Aalborg University, Denmark invites online Application for number of Fully Funded PhD Degree at various Departments. We are providing a list of Fully Funded PhD Programs available at Aalborg University, Denmark.
Eligible candidate may Apply as soon as possible.
(01) PhD Degree – Fully Funded
PhD position summary/title: PHD POSITION IN ECONOMICS, BUSINESS, AND MANAGEMENT
Among other things, the PhD project should analyse, quantitatively, if a legislative change in 2013, requiring Danish companies to outline target figures on gender balance in top management(typically board of directors), has had a positive effect on the share of women in board of directors in Denmark. Furthermore, the project should analyse when and under what conditions a larger share of women on the board of directors is positively corelated with gender equality at different levels of the organization. The literature refers to this as”the Trickle-down effect”. The project should analyse if, when, by how much, and under what conditions the trickle-down effect impacts on various measures of gender equality such as the number of women in management positions, gender wage gaps, and promotion prospects and speed. Theses analyses should mainly draw on Danish register data. The PhD student is affiliated to the IKE research group, Aalborg University Business School, Denmark. The focus of the research group is on Innovation, Knowledge and Economic dynamics at different levels of aggregation: the firm level, the industry level, the macro level, and different geographic levels of aggregation. The PhD student is expected to contribute actively to the research and teaching activities of the IKE research group. In addition to writing scientific articles, the PhD student is expected to collaborate with Equalis in disseminating research results to a non-academic audience and engaging in relevant debates to increase societal impact.
Deadline : 27.10.2023
(02) PhD Degree – Fully Funded
PhD position summary/title: PHD SCHOLARSHIP WITHIN THE RESEARCH PROJECT “PROFESSIONAL EXPERTISE IN THE AGE OF LEARNING ALGORITHMS”
Algorithmic technologies that utilize artificial intelligence-based(AI) approaches are increasingly used within the public administration and may change the character of professional work. The introduction of algorithmic technologies in the public administration thus raises questions about how professionals engage with learning algorithmic technologies at work and how the technologies shape expertise. The PEAL project examines these questions through a comparative ethnographic approach to machine-learning models within a public administrative context, draw on organizational and sociological perspectives on professions and expertise. The project aims to develop a new direction for understanding professional expertise and citizen-targeted public sector services that interact with algorithmic technologies. The PhD project research specifically expertise in the context of how learning algorithmic technologies are developed and deployed in the public administration through an ethnographic approach.
(03) PhD Degree – Fully Funded
PhD position summary/title: PHD SCHOLARSHIP IN COMMUNITY-BASED HEALTH PROMOTION
We are excited to announce a PhD scholarship as part of the larger Nordic research project‘Healthy communities in ageing societies–participatory research with elderly immigrants and refugees living in a Nordic society(HEALTHCOM) funded by NordForsk. The primary objective of HEALTHCOM is to investigate the potential opportunities and barriers in enhancing the health and well-being of elderly immigrants and refugees living in a Nordic society. A specific emphasis will be on the community-based development of physical activities. HEALTHCOM is based on a collaboration between four Nordic partner universities, namely Aalborg University, the University of Helsinki, Malmö University and Oslo Metropolitan University. In each partner country a distinct sub-project will be initiated.
(04) PhD Degree – Fully Funded
PhD position summary/title: PHD STIPEND IN THE BROAD AREA OF GRAPH DATA MANAGEMENT, MINING, SYSTEMS AND MACHINE LEARNING
The research is in the broad area of graph data management, mining, systems, and machine learning on graphs, including knowledge graphs, social and biological networks, financial networks, temporal and dynamic graphs, uncertain graphs, explainability and fairness of deep learning methods on networks. The aim will be publishing several research papers at top-tier data mining, data management, or machine learning conferences based on the research work. The project’s principal supervisor is Associate Professor Arijit Khan, Department of Computer Science. His research works can be found athttps://homes.cs.aau.dk/~Arijit/,https://scholar.google.com/citations?user=6Y-m8k4AAAAJ&hl=en, and athttps://dblp.org/pid/67/2933.html.
Deadline : 20.09.2023
(05) PhD Degree – Fully Funded
PhD position summary/title: PHD STIPEND WITHIN MANAGEMENT AND ANALYSIS OF MARITIME DATA
We seek a PhD student who will contribute to the next generation of data management and analytics in the maritime domain.Applicants must have a Master’s degree in computer science or a closely related field. In addition, applicants must have a strong background in one or several of the following areas: data management, big data systems, data analytics, and machine learning.
Deadline : 20.09.2023
About Aalborg University, Denmark –Official Website
Aalborg University (AAU) is a Danish public university with campuses in Aalborg, Esbjerg, and Copenhagen founded in 1974. The university awards bachelor’s degrees, master’s degrees, and PhD degrees in a wide variety of subjects within humanities, social sciences, information technology, design, engineering, exact sciences, and medicine.
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