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 PAEDIATRIC INFLAMMATORY BOWEL DISEASE EPIDEMIOLOGY
The purpose of PREDICT is to study the causes and prognosis of inflammatory bowel disease(IBD), which are chronic and disabling diseases affecting millions of young people worldwide. PREDICT is a diverse, interdisciplinary center with a central campus in Copenhagen and six national partner institutions. Principal investigators include clinicians, basic scientists, data scientists, and epidemiologists. In addition to national partnerships, PREDICT has strong collaborations with leading international institutions in the field.
The PhD project will focus on the paediatric part of the North Denmark IBD(NorDIBD) cohort and is expected to lead to international publications and international collaboration. Based on the unique population-based cohort and combining this with Danish register data, the PhD stipend will examine the phenotypes of paediatric IBD.
As a PhD fellow you will be working closely with the Center’s interdisciplinary group of scientists to perform forefront, international research. You will be responsible for literature search, research protocol development, statistical analysis, writing of scientific papers, and presentation of your work at national and international meetings. You will work with basic and data scientists, and researchers who will support you in the development of these skills.
Deadline : 09.09.2024
(02) PhD Degree – Fully Funded
PhD position summary/title: PHD STIPEND AT THE CENTER FOR NEUROPLASTICITY AND PAIN (CNAP)
We strive to identify and modulate key features of human pain neuroplasticity and its relevance for persistent pain in humans.
CNAP is a research Center of Excellence inaugurated by the Danish National Research Foundation at Aalborg University, Denmark(www.cnap.hst.aau.dk). CNAP applies a basic research approach where new advanced biomedical provocation and probing platforms are being discovered and applied to study novel aspects of the human pain neuroplasticity. The ambition of CNAP is to identify and modulate key features of human pain neuroplasticity through a systematic approach, including provoking, probing and modulation of the dynamic neuroplastic properties of the pain system. We believe that this approach over time will foster new fundamental discoveries and change the state of the art and offer novel ways for pain treatment. Our world class lab facilities enable advanced quantitative sensory/pain testing, application of advanced neurophysiological techniques(e.g. EEG, TMS, TMS-EEG, rTMS, HD-tDCS), bio-medical techniques(e.g. linked with epigenetics and general biomarkers), as well as research based on animal models(e.g. rodents and pigs).
CNAP is a dynamic and international research environment: approximately 60% of our staff is international, with an almost 50-50% gender balance. Our working language is English, and you will also be writing your thesis in English. We are highly interdisciplinary and include experts within e.g. biomedical engineering, neuropsychology, pharmacology, biophysics, and medicine with industrial specialisation, and medicine. You will thus be joining an inspiring, enriching, and productive cross-disciplinary research centre including staff with internationally recognized track records.
CNAP is affiliated to the Department of Health Science and Technology at the Faculty of Medicine, which does multidisciplinary research and teaching in health science and technology(e.g. medicine and biomedical engineering). The strategic focus of the department is to be leading within digital health and being well-known for medical doctors and engineers collaboratively developing solutions together. The department has more than 250 employees and is responsible for more than 1700 students.
Deadline : 30.08.2024
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(03) PhD Degree – Fully Funded
PhD position summary/title: PHD STIPEND IN HYBRID, ANALOGUE AND DIGITAL LEARNING MATERIALS, SPACES, AND TOOLS IN SCIENCE EDUCATION ENVIRONMENTS
The PhD scholarship is an integral part of NAFA/ CESE and falls into the CESE research strategy. The project aims to support and strengthen research and practice in NAFA by providing insights into and development of aspects of science education focusing on interaction between hybrid, analogue and digital learning materials, spaces and/or technologies in student-centered learning environments in connection with Danish science education.
This can be achieved through different areas of focus such as the impact and interaction of specific new or existing(digital, analogue and hybrid) learning materials, tools or technologies on science education practice or the potentials and challenges associated with such learning materials, tools, or technologies. This includes, for example, their advantages and disadvantages in supporting inclusive and learner-centered learning environments; development of such materials in collaboration with science and engineering researchers, or how specific materials, tools and/or technologies can support certain skills and competencies in relation to supporting students’ learning of science knowledge and working methods such as design thinking, maker education, critical thinking, creativity, action competence, etc.
Applicants can explore this area with great freedom to shape and adapt the project’s methods and approaches in accordance with the research questions and the project’s objectives. The project theme may be interpreted broadly, and all projects that fall within the framework of the theme will be evaluated equally. It is expected that the applicant will provide a project description that contains motivation for the project, the project’s expected contribution to research and practice in NAFA and beyond, and a preliminary plan for the project’s execution.
The PhD project is anchored at AAU in Copenhagen at the Department of Sustainability and Planning, Aalborg Center for Problem Based Learning in Engineering Science and Sustainability.
Deadline : 30.08.2024
(04) PhD Degree – Fully Funded
PhD position summary/title: PHD STIPENDS IN PRECISION HEALTH DIAGNOSTICS FOR IMPROVED PREDICTION, EARLY DIAGNOSIS AND MONITORING OF ADVERSE EFFECTS – A SINO-DANISH COLLABORATION
Department of Health Science and Technology carries out multidisciplinary research, teaching and dissemination within biomedical engineering, sports science and medicine. The department has more than 250 employees and is responsible for more than 1700 students. More than 75 PhD students are enrolled in the doctoral school affiliated to the department. The researchers are organized in a number of research groups and centres, and the department has at its disposal translational medicine laboratory facilities including multiOmics, molecular biology, brain analysis, 3D movement analysis, respiratory and circulatory examinations, sensory and motor functions analysis, etc. All study programs at Aalborg University involve problem-based learning, organized around cases and projects. For more, see:www.hst.aau.dk.
As The Faculty of Medicine wishes PhD positions to enable careers both within and outside the university, the vacant positions are created in such a way that the competences achieved in the position will qualify for both a research career and a career in the commercial and/or public sector. At least a year before the position expires, you will be offered an interview to clarify your future career.
We are excited to offer two fully-funded PhD scholarship opportunity for a motivated and ambitious researcher to join our dynamic team. The selected candidates will explore the intricate landscape of autoimmune reactions, dissecting their roles in both autoimmune diseases and cancers. Investigation of the immunological role of extracellular vesicles and systems biology role of autoantibodies are of key interest but the PhD candidates have wide options to design their study.
The applicant should have research interest in:(1) Understanding the mechanisms underlying autoimmune reactions;(2) Comparing the immunological pathways active in autoimmune diseases versus cancers and(3) Investigating potential therapeutic interventions to modulate these reactions.
Deadline : 15.08.2024
(05) PhD Degree – Fully Funded
PhD position summary/title: PHD FELLOWSHIP IN ADOLESCENT HEALTH WITH FOCUS ON BODY AND WELL-BEING
We are excited to announce a PhD position within a new research project examining how weight-related understandings and practices shape children’s body images and well-being. The main responsibility of the successful candidate is conducting go-along ethnography with children following them across school, home and leisure settings. Also, the candidate is to collaborate closely with a postdoc, so that insights are shared across the two sub-studies within the research project. Further the candidate is to involve not only children but also their parents, teachers, coaches etc. in a sensitive and reflective way, along with communicating findings to scientific and public audiences.
Deadline : 15.08.2024
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(06) PhD Degree – Fully Funded
PhD position summary/title: POSITION AS PHD FELLOW IN SUSTAINABLE INNOVATION IN MULTINATIONAL ENTERPRISES
We are seeking a highly motivated and dedicated individual who has a deep interest and passion for the research area, combined with intellectual curiosity and a strong desire to learn, as well as contribute to new knowledge, to join our team as a Doctoral Researcher. This PhD position presents a unique opportunity to engage in cutting-edge research focused on sustainable innovation in multinational enterprises(MNEs) and global value chains(GVCs). The research aims to enlighten practitioners, academics, and policymakers about the intricacies and prospects presented by eco-centric international business model innovation in MNEs. The goal is to generate practical recommendations that bolster the sustainability of international business practices, thereby enhancing economic, environmental, and social performance across MNEs and their extensive GVCs.
Deadline : 13.08.2024
(07) PhD Degree – Fully Funded
PhD position summary/title: PHD FELLOWSHIP IN SOCIOLOGY
The PhD fellowship is part of the project “Association Participation among Immigrant Children: A Vehicle for Integration?” funded by the Independent Research Fund Denmark. The project investigates how participation in associations such as football clubs, scout troops, role-playing groups, and choirs varies among children of immigrants from different social and ethnic backgrounds in Sweden, the Netherlands, Germany, the United Kingdom, and Denmark. Additionally, it will examine how their participation affects their educational performance, social networks, and values.
The PhD fellow will be responsible for conducting Work Package 1. This work package explores how association participation varies among immigrant children with different socioeconomic, parental, and ethnic backgrounds in Sweden, Germany, the Netherlands, England, and Denmark. The work package will use quantitative methods, including multilevel regression models, to analyse data from the Children of Immigrants Longitudinal Study in Four European Countries(CILS-EU) and the Danish Citizenship Survey, combined with administrative register data.
Associate Professor Hans-Peter Y. Qvist is the project’s principal investigator and will serve as the primary supervisor for the PhD project. The PhD fellow will also collaborate with Frank van Tubergen from NIDI and Utrecht University. The PhD fellow is expected to spend six months at NIDI/Utrecht University during the project.
Deadline : 12.08.2024
(08) PhD Degree – Fully Funded
PhD position summary/title: PHD POSITIONS IN COMPUTER VISION
Milestone Systems A/S is a Danish headquartered company part of the Canon group. We develop Video Management Software (VMS) and AI-based Video Analytics solutions both on premise and in the cloud. Our VMS is used to record video data from various ranges of surveillance cameras, store it on external hard drives, and retrieve it when needed. Furthermore, the captured data can be provided to Video Analytics solutions to help our understanding from the video, to for example, detect an object, track it across one or multiple cameras’ field of view(s), recognize specific (inter-)actions, detect anomalies, etc.
We are also interested in looking at legal and ethical considerations of developing AI, specifically how to deal with any possible concerns/legislations, for example, unlearning to help with the “right to be forgotten”.
Milestone has two open PhD positions at Aalborg University (AAU) in Denmark on one or more of the topics mentioned above, starting from 1 September 2024 or soon after- and from 1 December 2024 or soon after.
The candidates must have obtained the MSc degree before starting in the position. The successful candidates will be part of the Milestone Research Program at AAU, and Visual Analysis and Perception (VAP) lab.
You may read more about the department here: https://www.create.aau.dk/om-create
If you have any questions, please feel free to drop an email to Professor Kamal Nasrollahi, [email protected].
PhD stipends are allocated to individuals who hold a Master’s degree. PhD stipends are normally for a period of 3 years. It is a prerequisite for allocation of the stipend that the candidate will be enrolled as a PhD student at the Technical Doctoral School of IT and Design in accordance with the regulations of Ministerial Order No. 1039 of August 27, 2013 on the PhD Programme at the Universities and Certain Higher Artistic Educational Institutions. According to the Ministerial Order, the progress of the PhD student shall be assessed at regular points in time.
Deadline :08.08.2024
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(09) PhD Degree – Fully Funded
PhD position summary/title: PHD STIPEND IN GEOINFORMATICS
The purpose of the PhD study is to carry out research in relation to the new Horizon Europe SEADITO project, which will start September 1, 2024. SEADITO will be led by the Research Group for Geoinformatics& Earth Observation(Department of Sustainability and Planning) and conducted in collaboration with a European-wide partnership of universities and research institutes. The aim of the project is to develop a targeted set of analytical methods and tools to support the equipment of the European Digital Twin Ocean(the EU DTO initiative EDITO) including integrating social-ecological models in order to establish a comprehensive decision support platform.
The tools and methods developed in SEADITO will contribute to increasing transdisciplinary abilities of social-ecological models by updating and integrating them for improved Ecosystem-based Management, and thereby support the EU DTO initiative EDITO and the EU Mission‘Restore our Ocean and Waters’(Mission Ocean) aiming at protecting and restoring the health of our ocean and waters through research and innovation, citizen engagement, and blue investments by 2030.
The PhD research must be oriented towards developing tools for social-ecological models to support the protection and restoration of ocean and inland waters, which could imply a focus on specific topics as: a) developing workflows quantifying and integrating cultural and behavioural aspects: b) developing tools for scenario building; and/or c) developing visual demonstrators of social-ecological models.
The applicant is expected to have a master’s degree in geoinformatics, spatial planning, ecology, oceanography or similar fields. Experience with R and Python will be considered an advantage.
The PhD student is expected to contribute to teaching topics related to geoinformatics or related studies at Department of Planning, on bachelor as well as master levels.
Deadline : 04.08.2024
(10) PhD Degree – Fully Funded
PhD position summary/title: PHD STIPEND IN NON-TERRESTRIAL OPEN RADIO ACCESS NETWORKS FOR 6G
Non-terrestrial networks(NTN) are expected to be the key component of future 6G systems. In NTN networks, low Earth orbit satellites, drones, and high-altitude platforms will take the role of space and aerial base stations, delivering a truly global connectivity. The main challenge in such complex heterogenous and dynamic 3D environments is the timely and distributed resource management and optimization of the network. At the same time, there is a growing interest in the modular and disaggregated open radio access network(O-RAN) architecture for the realization of flexible, highly-distributed and intelligent networks, and this interest extends to NTN.
Deadline : 31.07.2024
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(11) PhD Degree – Fully Funded
PhD position summary/title: PHD FELLOWSHIP FOR THE CRITICAL EXPLORATION OF GENERATIVE AI, DIGITAL PHENOTYPING AND MENTAL HEALTH
The purpose of AIM is to conduct a wide-ranging and critical study of the dynamics and developments of digital mental health. Artificial intelligence is rapidly entering the field of mental health, spurred on by the high prevalence of mental health problems and a lack of treatment access. In response to these challenges, academic researchers and private companies are increasingly developing products and services for mental health which are based on generative AI, in the hope that AI can improve psychiatry and help solve the mental health crisis. These technologies include digital phenotyping which focuses on diagnosing and monitoring mental health problems, and chatbots for treatment of mental health problems. However, developing and using generative AI for mental health problems involve complex and unanswered questions, and we must critically explore the governmental, technical, and ethical challenges that arise from these pressing developments.
AIM focuses on generative AI and machine learning for mental health, with a particular emphasis on two emerging technologies which utilize generative AI and machine learning: chatbots for mental health therapy and digital phenotyping for detecting, diagnosing and/or monitoring mental health problems. AIM will explore these technologies and the emerging field of digital mental health, with a particular focus on questions of governance(e.g., how are these technologies governed and made accountable in practice?), explainability(e.g., how is explainability understood by researchers, developers and users within AI based therapy and diagnostics for mental health?) and trust(e.g., how and why do people trust digital mental health technologies?).
The overarching methodology of AIM is qualitative, with a focus on multi-sited, qualitative case studies of chatbots/digital phenotyping as emerging technologies, drawing on participant observation, fieldwork and/or semi-structured interviews with designers, researchers, users and other key stakeholders. The theoretical framework of AIM is broadly situated within Science and Technology Studies.
AIM is a collaborative research project, which will consist of four researchers(2 PhD fellows, the PI, one research assistant), and as such all researchers will be expected to work together in gathering and analyzing empirical materials. At the same time, however, it is expected that an independent research project is conducted by the PhD applicant.
Deadline : 31.07.2024
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(12) PhD Degree – Fully Funded
PhD position summary/title: PHD FELLOWSHIP FOR THE CRITICAL EXPLORATION OF GENERATIVE AI AND CHATBOTS FOR MENTAL HEALTH
The purpose of AIM is to conduct a wide-ranging and critical study of the dynamics and developments of digital mental health. Artificial intelligence is rapidly entering the field of mental health, spurred on by the high prevalence of mental health problems and a lack of treatment access. In response to these challenges, academic researchers and private companies are increasingly developing products and services for mental health which are based on generative AI, in the hope that AI can improve psychiatry and help solve the mental health crisis. These technologies include digital phenotyping which focuses on diagnosing and monitoring mental health problems, and chatbots for treatment of mental health problems. However, developing and using generative AI for mental health problems involve complex and unanswered questions, and we must critically explore the governmental, technical, and ethical challenges that arise from these pressing developments.
AIM focuses on generative AI and machine learning for mental health, with a particular emphasis on two emerging technologies which utilize generative AI and machine learning: chatbots for mental health therapy and digital phenotyping for detecting, diagnosing and/or monitoring mental health problems. AIM will explore these technologies and the emerging field of digital mental health, with a particular focus on questions of governance(e.g., how are these technologies governed and made accountable in practice?), explainability(e.g., how is explainability understood by researchers, developers and users within AI based therapy and diagnostics for mental health?) and trust(e.g., how and why do people trust digital mental health technologies?).
Deadline : 31.07.2024
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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