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 in secure multiparty computation in quantum networks
The successful candidate will contribute to developing new cryptographic network protocols based on quantum resources. A particular focus is given to secure multiparty computation protocols where participants are not restricted to classical hardware, but may have (potentially limited) access to quantum resources such as entanglement. The goal is to use this entanglement in combination with other properties of quantum information – e.g. the no-cloning principle – to provide improved privacy in distributed computation settings.
As part of the position, you will be expected to collaborate with other researchers from the CLASSIQUE Centre of Excellence at Aalborg University as well as researchers affiliated with the Centre for Quantum Communication Networks and Applications led by Simula UiB in Bergen, Norway.
During the PhD studies, you will also be expected to perform teaching tasks – e.g. lecturing or project supervision – at the Department of Mathematical Sciences.
Deadline : 13.09.2026
(02) PhD Degree – Fully Funded
PhD position summary/title: One or More PhD Positions in Hyperspectral Imaging for Bulk Evidence Analysis
The project is expected to generate novel analytical methodologies, peer-reviewed publications, conference presentations, and practical tools for forensic laboratories. During the PhD project, you will design and implement a hyperspectral imaging system tailored to bulk forensic trace analysis and develop chemometric and machine-learning models for material identification and classification. You will evaluate the detection of accelerants, contaminants, and degraded forensic evidence and integrate advanced data processing and visualisation techniques to handle and interpret large hyperspectral data sets. Clearly the fundamental competences you acquired from this project is transferable across academia and industries.
You will collaborate closely with forensic laboratories and law-enforcement stakeholders on the validation of analytical protocols and disseminate your results through scientific publications, conference contributions, and interactions with practitioners. As part of your PhD training, you will also contribute to teaching or other forms of knowledge dissemination within the department.
Deadline : 15.08.2026
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(03) PhD Degree – Fully Funded
PhD position summary/title: PhD position in economics, business, and management
You will be part of a team of researchers responsible for the annual productivity studies by Aalborg University Business School. These studies provide data driven insights into regional productivity evolution in Denmark, and potential challenges and opportunities. You will contribute to these analyses but also have freedom to pursue original ideas, which can then shape the thematic chapters of the reports. Such ideas can diverge from a narrow focus on productivity and deal with related topics in Denmark such as competitiveness, internationalization, regional structural change, and innovation.
You will be able to contribute empirical research on Denmark at the firm level, and/or at the aggregate level. Your research can use diverse methodologies depending on your strengths and interests. You will primarily be using registry data from Statistics Denmark.
Over the three years of employment, you will be required to deliver 600 hours of teaching and attend 30 ECTS of PhD level training.
Deadline : 09.08.2026
(04) PhD Degree – Fully Funded
PhD position summary/title: PhD position on Circular Economy Practices and Collaborative Innovation in the Danish Plastics Industry
Taking as its point of departure a situation in which the Danish plastics industry is facing increasing pressure to accelerate its transition towards more sustainable and circular modes of production, this project will explore how innovations based on circular practices emerge between companies through ongoing collaboration, coordination, and negotiation across value chains.
Building on recent research into frontrunner firms in the Danish fashion and textile industry (see https://vbn.aau.dk/da/publications/grøn-omstilling-i-den-danske-mode-og-tekstilindustri-virksomhedsb/ — available in Danish only), the premise of this PhD project is that green transitions are increasingly understood as an ecosystem-level phenomenon rather than something undertaken by individual firms in isolation.
The pressure on the plastics industry stems not only from regulatory developments at the national and EU levels (such as the European Union’s Directive 2019/904 on the reduction of the impact of certain plastic products on the environment and the planned proposal of a Circular Economy Act), but also from growing sustainability demands articulated by large focal firms that rely on plastic-based components, packaging, and materials in their value chains.
Accordingly, the project will examine how regulatory pressures, customer demands, and strategic responses from supplier firms interact to produce changes at both the firm and ecosystem levels.
Deadline : 03.08.2026
(05) PhD Degree – Fully Funded
PhD position summary/title: PhD stipend in discrimination and bias reduction in recruitment
You will be part of a research project that examines why bias in recruitment persists, even though various forms of blind screening and other interventions have been implemented. The project views recruitment as a multi-stage process, where screening, interviews and final decisions interact, and where bias-reducing mechanisms can reinforce or counteract each other.
You will work in an experimental setting using AI, immersive virtual reality scenarios and quantitative analyses to study decision-making and implicit bias across the hiring process. The technical development of the virtual reality set-up is handled by project partners. Your role will be to help design and carry out experiments using AI and VR, define conditions and scenarios, and analyse the resulting data. You might further engage in qualitative follow-up studies gaining in-depth knowledge about the underlying mechanisms.
A central part of your work will be quantitative analysis of data from experiments and other sources. This may include studying how blind screening and structured interviews affect the representation of different groups in selection processes (for example gender, ethnic minorities and age groups), and how candidates’ personality traits interact with stereotypes and implicit evaluations. You will work systematically with questions such as: under which conditions do bias-reducing mechanisms support more inclusive recruitment, and how can they be combined and implemented to improve diversity outcomes over time.
You will be part of the research group Strategy, Organisation and Management and are expected to participate in research meetings, seminars and collaborative activities. During the three years of employment, you will also contribute to teaching at Aalborg University Business School and complete PhD courses corresponding to 30 ECTS, including an external research stay in agreement with your supervisors.
Deadline : 03.08.2026
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(06) PhD Degree – Fully Funded
PhD position summary/title: A PhD stipend within the AI:EcoNet Lab (DEIS)
Species interact in complex biological networks e.g. food webs, forming the foundation of natural ecosystems. Yet, we lack the tools to predict how these networks change in time and space. This is especially critical given the increased pressure from human activities that push species to extinction and potentially disrupts ecosystem functionality.
Our interdisciplinary lab will develop novel Graph Representation Learning models to understand and predict interactions in dynamic ecological networks.
Deadline : 02.08.2026
(07) PhD Degree – Fully Funded
PhD position summary/title: PhD Stipend in How Firms Adopt and Govern AI: A Sino-Danish Comparative Project (SDC)
AI is moving out of research labs and into the everyday operations of firms. The project treats AI adoption not only as uptake of new tools, but as a change in how firms codify knowledge: prompts, models, workflows, and governance routines make some expertise executable while creating new burdens of evaluation, maintenance, and revision. The pace is uneven across countries. Regulatory frameworks, labour markets, platform structures, and the resources firms can actually draw on (access to model providers, sector-specific data, firm size, and local implementation capacity) channel the same technology in very different ways. China and Denmark face the same wave but route it through fundamentally different institutional architectures, which makes a structured comparison worth doing. The firm is the main empirical site, but the project connects firm-level adoption to task-level change, sectoral conditions, and the wider institutional differences between China and Denmark.
The PhD candidate designs and carries out an original research project that asks how institutional environments shape firm-level AI adoption, organisational capability building, task reallocation, skill demand, and productivity outcomes in China and Denmark. The expected design combines quantitative analysis (firm-level data, job postings, occupational task data, and administrative indicators where accessible) with qualitative firm case studies. The candidate is expected to make the connection between the two halves of the project explicit and credible.
Deadline : 02.08.2026
(08) PhD Degree – Fully Funded
PhD position summary/title: PhD Stipend in Anomaly Detection for Future Urban Cooling Systems
Applications are invited for a three year PhD position focused on anomaly detection and fault diagnosis in large-scale cooling systems for future mega-cities. The position is part of the SWiM project, an international collaboration involving Aalborg University, Aarhus University , Nanyang Technological University, and Grundfos company.
The energy demand for cooling is growing faster than any other end use in the building sector, having more than tripled between 1990 and 2016. As cities expand and urban heat intensifies, efficient and reliable cooling infrastructure becomes critical. Yet current systems suffer from persistent challenges: design oversizing leads to inefficient operating points, poor maintenance causes equipment degradation and energy waste, and sloppy or absent commissioning results in poor system balance and underutilized energy-saving potential. Detecting and diagnosing these faults early at the component, building, and city-district level is essential for the sustainable cities of tomorrow.
This PhD project addresses a fundamental challenge in modern urban energy infrastructure: the intelligent, automated monitoring and management of large-scale cooling systems spanning components, buildings, and urban districts. As cooling systems grow in complexity and scale, traditional monitoring approaches are insufficient to ensure efficient, reliable, and fault-free operation. This project will develop novel AI methods that bridge first-principles physical knowledge with data-driven learning to enable continuous, autonomous system oversight.
Deadline : 19.07.2026
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(09) PhD Degree – Fully Funded
PhD position summary/title: PhD in collaboration with commercial partner on modelling and data analysis for new software tools to assess blood, electrolyte and metabolite status.
This PhD project will address the clinical problems associated with interpretation of measurements from blood and, in particular, measurements from a blood gas analyser. Often, blood samples can be incorrectly assessed due to gas contamination, delayed analysis time or other disturbances. If these problems remain unidentified, they can result in incorrect clinical decisions and poor patient management.
In this PhD project, you will collect experimental data describing the changes in blood due to pre-analytical errors, and build mathematical models to describe these changes. This work can have real clinical and commercial impact, potentially resulting in digital software solutions for identifying and compensating for errors in blood measurements. The work will be in collaboration with Roche Diagnostics International, a leading manufacturer of blood gas analyzers based in Switzerland, and the candidate will be part of an international network in this area.
Deadline : 12.07.2026
(10) PhD Degree – Fully Funded
PhD position summary/title: PhD stipend in Danish studies
PhD students are expected to develop and complete a PhD thesis at a level corresponding to international research standards within the relevant field. This includes the ability to produce high-quality, peer reviewed research outputs, such as publications in recognised academic journals and/or contributions to books or anthologies. PhD students are also expected to actively disseminate their research to academic peers as well as to broader audiences beyond academia.
As part of their research training, PhD students should develop a clear and well-defined research profile that demonstrates academic maturity and the ability to collaborate within their field of expertise. Engagement in research environments beyond the host institution is encouraged, for example through shorter or longer research stays at other research institutions. In addition, PhD students are expected to build knowledge of external research funding opportunities and funding strategies as part of their academic development.
PhD students carry out an independent research project under supervision, develop their own research profile, and contribute actively to the research environments at Aalborg University as well as to national and/or international research collaborations.
Deadline : 05.07.2026
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(11) PhD Degree – Fully Funded
PhD position summary/title: PhD stipend in English studies
The PhD position is open within all three areas of English studies. Within the specific field, the PhD student will engage in both research and dissemination activities.
The PhD student is, in close dialogue with their main supervisor, expected to identify and refine their own research focus and develop an original and independent line of research within the field. As part of the application, applicants are expected to outline a project description (min. 5 pages, as mentioned below) in which the applicant suggests the framework for such a project, pointing out, for instance, research questions, theoretical considerations, approach, relevant literature and timeline.
Deadline : 05.07.2026
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(12) PhD Degree – Fully Funded
PhD position summary/title: PhD in Safe Learning Based Control for Autonomous Robots in Dynamic Environments
The position focuses on developing next-generation learning-based decision-making and control for autonomous robots operating safely in dynamic, crowded environments. As a PhD candidate, you will develop methods that combine data-driven autonomy with formal safety guarantees and validate them in real time through simulation and experimental evaluation.
The position is hosted at the Department of Electronic Systems at Aalborg University, within a friendly and highly collaborative research environment, with a well-established research network of partner universities and research institutes. You will be part of strong national and international research activities and engage in close collaboration with public and private stakeholders.
We look forward to receiving your application. Join us and help shape the future of safe autonomous systems.
Deadline : 01.07.2026
(13) PhD Degree – Fully Funded
PhD position summary/title: PhD in Glass-Based Technologies for Reliable and Circular Power Electronics
A PhD stipend is available in the field of power electronics, with a focus on developing reliable and circular substrate and integration technologies for next-generation power electronic systems. The position will investigate how glass-based multi-layer PCB technologies can be designed, manufactured, integrated, and validated for power electronic applications.
In this role, you will work at the interface between power electronics, electronic packaging, and materials integration. You will investigate through-glass via formation, metallization processes, bonding technologies, and multi-layer stack-up integration for glass-based PCB structures. Multi-physics simulation and experimental characterization will be used to analyze thermo-mechanical behaviour, warpage mechanisms, interconnect reliability, and failure risks under representative operating conditions. Experimental validation through fabrication, laboratory characterization, and testing of representative structures and hardware prototype is expected as part of the project.
The position is offered in relation to the project “GRACE: Glass for Reliable and Circular Power Electronics” within the research program ” Sustainable Power Electronics and Electrifications ” and the PhD Students will be positioned in the section for Applied Power Electronic Systems.
Deadline : 01.07.2026
(14) PhD Degree – Fully Funded
PhD position summary/title: One PhD stipend in “Variability of shallow groundwater in urban areas”
In this PhD position, you will work with the spatial and temporal dynamics of shallow groundwater in urban areas. The overall aim is to obtain a deeper understanding of how shallow groundwater behaves in cities over time and space, and how this behavior can be described and analyzed using numerical models, soil characterization, and time series analysis. The project is anchored in the Urban Hydrology Research Group at Department Build, Division of Civil and Environmental Engineering, where you will be part of an international research environment with a strong focus on urban water systems and climate change adaptation.
You will develop and apply numerical models of the unsaturated zone to describe shallow groundwater processes in urban settings. This includes working with soil physical properties and soil characterization in the field and laboratory, integrating monitoring data, and combining different data sources into coherent model setups. You will analyze temporal dynamics using time series methods and statistical techniques, and you will explore spatial variability using suitable modelling and data analysis approaches. A central task will be to translate complex model results and data analyses into new general insights about shallow groundwater behavior in cities.
The project is carried out in close collaboration with COWI and Danish water utilities. You will use real-world data and cases from practice, and you will take part in meetings and dialogue with external partners. You are expected to participate in international scientific conferences, where you will present your research to the wider research community and build your professional network.
Throughout the project you will work closely with your supervisors and colleagues in the research group. You will contribute to the scientific output of the group through journal publications, conference contributions and participation in internal collaboration. You will also be enrolled in the PhD School and follow relevant PhD courses that support your project and your academic development.
Deadline : 30.06.2026
(15) PhD Degree – Fully Funded
PhD position summary/title: PhD stipend in Musicology
We invite applications for a PhD position in Musicology, broadly oriented toward music in relation to health, wellbeing, and societal contexts. The position is embedded within a humanistic research environment where music is understood as an artistic, cultural, and social practice.
The PhD project should take music as its primary point of departure. Applicants are encouraged to propose projects that explore the roles and uses of music across a range of contexts, which may include health-related settings. Projects may engage with perspectives from music therapy or music & health, but such approaches are not required and should be understood as part of a broader music-focused inquiry.
The position is open with regard to methodological and theoretical approaches, and we welcome projects that incorporate artistic, practice-based, analytical, or interdisciplinary elements.
The PhD student is, in close dialogue with their main supervisor, expected to identify and refine their own research focus and develop an original and independent line of research within the field. As part of the application, applicants are expected to outline a project description (5 pages, as mentioned below) in which the applicant suggests the framework for such a subproject, pointing out, for instance, research questions, theoretical considerations, approach, relevant literature and timeline.
Deadline : 29.06.2026
(16) PhD Degree – Fully Funded
PhD position summary/title: One or more PhD stipends in “The optimization of adaptability, flexibility, and efficiency of EV battery recycling processes based on digital technologies”
The recycling of spent lithium-ion batteries (LIBs) from electric vehicles (EVs) becomes an urgent problem for the green transition in EU. One of the important outputs from the battery recycling is the black mass. The existing scaled production/recycling line for black mass normally includes two parts: disassembly and pyrometallurgy. However, such a line is often less adaptable, flexible, and efficient, mainly due to the non-standardized battery design. In today’s market, there are many different types of LIBs with variable composition feedstocks and structures. It is not uncommon that in the same batch collected from end-of-life markets, there are different types of LIBs. In order to dissemble these LIBs, manual labor still plays an important role (in e.g., sorting and pre-treatment), which in turn leads to high recycling cost. Furthermore, such diversity also brings the difficulty to the pyrometallurgical processes and negatively influences the recovery rates of critical raw metals.
This project aims to address these issues and enhance the adaptability, flexibility, and operational efficiency of existing battery recycling processes. Specifically, it aims to improve and optimize cost and recovery efficiency of existing scaled recycling technologies and develop technological solutions capable of efficiently recycling diverse feedstocks, including production scrap, and mixed lithium-ion battery chemistries. Besides, it will also take safety, energy efficiency, CO2 and ecological footprint reduction, and economic viability into consideration, when developing the solutions. This project aims to achieve these objectives by applying digital technologies, such as AI, robot, and IOT. It is also expected that the results of this project will also shed the light to the design battery digital passport from a recycling point of view.
Deadline : 28.06.2026
(17) PhD Degree – Fully Funded
PhD position summary/title: One PhD Stipend in Reliability and Experimental Methods for Advanced Control of Wave Energy Converters
The PhD project will focus on the development of reliability- and risk-aware methodologies for wave energy converters (WECs), combining uncertainty quantification, structural integrity assessment, and experimental validation. The research will address the coupled behaviour of the WEC structure, mooring system, and power take-off under realistic environmental and operational conditions.
A key objective of the project is the development of probabilistic and physics-informed models to quantify uncertainties related to material properties, environmental loading, sensor data, and model fidelity. Bayesian and stochastic techniques will be used to propagate uncertainty through diagnosis and prognosis models, enabling confidence-aware estimation of degradation, fatigue accumulation, probability of failure, and remaining useful life. These reliability metrics will be integrated into risk-based evaluation frameworks that explicitly balance structural integrity and energy conversion efficiency.
The resulting framework will provide actionable inputs to advanced control strategies, allowing control actions and maintenance activities to be adapted based on both expected energy yield and system health. The project also includes extensive experimental activities in the AAU wave basin, where medium-scale hydrodynamic and dynamic system tests will be conducted. Experimental data will be used to validate digital-twin and reliability models and to assess the trade-offs between energy performance, structural loading, and long-term system reliability under varying health conditions.
Deadline : 25.06.2026
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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