Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Employer
- Delft University of Technology (TU Delft)
- National University of Singapore
- Nanyang Technological University
- University of Sheffield
- Argonne
- Oak Ridge National Laboratory
- Umeå University
- AALTO UNIVERSITY
- Aarhus University
- Babes-Bolyai University
- Chalmers University of Technology
- ELETTRA - SINCROTRONE TRIESTE S.C.P.A.
- European Magnetism Association EMA
- FAPESP - São Paulo Research Foundation
- Free University of Berlin
- Grenoble INP - Institute of Engineering
- Hanyang University
- Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association
- ICMAB
- ICN2
- Institut Català de Nanociència i Nanotecnologia
- Institute of Fundamental Technological Research Polish Academy of Sciences
- Karlstad University
- Monash University
- NTNU Norwegian University of Science and Technology
- Stockholm University
- The University of Queensland
- Tufts University
- Umeå universitet
- Universidade do Minho
- University of Birmingham
- University of Central Florida
- University of Girona (UdG) - Institute of Computational Chemistry and Catalysis (IQCC)
- University of Kansas
- University of Leeds
- University of North Carolina at Chapel Hill
- University of Nottingham
- University of Nottingham;
- University of Otago
- University of Southern California
- University of Sydney
- University of Texas at Austin
- University of Warwick;
- Université de Bordeaux / University of Bordeaux
- 34 more »
- « less
-
Field
-
. About You Completion or near completion of a PhD in the fields of chemistry, chemical engineering, materials engineering, physics or similar field; Demonstrated expertise in fabrication and
-
, lifecycle assessment and embodied-carbon modelling applied to packaging and assembly. All four cross-cutting constraints — design-for-test (DfT), design-for-power-delivery (DfP), design-for-security (DfS) and
-
position within a Research Infrastructure? No Offer Description Activities and context: The fellow will develop machine-learning interatomic potentials (MLPs), trained on density functional theory-DFT data
-
-throughput first-principles (DFT/MD) simulations, and generative AI to predict, interpret, and design materials for energy storage, energy conversion, and electronic applications. The successful candidate will
-
carry out analyses using vibrational/electronic static and transient spectroscopy • You conduct DFT calculations # Organic synthesis • You synthesize substrates • Based on our
-
of Prof. Georg Madsen, with regular shorter research stays at Aarhus University. The project combines density functional theory (DFT), machine-learned force fields and atomistic simulations to uncover how
-
. Mentorship: Assist in supervising 1–2 PhD students or junior researchers and support their research development. Job Requirements: A Master’s or PhD degree in Chemistry, Chemical Engineering, Materials Science
-
• A PhD degree in Materials Science, Chemistry, Chemical Engineering, Physics, or a related field. Candidate who is in the final stages of PhD studies (i.e. submitted thesis; pending oral defence
-
• A PhD degree in Materials Science, Chemistry, Chemical Engineering, Physics, or a related field. Candidate who is in the final stages of PhD studies (i.e. submitted thesis; pending oral defence
-
will elucidate how silicon disrupts copper wetting and diffusion. A central aspect of this project is the development of a Density Functional Theory (DFT)-accurate machine-learned interatomic potential