Emplois actuels liés à Msca Phd Fellow in Developing Efficient Methods for - Luxembourg - Université du Luxembourg
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Phd Position in Psychology
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Luxembourg Université du Luxembourg Temps pleinThe** University of Luxembourg** is an **international research** university with a distinctly **multilingual** and **interdisciplinary** character. The University was founded in 2003 and counts more than 6,700 students and more than 2,000 employees from around the world. The University’s faculties and interdisciplinary centres focus on research in the...
Msca Phd Fellow in Developing Efficient Methods for
il y a 1 mois
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?**
**Benefits**
- Cutting-edge science in an international collaboration in the UK/EU/US.
- Generous remittance: 1) _Living allowance_ of €3,400 (country correction coefficient applies), 2) _Mobility allowance_ of €600, 3) _Family allowance_ (€660), if applicable. Employer costs and other deductions depend on the recruiting organisation.
**Contacts**
Funded by the EU and UKRI.
