Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- CNRS
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Virginia Tech
- Nature Careers
- Cornell University
- Technical University of Munich
- University of Luxembourg
- Delft University of Technology (TU Delft)
- Duke University
- Inria, the French national research institute for the digital sciences
- National Hellenic Research Foundation
- Northeastern University
- Universidade de Coimbra
- Aarhus University
- Argonne
- Central China Normal University
- Chalmers University of Technology
- Chalmers tekniska högskola
- Chinese Academy of Sciences
- Delft University of Technology (TU Delft); Published today
- ETH Zürich
- Forschungszentrum Jülich
- Fudan University
- INRAE
- Japan Agency for Marine-Earth Science and Technology
- Karlsruher Institut für Technologie (KIT)
- King Abdullah University of Science and Technology
- Lawrence Berkeley National Laboratory
- Linköping University
- Lunds universitet
- Massachusetts Institute of Technology
- Massachusetts Institute of Technology (MIT)
- NEW YORK UNIVERSITY ABU DHABI
- National Aeronautics and Space Administration (NASA)
- SUNY University at Buffalo
- South Dakota Mines
- Technical University of Denmark
- Texas A&M University
- The Ohio State University
- The University of Arizona
- The University of Edinburgh;
- UNIVERSITY OF VIENNA
- Universitat Politècnica de Catalunya (UPC)- BarcelonaTECH
- Universitatea Maritimă din Constanța
- University of California
- University of California, Merced
- University of Central Florida
- University of Florida
- University of Hamburg
- University of Lund
- University of Minho
- University of Minnesota
- University of Namur
- University of North Carolina at Chapel Hill
- University of Oxford
- University of Southern California
- University of Southern California (USC)
- University of Warsaw
- Université de Namur
- Zintellect
- 50 more »
- « less
-
Field
-
Science, Industrial Engineering, or a closely related field by start date. Demonstrated expertise in optimization (e.g., convex/nonconvex, stochastic, combinatorial), probability and stochastic processes, numerical
-
control (MPC) under uncertainty for autonomous systems. The research aims to develop state-of-the-art numerical methods for solving challenging belief-space optimal motion planning problems and their
-
quantum computers, which represent a promising path towards fault tolerant and scalable quantum computing. The project addresses a broad range of optimization problems relevant to both science and industry
-
design theory that facilitates multi-objective, multi-disciplinary optimization of data center design considering location, building operations, materials, energy use, water use, cooling system design, and
-
, mathematical finance, or optimization and is capable of actively contributing to research projects in these fields. The contract start date is flexible, beginning as early as March 1, 2026. The employment
-
design theory that facilitates multi-objective, multi-disciplinary optimization of data center design considering location, building operations, materials, energy use, water use, cooling system design, and
-
(Numerical Analysis and Applied Mathematics) develops numerical algorithms and software for large-scale problems in science and engineering. Its research ranges from algorithm design and analysis to software
-
impeller performance, analyze hydrodynamic characteristics, and identify key synthesis parameters influencing material quality. The resulting models will act as a predictive tool for process optimization and
-
advanced numerical simulation and/or optimization tools to the design and characterization of the facility; interact with other technical groups working on the Diamond-II design (e.g. Engineering
-
areas will be considered when selecting candidates: Machine Learning, Neural Networks, Numerical solutions of Partial Differential Equations and Stochastic Differential Equations, Numerical Optimization