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03 PhD Programs – Fully Funded at Aalborg University, Denmark

Do you have a Master’s degree and are looking for fully funded PhD opportunities? Aalborg University, Denmark is now accepting applications for several funded PhD programs across a range of research areas.

1. Fully Funded PhD in Exploring CONFINED LIVES between London, UK and Freetown, Sierra Leone

Summary of Funded PhD Program

This PhD is part of a larger project that explores confinement and confined lives across four transnational sites. The overarching project investigates confinement as both a restriction of freedom and a form of protection, highlighting its unequal distribution in contexts of urban marginality, displacement and incarceration. Family relationships and trans-country mobility serve as a common entry point to understanding confining dynamics and their effects across the four transnational sites.

Application Deadline: 01.12.2024

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2. Fully Funded PhD in Exploring CONFINED LIVES between Denmark and Lebanon

Summary of Funded PhD Program

This PhD is part of a larger project that explores confinement and confined lives across four transnational sites(comprising also Myanmar-Thailand, Malawi-South Africa, and UK-Sierra Leone). The overarching project investigates confinement as both a restriction of freedom and a form of protection, highlighting its unequal distribution in contexts of urban marginality, displacement and incarceration. Family relationships and trans-country mobility serve as a common entry point to understanding confining dynamics and their effects across the four transnational sites.

Application Deadline: 01.12.2024

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3. Fully Funded PhD in Distributed, Embedded and Intelligent Systems (DEIS)

Summary of Funded PhD Program

We seek PhD students that will contribute to new generations of scalable, model-based tools for cyber-physical systems based on a mathematical sound foundation, that enables trade-offs between functional safety, security, quantitative performance, and exploitation of modern machine learning technology. It is the overall hypothesis of S4OS that a full integration of model checking and synthesis with machine learning will provide the key to innovative, highly scalable methods for learning, analysis, synthesis and optimization of cyber-physical systems. 

Application Deadline: 01.11.2024

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