Sort by
Refine Your Search
- 
                Country
- 
                Employer- MOHAMMED VI POLYTECHNIC UNIVERSITY
- ICN2
- KINGS COLLEGE LONDON
- University of California Berkeley
- Argonne
- CIC energiGUNE
- Eindhoven University of Technology (TU/e)
- Fundación IMDEA Nanociencia
- Iowa State University
- King's College London
- Shenzhen University
- University of Amsterdam (UvA)
- University of Amsterdam (UvA); Amsterdam
- University of Kansas
- University of Nottingham
- University of Oxford
- 6 more »
- « less
 
- 
                Field
- 
                
                
                Description Job Duties: Conduct the computational and theoretical research on magnetic and topological properties in van der Waals materials using Density Functional Theory (DFT) calculations, tight-binding and 
- 
                
                
                a closely related field within the past 3 years and be under 35 years old. A strong background in condensed matter theory is required. The applicant should be proficient in at least one of the 
- 
                
                
                , Physics, Computational Chemistry, Nanoscience, Chemical Engineering, or a related field. Strong background in modelling (electro)catalytic processes using periodic density functional theory (DFT) is 
- 
                
                
                Contribute to the preparation of scientific and technical reports. Develop and apply methodologies based on Density Functional Theory (DFT) to complex systems. Support simulation tasks and results analysis 
- 
                
                
                to) SIESTA (www.siesta-project.org) and its TranSIESTA functionality. SIESTA is a multipurpose first-principles method and program, based on Density Functional Theory, which can be used to describe the atomic 
- 
                
                
                networks and transformers. Practical experience with density functional theory (setups, convergence, interpreting outputs). Strong Python and deep-learning stack (preferably PyTorch); good software practices 
- 
                
                
                , chemistry, computational science, or a related field. Strong expertise in at least two of the following: density functional theory (DFT)/many-body methods, molecular dynamics (MD), machine learning (ML 
- 
                
                
                responsibilities for this position include the development of computational models to simulate scintillator properties using time-dependent density functional theory and Monte Carlo methods, analysis and 
- 
                
                
                properties of Li-rich three-dimensional materials for lithium battery cathodes using density functional theory (DFT), molecular dynamics, cluster expansion, machine learning computational techniques. This work 
- 
                
                
                . Anharmonic spectra for PAHs can be calculated using 2nd order Vibrational Perturbation Theory on Density Functional Theory derived Quartic Force Fields but are computationally very expensive when considering