23 Fully Funded PhD in Computer Science at NTNU, Norway

Are you holding Master’s degree and looking for PhD positions – Fully Funded PhD Programs in Europe? Norwegian University of Science and Technology (NTNU), Norway inviting application for funded PhD Programs or fully funded PhD Scholarship. Norwegian University of Science and Technology (NTNU) is one of the largest university in the world with thousands of employees, students, and research scientists are involved in the innovation of science and technology daily.

Norwegian University of Science and Technology (NTNU) has huge a campus in Norway and widely known as for its contribution in top notch education and research. The contribution of Norwegian University of Science and Technology (NTNU) is not only limited to natural sciences and engineering but it also offers high quality research as well as higher education in bio-medical sciences, social sciences, humanities, psychology, education, architecture etc.

1. PhD in Computer Science: PhD Candidate within Autonomy and Simulation for Future Mobility Solutions

Summary of Doctoral Project:

The Department of Computer Science (IDI) is looking for a PhD candidate in the area of autonomy and simulation for a sustainable and carbon-neutral mobility future. The PhD project will investigate both modular (mapping and localization, perception and prediction, planning and control) and end-to-end (imitation and reinforcement learning) approaches to autonomous driving in a Nordic environment. Training and validation of autonomous agents (from shuttle busses to last-mile delivery robots) will be done in simulated environments (e.g. CARLA, NVIDIA DRIVE Sim) of using a HD-map / Digital Twin representation of the area in question, as well as in the real-world environment using our in-house full-scale research platform for autonomous driving. Agents should learn to co-exist with humans in a real-world mobility setting. Current traffic patterns will be visualized and future “what-if” scenarios will be simulated (e.g. NVIDIA Omniverse) before physically constructing the optimal solution for a given area.

Last Application Date: 30th September 2022

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2. PhD in Computer Science: PERSEUS – PhD Candidate in Optimal Hydropower Scheduling using Advanced Machine Learning and Data Analytics

Summary of Doctoral Project:

The Department of Electric Power Engineering (IEL), at the Faculty of Information Technology and Electrical Engineering, Norwegian University of Science and Technology (NTNU), invites applications for a PhD candidate position in “Optimal hydropower scheduling using advanced machine learning and data analytics”. 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 etc.) Existing hydropower scheduling models face many shortcomings when dealing with such uncertainties.

Last Application Date: 30th September 2022

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3. PhD in Computer Science: PERSEUS – PhD Candidate in Machine Learning and Signal Processing

Summary of Doctoral Project:

The PhD project will focus on applying state-of-the-art machine learning and signal processing techniques for the effective analysis of massive-size geophysical data. The models should be able to produce predictions and enable early warning systems in various geosciences applications. Special focus will be devoted on the interpretability of the model predictions. This PhD project is further part of the PERSEUS doctoral programme: A collaboration between NTNU- Norway’s largest university, 11 top-level academic partners in 8 European countries, and 8 industrial partners within sectors of high societal relevance. PERSEUS will recruit 40 PhD candidates who want to contribute to a smart, safe and sustainable future.

Last Application Date: 30th September 2022

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4. PhD in Computer Science: PERSEUS – PhD Candidate in Fair and Sustainable Biometrics

Summary of Doctoral Project:

For a position as a PhD Candidate, the goal is a completed doctoral education up to an obtained doctoral degree. Focus of the research will be on algorithms that can provide demographic fairness and deep learning with minimal ecological impact (sustainable methods) This PhD project is a part of the PERSEUS doctoral programme: A collaboration between NTNU- Norway’s largest university, 11 top-level academic partners in 8 European countries, and 8 industrial partners within sectors of high societal relevance. Within PERSEUS we will recruit 40 PhD candidates who want to contribute to a smart, safe and sustainable future. We are looking for highly skilled PhD candidates motivated to approach societal challenges.

Last Application Date: 30th September 2022

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5. PhD in Computer Science: PERSEUS – PhD Candidate in Extended Reality (XR) for Future Mobility and Infrastructure Solutions

Summary of Doctoral Project:

The Department of Electronic systems (IES) is looking for a PhD candidate in the area of XR for visualization and gamification of mobility and infrastructure. For the XR experience the PhD will be researching on the use of Interactive Digital Narratives (IDNs) as a framework to build and assess the experiences. Interactive digital narratives (IDN) is an expressive narrative form in digital media implemented as a computational system and experienced though a participatory process. Currently the application of interactive digital narratives (IDN) has various forms (Narrative-focused games, interactive documentaries, journalistic interactives, installation pieces, XR experiences, narrative interfaces to big data, etc). IDN allows its audiences to experience the consequences of a series of choices and reconsider these choices through replay as well as ability to record change. In addition, IDN can contain multiple competing perspectives in a single work and enable its audiences to experience them within a single comprehensive space. With a focus on participatory forms the PhD will contribute to the MobilityLab Elgeseter project.

Last Application Date: 30th September 2022

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6. PhD in Computer Science: PERSEUS – PhD Candidate in Digital Twin for Maritime Communication System Performance Prediction

Summary of Doctoral Project:

At the Department of Electronic Systems we have a vacancy for a PhD candidate in the area of Digital twin for maritime communication system performance prediction. Modern and future ships use radio communications to support the local situational awareness and autonomity. Short- and long term communication performance has a direct effect on how well the ship’s systems are able to utilize up-to-date information from other ships and land-based systems. Being able to predict the performance is crucial in supporting the ship to adapt to the expected level of connectivity on route.

Last Application Date: Open Until Filled

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7. PhD in Computer Science: PERSEUS – PhD Candidate in Cyber-Security for Critical Infrastructures Digital Twins

Summary of Doctoral Project:

For a position as a PhD Candidate, the goal is a completed doctoral education up to an obtained doctoral degree. At the Department of Information Security and Communications Technology we have a vacancy for a PhD candidate in “Cyber-Security for Critical Infrastructures Digital Twins”. 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 systems to which they are targeted. This is particularly important in safety-critical systems, from power station generators to manufacturing systems or production facilities in the oil and gas industry.

Last Application Date: 30th September 2022

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8. PhD in Computer Science: PERSEUS – PhD Candidate in Algorithms for Large-Scale Processing of Dynamic Graphs

Summary of Doctoral Project:

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 also have attached dynamic data, for example time series, adding further challenges. The PhD student will develop techniques (algorithms and frameworks) for efficient processing of dynamic graphs, in cooperation with industry partners in the NorwAI research center. The research outcome is expected to produce high-quality publications in top database/algorithms/data mining venues. This PhD project is a part of the PERSEUS doctoral programme: A collaboration between NTNU- Norway’s largest university, 11 top-level academic partners in 8 European countries, and 8 industrial partners within sectors of high societal relevance.

Last Application Date: 30th September 2022

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9. PhD in Computer Science: PERSEUS – PhD Candidate in Acoustics of Fiber Optic Cable Sensing for Monitoring

Summary of Doctoral Project:

At the Department of Electronic Systems (IES) we have vacancy for a PhD candidate in acoustics of fiber optic cable sensing for monitoring. 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 earth sensing and forecasting domains. As the global ecosystem enters a period of dramatic change, there is a strong need for accurate monitoring and forecasting of the Earth.

Last Application Date: 30th September 2022

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10. PhD in Computer Science: PERSEUS – PhD Candidate in AI for Databases

Summary of Doctoral Project:

The aim of this PhD position is to work with research topics at the interface between machine learning and databases, and develop techniques that use AI to improve efficiency of database algorithms or database systems. Examples of topics in this direction from recent years include learned indexes, machine learning for query optimization, data cleaning, and algorithm selection. The PhD student will work with challenges related to these or other emerging topics within AI for databases, in cooperation with industry partners in the NorwAI research center. The research outcome is expected to produce high-quality publications in top database/data mining venues.

Last Application Date: 30th September 2022

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11. PhD in Computer Science: PERSEUS – 2 PhD Candidates in Statistics

Summary of Doctoral Project:

At the Department of Mathematical Sciences we have vacancies for 2 PhD candidates in Statistics. The positions are 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 earth sensing and forecasting domains. As the global ecosystem enters a period of dramatic change, there is a strong need for accurate monitoring and forecasting of the Earth. Statistical modelling and methodologies play important roles here, enabling reliable predictions and uncertainty quantification that aid decision support.

Last Application Date: 30th September 2022

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12. PhD in Computer Science: PhD Candidate in Small Satellite Remote Sensing and Data Distribution

Summary of Doctoral Project:

For a position as a PhD Candidate, the goal is a completed doctoral education up to an obtained doctoral degree. The PhD-student will be associated with the HYPSCI project. The project’s overall objective is to show that hyperspectral imaging from small satellites, in combination with low altitude and in situ observations from buoys, ships and autonomous vehicles, provide a highly effective approach to marine ecosystem research relevant from pole to pole and in different temporal and spatial scales. The project aims to demonstrate the potential of this disruptive concept of an observational pyramid by leveraging NTNU’s unique satellites with hyperspectral imagers (HYPSO) and NTNU’s long-term research and infrastructure within its Center of Excellence on Autonomous Marine Operations and Systems (AMOS).

Last Application Date: 22nd September 2022

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13. PhD in Computer Science: PhD Candidate in Verification and Validation of Cyber-Physical Systems

Summary of Doctoral Project:

We offer a 4 year PhD position (with 25% teaching duties) in Verification and Validation of Cyber-Physical Systems at the Information Systems and Software Engineering (ISSE) group of the Department of Computer Science, NTNU. For a position as a PhD Candidate, the goal is a completed doctoral education up to an obtained doctoral degree. The objective of this position is exploring new techniques for Verification and Validation (V&V) of modern computer-based systems. The focus is in particular on Cyber-Physical Systems (CPS), which are the result of the introduction of “intelligent” capabilities into traditional, physical, systems. The tight interaction with the physical world means that CPSs, if not operating properly, can cause harm to users and/or the environment (e.g., autonomous vehicles). At the same time, the physical world affects the operating context of the system in unexpected ways.

Last Application Date: 19th September 2022

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14. PhD in Computer Science: PhD Candidate in Edge Intelligence

Summary of Doctoral Project:

For a position as a PhD Candidate, the goal is a completed doctoral education up to an obtained doctoral degree in four (4) years. The PhD candidate will investigate fundamental issues on edge intelligence, with focusing on 1) development of edge intelligence architecture for IoT; 2) develop and optimize lightweight edge devices; and 3) augmented interactions for IoT. Results of this research will lead significant scientific, industry and social impact.

Last Application Date: 15th September 2022

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15. PhD in Computer Science: 2 PhD Candidates in Real-Time Hyperspectral Data Processing in Small Satellite and Autonomous Systems

Summary of Doctoral Project:

For a position as a PhD Candidate, the goal is a completed doctoral education up to an obtained doctoral degree. The PhD fellowships in Real-time hyperspectral data processing in small satellite and autonomous systems are associated with the Real-Time Remote Hyperspectral Imaging on Aerial Vehicles and Small Satellites (ARIEL) project funded by Norwegian Research Council. The PhD-positions will focus on onboard processing of high-dimensional remotely sensed data streams produced by hyperspectral imager on satellite platforms to significantly reduce the amount of required bandwidth and storage and on real-time realizations of cost-effective techniques for information extraction, image segmentation and dimensionality reduction.

Last Application Date: 11th September 2022

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16. PhD in Computer Science: PhD Candidate in Interaction Design and Learning Technologies

Summary of Doctoral Project:

This position is expected to contribute on designing the conditions and tools for engaging learning by taking into consideration the aforementioned advancements (e.g., multimodal data, AI/ML). The objectives and the research questions of this PhD project will be developed in consultation with the supervisor during the first months of the fellowship.

Last Application Date: 11th October 2022

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17. PhD in Computer Science: PhD fellowship in Computational Dynamics and Stochastics

Summary of Doctoral Project:

The PhD thesis will be supervised by Prof. Kurusch Ebrahimi-Fard (and Prof. Fabian A. Harang at BI Norwegian Business School, Oslo). The position will be connected to the new research project “Signatures for Images” (SFI), which focuses on the mathematical analysis of images seen as random fields, using methods for image classification based on the theory of rough paths. The PhD fellowship is open for the period of three years with a possibility of extending by one more year subject to complementary teaching responsibilities. The main workplace will be Trondheim, Norway.

Last Application Date: 7th October 2022

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18. PhD in Computer Science: PhD Candidate in Computer Architecture with Specific Focus on Quantized Neural Networks

Summary of Doctoral Project:

We have a vacancy for a PhD candidate within the area of computer architecture at the Department of Computer Science. For a position as a PhD Candidate, the goal is a completed doctoral education up to an obtained doctoral degree. Artificial neural networks have emerged as a solution to a wide variety of problems, such as medical diagnosis, object tracking, voice recognition, translation etc. A drawback with artificial neural networks is that they tend to be computationally heavy resulting in the need for specialized hardware that requires resources (silicon area) and energy. Quantized neural networks (QNN) is one solution for reducing the computational demand. By quantizing the weights and activations (i.e., using lower precision) the accelerator can be made smaller, and less memory is needed for storing weights and activations, resulting in lower energy usage.

Last Application Date: 1st October 2022

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19. PhD in Computer Science: PhD Candidate in Color Science

Summary of Doctoral Project:

A PhD position is available at the Department of Computer Science in Gjøvik. It is required to conduct a systematic investigation on the effect of flicker on color perception. The candidate will conduct research into temporal aspects of color vision, design and conduct psychophysical experiments to analyze the effect of different flicker types and frequencies on color matching. The experiments are meant to propose new standards describing human color vision. The new numerical description of the link between the wavelength distributions of visible stimuli, and physiologically perceived colors will contribute to improve the results of film digitization compensating for the different temporal unfolding of image display with analog and digital projectors. This pioneering research will also provide a relevant contribution in the broader field of visual perception.

Last Application Date: 30th September 2022

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20. PhD in Computer Science: PERSEUS – PhD Candidate within Trustworthy Artificial Intelligence

Summary of Doctoral Project:

This PhD project is a part of the PERSEUS doctoral programme: A collaboration between NTNU- Norway’s largest university, 11 top-level academic partners in 8 European countries, and 8 industrial partners within sectors of high societal relevance. Within PERSEUS we will recruit 40 PhD candidates who want to contribute to a smart, safe and sustainable future. We are looking for highly skilled PhD candidates motivated to approach societal challenges.

Last Application Date: 30th September 2022

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21. PhD in Computer Science: PERSEUS – PhD Candidate within Dynamic Digital Twins

Summary of Doctoral Project:

The Department of Electronic systems (IES) is looking for a PhD candidate in the area of dynamically updated digital twins for a sustainable and carbon-neutral mobility future. 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 important for the twin. This PhD will focus on the coupling between the twin and the different kinds of sensors, and will work with pre-processing, optimization and communication strategies to support accurate twin operation using limited communication resources. Machine learning and AI-based strategies that learn and adapt to the characteristics of the sensors, and the requirements of the twin will be of special interest.

Last Application Date: 30th September 2022

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22. PhD in Computer Science: PERSEUS – PhD Candidate within Digital Twins for Future Mobility and Infrastructure Solutions

Summary of Doctoral Project:

The Department of Computer Science (IDI) is looking for a PhD. candidate in the area of digital twins and artificial intelligence for a sustainable and carbon-neutral mobility future. The main aim of this project is to build a static digital twin of the MobilityLab’s focus area that will act as a baseline for all further simulations and will be extended to be able to receive dynamic information from IoT sensors. An accurate digital representation of the focus area will be created, based on existing geometric information and high-resolution aerial photographs. Raw data is already available for the project either as public or previously acquired datasets, additionally during the project more raw-data will be acquired with our in-house full scale research platforms (Kia e-Niro with an NVIDIA DriveWorks stack as well as dedicated high-resolution surveying drones).

Last Application Date: 30th September 2022

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23. PhD in Computer Science: PERSEUS – PhD Candidate within BigData and AI for Future Mobility Solutions

Summary of Doctoral Project:

The Department of Engineering Cybernetics (ITK) is looking for a PhD candidate in the area of Big Data and Artificial Intelligence for a sustainable and carbon-neutral mobility future. The aim of the PhD will be to develop and exploit big data and artificial intelligence-driven digital twin of urban mobility infrastructures to solve challenges in achieving a carbon-neutral mobility future. 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. The PhD will work towards developing enabling technologies to instill physical realism in such a digital twin. The enabling technologies will consist of data acquisition, pre-processing, fusion, and postprocessing techniques using an array of physics-based, data-driven, and hybrid models. In addition, the work will also involve the development of tools for communicating insights in a way that facilitates informed public opinion building and decision-making.

Last Application Date: 30th September 2022

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