Job announcements relevant to people interested in electronic structure calculations…
Due to the large number of posts recently, there is currently a delay of several weeks between posts being submitted and the corresponding emails being distributed to all users. Please bear with us while we try to improve this. In the meantime – and until this notice is removed – it would assist us considerably if you could submit only important and/or urgent posts and thus help to reduce the size of the mail queue. Under no circumstances should you resend posts multiple times when you find the emails are not distributed immediately.
In light of the Russian military offensive in Ukraine, we request that announcements relating to events, jobs and other activities associated with institutions supported by the Russian and Belarusian states are not posted to the Psi-k forum.
PhD in Atomic-scale modelling of Ionic-Liquids a ... (1 reply)
Closing date extended extended to September 2022.
Back to Job listings...
Location: Institut des Matériaux de Nantes Jean Rouxel (IMN) / Nantes Université, France.
Team / thematics: Physics of materials and nanostructures / Confined ionic liquids, ionogels
Supervisors: Jean Le Bideau, Co-advisors: Yann Claveau, Chris Ewels
This PhD will develop QM/MM modelling of confined ionic liquids, led by Yann Claveau (new lecturer in the PMN group in 2021) and Jean Le Bideau (head of confined liquids research in the lab). Ionic Liquids exhibit very interesting properties useful for fields including iontronics, catalysis, healthcare-related devices and energy storage (enhanced safety). Counter-intuitively, confining ionic liquids within a host matrix (a process under development for “all-solid” batteries and other devices) can significantly increase their ionic conductivity. The mechanism driving these effects is not yet understood.
This PhD position will aim to understand the underlying physico-chemical mechanisms at host / ionic-liquid interfaces using multi-model (Quantum Mechanics / Molecular Mechanics) multiscale (from Å to μm, from ps to μs) simulations, in order to develop optimal ionic conductivity in ionogel electrolytes. The problem will be tackled through two complementary approaches: modelling, to understand, and deep learning, to produce data.
Applicant Profile
• An excellent background in materials physics / physical chemistry / nanoscience (ranked in the top tier).
• Experience of atomic-scale modelling is a bonus: MD (LAMMPS) or DFT.
• Experience in programming is required.
• A strong sense of curiosity and exploration, preferring to try and fail sometimes rather than “sticking to the path”.
• Fluency in written and spoken English. French is an advantage but not essential.
• A team player with the ability and desire to collaborate with students on related projects.
Candidates should send a covering letter explaining why they are interested in the post, along with a comprehensive CV, to [email protected]. There are no restrictions to applying based on nationality, and we are a committed equal opportunities employer. Closing date for application: 17th July 2022, starting date: September/October 2022 (3 years)