Several PhD positions in machine-learning methods for materials science are available from September 2019 in the School of Physics and the CRANN Institute (www.crann.tcd.ie) at Trinity College Dublin (Ireland).
4-year postdoc position is available from September 2019 in the School of Physics and the CRANN Institute (www.crann.tcd.ie) at Trinity College Dublin (Ireland).
Professorship in theoretical condensed matter physics
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Post doctoral position in molecular simulation at IFP Energies nouvelles / Laboratoire de Chimie-Physique Université de Paris Sud
Starting Date: ASAP
Project: Coarse Grained modeling of transport properties of electrolyte complex systems for industrial applications
Many industries are faced with complex systems exhibiting a wide range of characteristic time and length scales. This is especially the case for electrolytes present in emulsions, heterogeneous fluids, and in general all multiphasic systems containing interfaces, encountered among others in industrial applications and in particular in electrochemical systems. Experimental measurements of thermophysical properties on such systems are not always easy or even possible. The use of molecular simulation methods is an alternative solution in order to assess relevant properties and to allow a better understanding of the physical phenomena involved.
Among the possible simulation methods, Coarse Grained (CG) modeling such as Dissipative Particle Dynamics (DPD) seems to be the best method for simulating the complex fluids considered. In the proposed post-doctoral work, a combined use of CG approaches with DPD and Monte Carlo simulation schemes will be investigated. The main objective of this project is to propose a consistent methodology to build a mesoscopic model (DPD) capable of predicting the transport properties (self-diffusion, Fickian scattering, viscosity, ionic conductivity, etc.) of ions in aqueous solutions.
The post-doc candidate is expected to have an excellent knowledge of molecular simulation techniques (atomistic and/or mesoscopic), chemical physics or physical chemistry background via Chemistry or Physics or Chemical Engineering studies. Computer programming in Fortran, C or C++, knowledge of statistical mechanics and molecular simulation software/methods will be appreciated. The candidate is expected to have good interpersonal communication skills.
The position is available for an initial period of one year that can be possibly extended, based on progress. The position is located in Rueil-Malmaison (France) in close collaboration with the Laboratoire de Chimie-Physique (LCP) at Paris Sud University. Gross salary will be about 3000 € / month.
Interested candidates should contact Carlos Nieto-Draghi at email@example.com or Bernard Rousseau at firstname.lastname@example.org. The complete application should include: (i) a motivation letter, (ii) a detailed CV, (iii) two suggested names of referees.
One post-doctoral position open at EPFL, Lausanne, Switzerland
Postdoc Position at Univ. Barcelona, in Mesoscale Modeling in Nanostructured Materials
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Postdoc/PhD/Master positions in computational biology and modern drug discovery at the Shenzhen Institute of Advanced Technology (SIAT), Chinese Academy of Sciences
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Research Associate at the Hamburg University of Technology, Germany
At the Institute of Polymers and Composites (https://www.tuhh.de/alt/kvweb) at the Hamburg University of Technology the following position – limited for 3 years – is to be filled at the earliest possible date
Research Associate / Research Associate
Fee group 13 TV-L, code no.: D-19-17
The FHH promotes equality between women and men. Women are under-represented in the area for which this position is advertised within the meaning of § 3 Sec. 1 of the Hamburg Equal Opportunities Act (HmbGleiG). We therefore expressly encourage women to apply. They are given priority in the event of equal suitability, competence and professional performance. Severely disabled and equal disabled persons have priority over applicants of equal aptitude, competence and professional performance who are not privileged by law.
Field of activity:
Doctorate within the subproject A5 “Infiltration of amorphous/hierarchical carbons” in the newly established research training group 2688 “Processes in natural and technical Particle Fluid Systems – PintPFS”.
The Research Training Group, which was founded by eight scientists from the TUHH in the fields of civil engineering, process engineering, mechanical engineering and materials science, is dedicated to the investigation of various processes in particle-fluid systems (PFS). These are subdivided into natural PFS, e.g. soils, and technical PFS, e.g. nanoporous substances such as aerogels, and are examined and researched using experimental and numerical methods. Special about the Research Training Group is the promotion and research of young scientists in a highly interdisciplinary environment, in which the various research laboratories at the TUHH (e.g. the Electron Microscopy unit) and various cooperation partners such as the Helmholtz Centre Geesthacht (HZG) and the German Electron Synchrotron (DESY) are integrated.
An excellent support and promotion of the scientific personnel as well as an international scientific exchange is guaranteed by an extensive guest and workshop program, a specialized lecture program and furthermore by interdisciplinary qualification possibilities of the Graduate Academy for Technology and Innovation of the TUHH as well as by Pro Exzellenzia for the further education of women in the natural sciences.
The infiltrability of microporous materials plays a decisive role in the storage capacity of batteries and supercapacitors. By investigating the processes on the sub-nanometer scale using ab-initio and molecular dynamics simulations, these will be investigated at the atomic level and possible optimization strategies identified.
First, realistic atomic models of amorphous and hierarchical carbon structures are developed for further simulation. The influence of different functional groups (e.g. carboxyl or hydroxyl groups) will be investigated in detail. Hierarchical materials, such as the in-house produced carbon nanotube forests, are investigated in close cooperation with the institute’s experimenters.
Completed scientific university studies, in particular in physics, physical chemistry, theoretical chemistry, materials science or similar (preferably with specialisations in physics informatics or chemoinformatics).
Special knowledge in the field of free energy calculation using classical molecular dynamics simulations, e.g. with LAMMPS and metadynamics, or density functional theory simulations, e.g. with VASP, as well as very good knowledge of at least one programming language (preferably C, C++, Python) is required. Very good written and oral English would be advantageous.
For further information, please contact Prof. Meißner at +49 40 42878-2580.
Applications with a curriculum vitae in table form and the usual documents must be sent by 28.02.2019 stating the identification number D-19-17 to:
Hamburg University of Technology
Personnel Department PV32/G –
21071 Hamburg, Germany
Or by e-mail to email@example.com
Due to a large number of applications, the Technical University of Hamburg can only return application documents that are accompanied by a sufficiently stamped and addressed self-addressed envelope. Please do not submit originals.