Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- NTNU - Norwegian University of Science and Technology
- Delft University of Technology (TU Delft)
- Eindhoven University of Technology (TU/e)
- Inria, the French national research institute for the digital sciences
- NTNU Norwegian University of Science and Technology
- BI Norwegian Business School
- Graz University of Technology
- Grenoble INP - Institute of Engineering
- Max-Born-Institute
- Monash University
- Newcastle University
- Norwegian University of Life Sciences (NMBU)
- Umeå University
- University of Cambridge;
- University of Latvia
- Wageningen University & Research
- jobs.ac.uk
- 7 more »
- « less
-
Field
-
combining theory, research, and design practice Enthusiastic about connecting with people and engaging with real-world societal challenges Willing to contribute to a positive work atmosphere Emphasis will be
-
Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 2 months ago
background in state-space modeling and control theory. Strong programming skills in C++, Python and/or MATLAB. Interest in both theoretical research and experimental validation. Good written and spoken English
-
traffic flow theory with machine learning, and with that, the best of both worlds: theory and logic where necessary, data-driven where possible. This innovative new approach enables more efficient and
-
techniques, including KKT conditions or ADMM algorithms, would be appreciated • Interest in flexibility management, game theory, equilibrium problems, or multi-energy systems • Strong analytical, research, and
-
traffic flow theory and simulation. You are a machine learning enthusiast (and realist). You love coding and have proven experience in e.g. Python, Matlab, JAVA, C#. You can present and communicate your
-
. This may be extended to include potential flow theory based modelling as well. Develop deep learning surrogate models for fast prediction of motions, stresses, and loads Validate the deep learning model
-
made in accordance with NTNUs guidelines for recruitment positions for general criteria for the position. Preferred selection criteria Solid understanding of control theory, including classical and
-
PhD Candidate to conduct research on Artificial Intelligence for managing Shipbuilding Supply Chains
processing data streams, with theories and methods for planning and logistics. The PhD research will focus on AI-enhanced planning of operations in shipbuilding supply chains, examining how AI techniques can
-
, linear algebra, probability theory, (Bayesian) statistics, optimization and elementary graph theory Familiar with machine learning and deep learning Programming experience (Python or Julia) and their
-
the position of PhD Candidate, code 1017, your gross salary will normally be NOK 580 000,-per annum depending on qualifications and seniority. A 2% statutory contribution to the State Pension Fund is deducted