entropy in many-body quantum systems. Many results remain currently conjectural. In this project, we would like to explore these questions, for instance the quantum entanglement at finite temperature, in a class of solvable models of trapped fermions, that are known to be related to RMT models at zero temperature.

# LPTMS PhD Proposal: Extreme Value Statistics in Stochastic Processes

### Responsables:

Satya MAJUMDAR + 33 (0)1 69 15 64 65

Grégory SCHEHR + 33 (0)1 69 15 76 41

The extreme value statistics in stochastic processes is a subject of growing interest with applications from climate science to finance. Given a stochastic time-series over a given time interval [0,t], the typical questions are: what is the statistics of the maximum (or minimum) value of the process in this time window, at what time the maximum (or the minimum) is achieved, what is the time gap between the maximum and minimum etc.? Even for simple stochastic processes such as a one dimensional Brownian motion, these questions are often nontrivial. In the thesis, these questions would be addressed for a Brownian motion to start with, and progressively other types of stochastic processes would be studied.

# LPTMS PhD Proposal: Mean field games

### Responsable: Denis ULLMO + 33 (0)1 69 15 74 76

Mean field games present a new area of research at the boundary between applied mathematics, social sciences, engineering sciences and physics. It has been initiated a decade ago by Pierre-Louis Lions (recipient of the 94 Fields medal) and Jean-Michel Lasry as a new and promising tool to study many problem of social sciences, and with an explicit mention of the influence of concepts coming from physics (the notion of “mean field approximation”). This field has since then grown significantly, and after a period where mainly stylized models where introduced, we witness now the appearance of (necessarily more involved) mean field game models closer to practical applications in finance, vaccination policies, or energy management through smart electronics.

Up to now, the development of Mean Field Games has mainly originated from the mathematics and economic communities. Mean Field Games theory is, however, by essence a multi-disciplinary field for which the input of physicists is much needed. Indeed, as important as they are, the studies of internal consistency and the numerical schemes developed by mathematicians cannot replace the deeper

understanding of the behavior of these models, obtained in particular through powerful approximation schemes, that physicists (and essentially only them) know how to provide.

For physicists a good “entry point” to the problematic of Mean Field Games is through the formal, but deep, connection between Mean Field Games and the nonlinear Schroedinger (or Gross-Pitaevskii) equation. This connection makes it possible to import to the field of Mean Field Games a variety of tools (ranging from exact methods and approximation schemes to intuitive qualitative descriptions) which have been developed along the year by physicists when studying interacting bosons or gravity waves in inviscid fluids.

The general subject of the proposed thesis is the study of Mean Field Games from a physicist point of view, that is with an objective to provide a true understanding (through the identification of the relevant parameters and scale and the development of approximation schemes in the regimes of interest) of the solutions of Mean Field Games equations. More specifically, two possible directions the proposed PhD could take would be:

1. The study of phase transition in Mean Filed games.

2. To use the knowledge obtained on simple models to study more complicated Mean Field Games, and in particular address more realistic (less stylized) Mean Field Games.

These studies should imply a mix between analytical and numerical works, somewhat more shifted on the analytical side.

# LPTMS PhD Proposal: Renormalization group analysis of frustrated self-assembly

### Responsable: Martin LENZ + 33 (0)1 69 15 32 62

Self-organization is key to the function of living cells - but sometimes goes wrong! In Alzheimer's and many other diseases, normally soluble proteins thus clump up into pathological fiber-like aggregates. While biologists typically explain this on the grounds of detailed molecular interactions, we have started proving that such fibers are actually expected from very general physical principles. We thus show that geometrical frustration builds up when mismatched objects self-assemble, and leads to non-trivial aggregate morphologies, including fibers.

While our current numerical simulations let us monitor the aggregate formed by copies of a given irregular particle, we do not yet understand its dimensionality from first principles. Here we will tackle this problem using ideas inspired by the renormalization group. We will thus represent the shape of the particle as an orientation-dependent coupling matrix between two neighbors. By repeatedly applying a decimation procedure a la Kadanoff to the system, we will drastically reduce the enormous

space of all possible coupling matrices to a few fixed points corresponding to finite clusters, fibers, sheets and crystals. An internship will start with a transfer matrix calculation applying this procedure to a 1D system. A PhD will involve some non-trivial 3D discrete geometry and will likely require delving into

some linear algebra to understand the properties of our matrix universality classes.

Beyond protein aggregation, this project opens investigations into a new class of ''disordered'' systems where the disorder is carried by each identical particle instead of sprinkled throughout the system, and will help define the much-debated notion of frustration in dilute systems. This collaboration with Pierre Ronceray (Princeton U.) will ideally lead to collaborations with the experimental groups of Seth Fraden (Brandeis U.) and Friedrich Simmel (T.U. Munich).

More detail in Lenz_LPTMS_Internship&Thesis

# LPTMS Internship Proposal: Searching for topological physics in dissipative Ytterbium gases

Dissipation is ubiquitous in experiments on quantum matter and it typically reduces the timescales

over which pristine quantum phenomena can be investigated or lowers the quality of the

measurements. It’s an “enemy” that has to be fought harshly and roughly. In this internship we

will change the paradigm and consider dissipation as a resource. Dissipation can induce genuine

and interesting quantum effects (see for instance Ref. 1) and we are interesting in proposing

realistic experiments that can reveal them.

We will focus on the experiments on ultracold ytterbium gases that are currently realized in

several laboratories around the world, among which those at Collège de France in Paris (see

Ref. 2). The goal of this internship is to characterize theoretically the interplay between (i) the

dissipative mechanisms that distinguish these atoms and (ii) the unavoidable presence of atomatom

interactions (Ref. 3 presents some first data obtained in Hamburg, Germany). We will

inspect whether the dissipation-induced topological properties presented in the model of

reference 4, where interactions are neglected, can be observed in Ytterbium gases, where

interactions cannot be neglected. The main investigation tool will be advanced numerical

algorithms based on matrix-product states, that allow for the study of dissipative many-body

systems (see Ref. 5 for an article where such methods have been used to characterize dissipative

topological models).

References:

1. F. Verstraete, M. W. Wolf and J. I. Cirac, Nature Physics 5, 633 (2009).

2. R Bouganne et al., New J. Phys. 19, 113006 (2017).

3. K. Sponselee et al., arXiv:1805.11853 (2018).

4. M. S. Rudner and L. S. Levitov, Phys. Rev. Lett. 102, 065703 (2009).

5. F. Iemini, D. Rossini, R. Fazio, S. Diehl and L. Mazza, Phys. Rev. B 93, 115113 (2016)

Director:

Leonardo MAZZA

leonardo.mazza@u-psud.fr

https://sites.google.com/site/leonardmaz/