The Department of Engineering Cybernetics (ITK) is looking for a Ph.D. candidate in the area of Big Data and Artificial Intelligence for a sustainable and carbon-neutral mobility future. The aim of the Ph.D. will be to develop and exploit big data and artificial intelligence-driven digital twin of urban mobility infrastructures to solve challenges in achieving....
Positions
This project is part of “Mission Mjøsa”, a large interdisciplinary project that is led by NTNU and Innlandet county. The aim of the project is to integrate data acquired from a variety of imaging sensors (e.g., drone, surface or underwater robots equipped with cameras or sonar devices) into eXtended reality environments (virtual reality, augmented reality,....
A digital twin is defined as a virtual representation of a physical asset or process enabled through data and simulators for real-time prediction, optimization, monitoring, control, and improved decision making. For real-time operation, the twin requires continuous updating with new measurements from its observation platforms. However, all observations are not equally time-critical, and not equally....
The position is associated with the Centre for Geophysical Forecasting (CGF) at NTNU, which is one of the Norwegian centres for research-driven innovation, funded by the research council of Norway and industry partners. The goal of the CGF is to become a world-leading research and innovation hub for the geophysical sciences, creating innovative new products and services....
In Norway, hydropower is the primary source of electricity, and it accounts for 96% of electricity generation. Due to the long-term reservoir storage constraints in hydropower dominated systems, the resource scheduling should be done for a sufficiently long-time period and with an appropriate representation of uncertainties (such as inflow to reservoirs, wind power generation, demand....
Content summarization uses machine learning to extract the main ideas of individual texts or collections of text. It may also be used to explain recommendations and provide explanatory features in artificial intelligence in general. Central to the technique is the use of machine learning and language models to interpret text and contextualize content with respect....
Digital twins have evolved from passive monitoring and state estimation systems to integrated sociotechnical mechanisms that are essential for strategic modeling and planning, as well as operational real-time monitoring and control of cyber-physical systems. In order to support these functionalities, the operation of digital twins relies heavily on maintaining fidelity and synchronization with the production....
The Department of Computer Science (IDI) is looking for a Ph.D. candidate with background in computer vision and artificial intelligence to work in the area of automated digital twin generation for a sustainable and carbon-neutral mobility future. The main aim of the project is to aggregate existing information, as well as data acquired with a....
For a position as a PhD Candidate, the goal is a completed doctoral education up to an obtained doctoral degree. For many important applications, data is presented as graphs, with dynamic relationships between nodes. Examples include graphs representing the power grid, financial transaction relationships, social networks, and transportation networks. The nodes in the graphs can....
The Department of Environmental Science is one of the biggest departments at the Faculty of Science. The department consists of four units with more than 190 researchers, teachers, doctoral students and technical/administrative staff from over 30 countries. Research and teaching focuses on chemical contaminants, atmospheric science, biogeochemistry and (eco)toxicology. As an employee at the....