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Msca Phd Fellow in Developing Efficient Methods for
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**The University | About us...**
Physics, Accuracy and Machine Learning: Towards the next generation of Molecular Potentials.
**11 PhD positions are available in the Marie Sklodowska-Curie Doctoral Network**
PHYMOL brings together leading experts in the fields of molecular simulations, quantum chemistry, crystal structure prediction, intermolecular modelling, spectroscopy, machine-learning, and nano-clusters, from 12 academic institutes & laboratories, and 4 industrial entities, in an ambitious programme of research and training to develop a new generation of researchers in the field of molecular modelling.
**Your Role...** Available projects**
- DC1: Towards the accurate description of the induction energy in SAPT
- DC2: Intermolecular interactions in excited states: the CO-CO* and other excimers
- DC3: Collision-induced absorption and high-resolution spectra calculated from ab initio potentials
- DC4: Reparametrisation of semiempirical models
- DC5: Development of intermolecular force-fields with many-body dispersion interactions
- DC6: Consistent treatment of polarization and charge-delocalization in many-body systems
- DC7: How intermolecular interactions shape polymorphic energy landscapes
- DC8: State-of-the art modelling of new quantum materials: surface-supported metal atomic quantum clusters
- DC9: Implicit machine-learning solvent models for confined spaces.
- DC10: Adapting state-of-the-art modelling of new quantum materials to industry-standard open-source big data analysis tools.
- DC11: Density-mapped FFs: Rapid prototyping of force-fields based on physical and ML mappings onto the electronic density
**What we expect from you ** Requirements & Eligibility**
- International applicants with a strong interest in the scientific goals of PHYMOL.
- Applicants should hold a MSc or equivalent degree in the field of physics, chemistry, or chemical engineering.
- Experience & keen interest in programming (Python/C++/Fortran) is essential.
- Further eligibility requirements and the selection process are described on our recruitment page.
**How to apply?**
Job Reference: UOL05342
