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16 PhD Degree-Fully Funded at Aalborg University, Denmark

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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 POWER ELECTRONICS CONVERTER (PEC) FOR ELECTROLYZER WITH HIGH CURRENT AND LOW VOLTAGE

The specific PEC concept topology chosen from the concept design and evaluation phase in WP3 will be realized through the buildup of a large-scale PEC demonstrator in WP4. The hardware prototype of the PEC and relevant subsystems will be designed and built at AAU during the second year of the project in WP4. Part of the PEC subsystem that is commercially available may be outsourced(i.e. thyristor stacks, power modules, gate drivers, magnetics) to reduce the time for prototyping. The controller developed at IIT-M for a small-scale demonstrator in WP3 will be integrated with the large-scale prototype. The preliminary test and hardware validation of the PEC with control implemented will be carried out in power electronics laboratory at AAU.

Deadline : 30.06.2023

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(02) PhD Degree – Fully Funded

PhD position summary/title: PHD STIPEND IN THE CONSEQUENCES OF IT SOFTWARE UPDATES ON HEALTHCARE WORK

Electronic health records(EHR) are a substantial foundation of the healthcare system and work as important entry points for producing and sharing healthcare data across diverse professional groups and stakeholders with different interests. As a piece of software, EHR systems are continuously updated to meet the needs of healthcare professionals. These updates may seem small, yet they are supposed to matter and solve problems ongoingly. While providing software improving updates is a significant part of IT professionals work, we know little about how these continuous updates affect the work practices of healthcare professionals.

Deadline : 28.06.2023

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(03) PhD Degree – Fully Funded

PhD position summary/title: PHD STIPEND IN IMPROVED SOEC DURABILITY USING DYNAMIC ELECTROTHERMAL BALANCED OPERATION

The mission is to be world leading in both research and research-based education of the energy engineers of the future. AAU Energy has approx. 300 employees of many nationalities, of which 25 are administrative staff. In addition, AAU Energy constantly has approx. 50-70 guest researchers from around the world.  Research and teaching are in the absolute world elite in the field of energy, and we have extensive and leading workshop and laboratory facilities, where research and innovation are carried out in direct collaboration with industry to a great extent. 

Deadline :  27.06.2023

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(04) PhD Degree – Fully Funded

PhD position summary/title: PHD STIPEND IN PHYSICS BASED HIGH LEVEL DIGITAL TWIN CONCEPT MODELLING FOR POWER2X SYSTEMS

The mission is to be world leading in both research and research-based education of the energy engineers of the future. AAU Energy has approx. 300 employees of many nationalities, of which 25 are administrative staff. In addition, AAU Energy constantly has approx. 50-70 guest researchers from around the world.  Research and teaching are in the absolute world elite in the field of energy, and we have extensive and leading workshop and laboratory facilities, where research and innovation are carried out in direct collaboration with industry to a great extent. 

Deadline :  27.06.2023

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(05) PhD Degree – Fully Funded

PhD position summary/title: TWO OR MORE PHD STIPENDS IN ENERGY MODELLING, SPATIAL PLANNING, HEAT PLANNING AND MODEL COUPLING

The use of the energy systems simulation tool EnergyPLAN as well as ArcGIS or similar would be a cornerstone in the Ph.D. work, thus experience with this is a pivotal strength for applications to this position Energy systems modelling of EU countries with the aim of identifying long-term decarbonisation strategies while focusing on the system design and specifically focusing on the phase-out of natural gas in the heating sectors using heat savings, district heating as well as individual heat pumps and electrification of industry and transport. The use of the energy systems simulation tool EnergyPLAN is a crucial part of the position as well as motivation for understanding the dynamics and possibilities to improve our transition to a climate neutral energy system in relation to REPowerEU and the Paris Agreement.

Deadline :  26.06.2023

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(06) PhD Degree – Fully Funded

PhD position summary/title: PHD STIPEND IN 5G-CONNECTED ASSISTIVE ROBOTS

Wireless connectivity and cloud computing will be the driving forces of 5G systems, enabling the novel use case in digital health. An important future use case are cloud-connected assistive robots, like bionic limbs and exoskeletons, that will be equipped with advanced sensors and cloud connectivity and become truly intelligent, capable to substantially improve the quality of patients’ lives.

Deadline : 18.06.2023

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(07) PhD Degree – Fully Funded

PhD position summary/title: PHD STIPEND IN LARGE-AREA NANOSTRUCTURED SUBSTRATES FOR TEST OF ELECTROCATALYSTS

The PhD position is one of the 9 PhD and 5 postdoc positions in the 2023CAPeX PhD and Postdoc cohort call. CAPeX is a 13-year and 300 MDKKPioneer Center forAccelerating P2X Materials Discovery, funded by Danish Ministry of Higher Education and Science, the Danish National Research Foundation, the Carlsberg Foundation, the Lundbeck Foundation, the Novo Nordisk Foundation, and the Villum Foundation. CAPeX is hosted by the Technical University of Denmark(DTU) and co-hosted by Aalborg University(AAU), and unites leading experts from DTU, AAU, University of Copenhagen, Aarhus University, and the University of Southern Denmark with international partners from Stanford University, Utrecht University, and the University of Toronto to form a truly Pioneering Center on P2X. You can read more about CAPeX and the other 2023 cohort positions athttp://www.capex-p2x.com

Deadline :  16.06.2023

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(08) PhD Degree – Fully Funded

PhD position summary/title: PH.D-STIPENDIAT I RETSVIDENSKAB

Juridisk Institut er rammen om et dynamisk og ambitiøst forsknings- og uddannelsesmiljø. Med fokus på værdier som engagement, fællesskab, frihed, balance og ordentlighed, ønsker instituttet at bidrage med juridisk forskning til løsning af samfundsrelevante problemstillinger og med uddannelse af høj kvalitet til fremtidens arbejdsmarked. Vi søger en ph.d.-stipendiat, som har lyst til at være en del af et spændende juridisk miljø på et missionsorienteret universitet.    

Deadline : 15.06.2023

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(09) PhD Degree – Fully Funded

PhD position summary/title: PHD STIPEND IN NEW NON-INVASIVE TECHNOLOGIES FOR TERRESTRIAL SPECIES MONITORING

A PhD stipend is available in new non-invasive technologies for species monitoring. The background for the project is the growing need for large-scale monitoring of(terrestrial) animal species, that are under increasing stress and threatened by habitat destruction, urbanisation and climate change. As a result, traditional monitoring techniques need to be supplemented with new non-invasive approaches that can be used at a large scale to facilitate effective management and conservation practices. The project aims to explore different novel monitoring technologies such as thermal imaging and acoustics, as well as molecular tools, to survey ecological parameters including population size and distribution, diet, and health. These investigations will be performed with focus on important Danish animals species including European Hare(Lepus europaeus) and Hazel Dormouse(Muscardinus avellanarius), and more. The position includes both field work, laboratory and data analysis work.

Deadline : 13.06.2023

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(10) PhD Degree – Fully Funded

PhD position summary/title: INTEGRATED PHD STIPEND IN COMPUTER VISION FOR QUALITY INSPECTION

The PhD project will focus on automating the visual quality inspection in robotics applications. The candidate will be involved in two research projects. The first research project is in”Flexible Laser Integrated Production”, which aims to develop inexpensive and fast tools for prototyping and producing small quantities of complex and free-form parts of sheet and tube metal parts. In this project, our role is to research how to use 3D sensing to scan double curved surfaces with an adequate signal/noise ratio that the signal can be used for laser processing. The second project is within the textile industry and focuses on the development of recycled and local bio-based fibres into new textile products. In this project, our task consists of researching‘on-site’ quality assessment for knitted, woven and printed material. This includes selection of sensor and development and test of a computer vision algorithm(AI).

Deadline :10.06.2023

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(11) PhD Degree – Fully Funded

PhD position summary/title: PHD STIPEND IN DEVELOPMENT OF AN ARTIFICIAL INTELLIGENCE-BASED METHODOLOGY FOR HEMOGLOBINOPATHY SCREENING

Hemoglobinopathies, or structural variations in hemoglobin, and thalassemia syndromes are the most common genetic illnesses in the world. A variety of number discrimination formulae(index) based on red blood cell(RBC) parameters have been developed throughout the years to aid in the early identification of individuals. However, because of the existence of several variances and variations in RBC measurements for individuals from various geographical locations and age groups, those are unlikely to be adequate to meet the need for early screening sensitivity and specificity. The project will have a substantial influence on the early-stage categorization of individuals in order to prevent disease transmission and death.

Deadline :  10.06.2023

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(12) PhD Degree – Fully Funded

PhD position summary/title: INTEGRATED PHD STIPEND IN ENERGY-EFFICIENT IOT COMMUNICATION

The objective of the PhD position is to carry out multi-disciplinary research within the areas of wireless communication, protocol design, energy-efficiency, reliability, and security.  In particular, the candidate should possess knowledge of communication systems and networking, internet of things protocols, network security, basic low-voltage electronics, probability and statistics, programming and embedded platforms. Knowledge about performance modelling and analysis, practical experience with network simulation tools, and ability to set up a prototype on an embedded platform are required.

Deadline :08.06.2023

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(13) PhD Degree – Fully Funded

PhD position summary/title: ONE OR MORE PHD STIPENDS/INTEGRATED STIPENDS IN SELF-SUPERVISED LEARNING FOR DECODING OF COMPLEX SIGNALS

The typical situation is that unlabelled data is abundant, and this has given rise to paradigms such as semi-supervised and self-supervised learning(SSL). Both directions in SSL are based on combining large amounts of unlabelled data with limited labelled data. While semi-supervised learning invokes generative models to learn representations that support learning with few labels, self-supervised learning is based on supervised learning with a supervisory signal derived from the data itself. The goal of this PhD study is to develop novel semi-supervised and self-supervised methods for modelling signals of various modalities(e.g., speech, audio, vision, text) and analyse the complexity of the developed models. The PhD student during the study is further provided with opportunities to do research at other units and the headquarter of the Pioneer Centre as well as abroad.

Deadline :  06.06.2023

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(14) PhD Degree – Fully Funded

PhD position summary/title: RE ANNOUNCEMENT – PHD IN HIGHER EDUCATION DEVELOPMENT

University educators are experts in various disciplines, but not necessarily in pedagogy. Therefore, a wide range of professional development(PD) activities have been organized to support university educators to explore and practice alternative and innovative pedagogical methods that maximize student learning. While most current PD activities focus on supporting the enhancement of constructivism-based and student-centered learning, it is not ensured that the participants of such activities would automatically learn from these PD activities and develop anticipated practices. The linear approaches to thinking on how university educators may learn from PD activities have been criticized, Rather, the research field of how teachers learn is turning to a paradigm that perceives teacher learning as a complex matter involving multiple interacting dimensions, including individual characteristics such as motivation, interest, intentions, cognitions, efficacy, and values in teaching, which may be largely impacted by prior experiences, as well as how educators interact with students, colleagues and their institutional environment. Complex factors may influence university educators’ practice of constructivism-based and learner-centered strategies and methods, including personal factors such as motivation and beliefs about teaching and learning and institutional aspects such as facilities and policies. While educators’ pedagogical beliefs have massive impact on their activities regarding strategy choices, organizing teaching activities and assessments, Discrepancy between educators’ beliefs and practices is often observed, which may generate obstacles to the success of PD activities. In sum, teacher learning from PD activities is situated, context-bounded and culturally sensitive, which calls for further research attention based on mixed methodological designs.

Deadline :06.06.2023

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(15) PhD Degree – Fully Funded

PhD position summary/title: PHD STIPEND – THIN-WALLED PARTS: LINKING MANUFACTURING PROCESS WITH COMPONENTS’ DYNAMIC PROPERTIES FOR ROBUST DESIGN

APRORI is an international consortium of high-profile universities, research institutions and companies located in Belgium, Denmark, the Netherlands and Slovenia. The European manufacturing sector is experiencing and will continue to experience a transition, characterized by the exponential growth of additive manufacturing, the 4th industrial revolution(Industry 4.0). The ambition of the APRIORI training network is to fully support this evolution by training 10 doctoral candidates(DCs) and future innovators to deal with two key technical challenges within the manufacturing sector: the uncertainty induced by the production process and the increasing complexity of the manufactured goods characterized by the critical parts or components. This will be achieved by developing the skills and new technologies that will enable for the first time the development of a unique integrated product design strategy that will drastically improve the performance of critical parts or components under uncertainties.

Deadline : 05.06.2023

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(16) PhD Degree – Fully Funded

PhD position summary/title: PHD STIPEND IN STATISTICAL AND MACHINE LEARNING MODELLING WITH THE IMPLEMENTATION OF RISK STRATIFICATION FOR CANCER THERAPY

The PhD student will work with an interdisciplinary team consisting of physician researchers in hematology and oncology, AI/ML experts, a pre-hospital research unit, and a microbiology team to support the project. The clinical team of the consortium has expertise in hematological, oncological, and microbiological specialties. The technical team of the consortium is specialized in statistics, AI/ML, mathematical modeling, algorithms development, and decision support tool(DST) implementation. The consortium has strong, international, and innovative research collaborations which comprise the full life cycle of developing and implementing statistical DST from basic science to strategic and applicable research. You can find more at:

Deadline :  03.06.2023

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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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