job

Dr John Biggins (supervisor) and Prof Mark Warner FRS (co-supervisor) are searching for a talented theorist with interests in mechanics and geometry to work on the design of soft liquid crystal elastomer (LCE) machines. The studentship is part of a new Marie Sklodowska-Curie training network called storm-bots, which will encompass 13 students across Europe working on the design and creation soft LCE machines. The soft, anisotropic materials of the project, liquid crystal elastomers (LCEs) and glasses, contract along their director on heating/illumination.

Applications are invited for the post of Research Associate (RA) in a project sponsored by the National Supercomputing Mission (NSM) entitled “3D elastodynamic fracture simulations” supervised by Prof. Ranjith Kunnath. NSM is a joint initiative of the Department of Science and Technology (DST) and Ministry of Electronics and Information Technology (MeITY). 

Eligibility:

Ph.D. in Engineering/Mathematics/Physics with background in the area of Applied Mechanics and/or High Performance Computing

The Multiscale Materials Modelling Team in WMG (University of Warwick), led by Dr Figiel, is currently seeking a Research Fellow to carry out research in the area of Computational Micromechanics of Solid-state Batteries. This post is part of a large consortium SOLBAT (https://www.solbat-faraday.org/), focussed on developing next-generation solid-state batteries, which has been led by the University of Oxford, and funded by the Faraday Institution (https://faraday.ac.uk/).

One postdoc position is available in Wang Research lab (https://www.wangresearchlab.com) in the Department of Materials Science and Engineering (MSE) and the Institute of Materials Science (IMS) at the University of Connecticut (UConn).

We are now seeking to fill an academic position at Lecturer/Senior Lecturer/Reader rank for a successful academic to join the Division of Systems, Power and Energy Engineering. We specifically seek a candidate who can potentially contribute to the James Watt School of Engineering in the area of modelling of materials and/or processes at lower length scales where continuum assumption ceases to be valid.

A new PhD position is availale at Tribology and Suface Mechanics (TSM) group for Fall 2021/Spring 2022. Candidates with strong mechanical engineering background on both experimental and analytical works are encouraged to apply. In particular, experience on metalic alloys, coatings, addtivie manufacturing, surface engineering and mechanics, contact fatigue, corrsoion and finite element anaylses is a plus.

We are looking for a doctoral student to work on numerical modeling of ridging of sea ice. Ridging is central to understanding the behavior of sea ice from scales varying from tens of meters up to hundreds of kilometers and has a close connection to sea ice dynamics models, which have an important role in predicting the effects of climate change. The applicant should be advanced in solid and computational mechanics and have at least average programming skills.

The research — We use x-ray phase contrast imaging (XPCI) to study deformation and fracture of materials under dynamic loading on microsecond and sub-microsecond time scales. For example, we might like to measure the change in pore size distribution of a granular material such as sandstone under impact loading. Answering this question requires us to address theoretical and computational questions of XPCI image interpretation, and also poses an interesting challenge to the experimentalist.

There is an immediate opening for a post-doctoral scholar in the Hopkins Extreme Materials Institute (http://hemi.jhu.edu) at Johns Hopkins University, working with Prof. K.T. Ramesh (ramesh [at] jhu.edu (ramesh[at]jhu[dot]edu)) and Prof. Todd Hufnagel (hufnagel [at] jhu.edu (hufnagel[at]jhu[dot]edu)).

Applications are invited for a Postdoctoral Fellow research position in modelling fracturing with thermal-hydro-mechanical (THM) coupling processes at Wuhan University. Code writing ability and strong background in numerical modelling are required. Specific knowledge of TOUGH2 and parallel processing is preferred. Applicants must hold a PhD in Petroleum Engineering, Civil Engineering, Mechanical Engineering, Applied Mathematics, or a related discipline.