19 Mathematics PhD positions in Phd in Switzerland

PhD candidate to investigate the Impact of Consumer Flexibility on planning of multi-energy districts

strong programming, modelling and data analysis skills in Python and/or R. Experience with the formulation and implementation of mathematical optimization problems can give you a competitive edge. The

PhD Position in Physics-Informed Machine Learning For Mechanics of Material Failure

conferences.Requirements:- Passion about working at the intersection of mechanics and machine learning.- Bachelor/Master’s degree in Civil Engineering, Mechanical Engineering, Applied Mathematics, Computational Science or

PhD Position in Physics-Informed Machine Learning For Mechanics of Material Failure

the intersection of mechanics and machine learning. - Bachelor/Master’s degree in Civil Engineering, Mechanical Engineering, Applied Mathematics, Computational Science or related areas. - Background in computational

PhD candidate to investigate the Impact of Consumer Flexibility on planning of multi-energy districts

. Experience with the formulation and implementation of mathematical optimization problems can give you a competitive edge. The candidate should have excellent written and oral communication skills in English

PhD position in the field of Quantum Machine Learning (Prof. A. Lucchi, Dr. Stefan Woerner and Dr. David Sutter)

range of research groups and institutes across different faculties. The position is offered in the Department of Mathematics and Computer Science. About IBM Research - Zurich: The IBM Research Laboratory

PhD position in computer-aided catalyst design

be carried out in collaboration with groups in theoretical chemistry, computer science and applied mathematics. Job description As a PhD student in our growing team, you will perform quantum-chemical

PhD student position in Computer Vision

of Prof. Isabelle Marthot-Santaniello (Department of Ancient Civilizations) and of Prof. Ivan Dokmanić (Department of Mathematics and Computer Science ) with support from the Center for Data Analytics (CeDA

PhD Position in Machine Learning Seismology

in machine learning, seismic monitoring and earthquake seismology. The ideal candidate should: A Master’s degree in Earth Sciences / Physics / Mathematics / Computer Sciences or a related discipline is

PhD Position in Machine Learning Seismology

Earth Sciences / Physics / Mathematics / Computer Sciences or a related discipline is required. Applicants must have obtained their Master's degree by September 2024 A strong foundation in analyzing large

PhD Position in Solid-State NMR

a bonus but not a requirement Be interested in the intersection between Chemistry, Physics, and Mathematics Be interested in theory, numerical simulations and experimental implementation of pulse