Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Employer
- European Space Agency
- Technical University of Munich
- Iowa State University
- Technical University of Denmark
- University of Oslo
- Boston University
- ETH Zurich
- Forschungszentrum Jülich
- Fraunhofer-Gesellschaft
- Harbin Engineering University
- Imperial College London
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- NEW YORK UNIVERSITY ABU DHABI
- NTNU - Norwegian University of Science and Technology
- National Renewable Energy Laboratory NREL
- Princeton University
- University of Southern California
- University of Washington
- Vrije Universiteit Brussel
- 9 more »
- « less
-
Field
-
multi-agent autonomous systems and related technologies. This will include development of distributed monitoring algorithms enabling agents in a multi-agent swarm to autonomously locate other agents in
-
Description NREL is seeking a postdoc to design, train, and analyze the AI/ML and control algorithms for hybrid energy systems including industrial systems, building controls, and advanced energy systems
-
, distributed ones. Their low input data requirements and flexible application make them widely used by water managers. While very attractive, these models can be pretty challenging when attempting to compute
-
sensor networks, robotics, energy, and Smart Cities • Network systems and economics, cooperative control and optimization, game theory • Distributed algorithms for decision making • Machine learning and
-
positions, tenured positions, and positions for distinguished professorship. Candidates in areas including, but not limited to, Quantum Algorithms, Quantum Machine Learning, Quantum Key Distribution
-
Location ESTEC, Noordwijk, Netherlands Our team and mission Internal Research Fellow (PostDoc) in Artificial Intelligence for Space Systems in the AI and Data Science Section, Future Engineering
-
methods, machine learning algorithms, and prototypical systems controlling complex energy systems like buildings, electricity distribution grids and thermal systems for a sustainable future. These systems
-
optimisation, distributed-parallel-GPU optimisation (e.g. pagmo2), Taylor-based numerical integration of ODEs (e.g. heyoka), differential algebra and high order automated differentiation (audi), quantum
-
computer science with very good results - Interest on topics around the area of distributed systems and data management - Basic knowledge in distributed systems and graph algorithms is desired - Hand-on experience