Are you a Master’s graduate looking for fully funded PhD opportunities? Explore the range of funded PhD programs available at the Technical University of Denmark, Kongens Lyngby, Denmark. Apply online now and kickstart your doctoral journey!
1. Fully Funded PhD Position in Photonics Integrated Circuits for Biomedical Imaging
Summary of PhD Program:
We are seeking a highly motivated and talented candidate for a PhD position to join our team and contribute to our efforts in developing integrated optical phased array (OPA) for biomedical imaging. The successful candidate will work on an innovative project aimed at developing integrated optical phased array-based multi-photon lightsheet fluorescence microscopy, which has the promising potential to revolutionize current biological studies and diagnostic methodology. This position offers a unique opportunity to engage in photonic integrated circuits (PIC) research, collaborate with DTU Health Tech and Faculty of Health and Medical Sciences at Copenhagen University, and drive the development of next-generation biomedical imaging solutions.
Application Deadline: 02/15/2025
2. Fully Funded PhD Position in Nonlinear Strain Paths in Sheet Metal Forming
Summary of PhD Program:
The PhD project will explore formability and contact mechanics under non-linear strain paths, where the principal strain directions change. In the limit, the major and minor principal strain axes may even swap. This will add a new dimension to the understanding of both formability and the development of real contact area against a tool surface, which is important for estimation of friction. A new tool will be developed for combining real-time measurements of in-plane strains and live-update of the actual formability curve/surface accounting for the nonlinear strain paths. Analytical and numerical modeling will be carried out to enrich the understanding of the strain path influence on both formability and real contact area.
Application Deadline: 01/14/2025
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3. Fully Funded PhD Position in Algorithmic Fairness for Medical Imaging
Summary of PhD Program:
Algorithmic bias is a fundamental problem when using machine learning and AI to solve problems that involve humans. While monitoring and mitigating algorithmic bias is crucial for the safe and fair utilization of AI, bias measurement becomes an even greater challenge when labels are systematically wrong for certain unfortunate groups. This project aims to document and understand the effect of label bias on machine learning and AI algorithms, and to propose solutions to overcoming label bias both when diagnosing and mitigating AI bias.
Application Deadline: 01/15/2025
4. Fully Funded PhD Position in Robust and Interpretable Deep Learning: Predicting Fetal Development from Ultrasound Imaging
Summary of PhD Program:
Join an interdisciplinary team of researchers working to create an enhanced understanding of fetal development through multimodal data and interdisciplinary collaboration between clinicians, statisticians and machine learners. As a PhD student, your main responsibility will be to develop robust and interpretable models based on a large ultrasound imaging database. Your work may include foundation models, temporal models, uncertainty quantification and explainable AI, as well as collaborating closely with both clinical PhD students as well as technical PhD students working with complimentary data modalities.
Application Deadline: 01/15/2025
5. Fully Funded PhD Position in Human-XAI Collaboration for Improved Fetal Ultrasound Imaging
Summary of PhD Program:
Are you our new colleague? We are seeking a PhD student in Explainable AI (XAI) and Human-Computer Collaboration who is passionate about creating and validating XAI algorithms based on their actual utility to its users. This project is dedicated to developing and validating XAI algorithms designed to support clinicians in obtaining higher quality fetal ultrasound images, while simultaneously improving their image acquisition skills. In addition to creating and implementing XAI algorithms, your research will also include developing quantitative learning analytics that quantify the skill of clinicians based on their results and behavior while performing fetal ultrasound scans.
Application Deadline: 01/15/2025
6. Fully Funded PhD Position in energy storage using topological spin textures in oxides
Summary of PhD Program:
The objective of this project is to investigate the possibility of storing the energy in topological spin textures like skyrmions. Due to the magnetic exchange interaction, the stability of each skyrmion can be enormously high and can easily at room temperature have an average lifetime that would enable energy storage over timescales of years! Similarly, due to the large displacement speeds of skyrmions, one could imagine a corresponding charging and discharging process of the energy storage principle on very short timescales – something together with the unparalleled energy storage stability cannot be achieved with any existing technology today.
Application Deadline: 01/01/2025
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7. 02 Fully Funded PhD Position in Advanced Methods for Human Behaviour Analysis in Future Transport Systems Using Virtual Reality
Summary of PhD Program:
The PhD positions are part of the research project IMMERSION: Explaining human decision-making by combining choice and process data, which is funded by a European Research Council (ERC) Starting Grant. IMMERSION aims to advance the study of human decision-making by developing new innovative methods for combining choice and neurophysiological process data. This entails new models for integrating choice and process data, new statistical inference procedures tailored to such models, and new methods for collecting rich behavioural data in immersive experiments. The project also includes substantial empirical work applying IMMERSION’s methodological innovations to real-world problems with implications for the human-centric design of future transport systems.
Application Deadline: 02/15/2025
8. Fully Funded PhD Position in Innovative Double Loop for Integrated Heating and Cooling Networks
Summary of PhD Program:
This project offers an exclusive PhD opportunity as part of an EUDP-funded initiative. You will be part of a unique team that includes utility companies, district energy components manufacturers, and national experts in district energy technology. The project will investigate an innovative district energy network that embeds heating and cooling in the same infrastructure. Novel hydraulic controls and optimized temperature profiles are the key to securing a future-proof design in line with the 4th Generation District Heating and Cooling concept.
Application Deadline: 1/03/2025
9. Fully Funded PhD Position in Organic Chemistry and Homogeneous Photocatalysis
Summary of PhD Program:
We are looking for a very motivated and ambitious candidate for a project within the field of photoinduced transition-metal catalysis for enantioselective C-H functionalizations. The focus will be on methodology development of novel reactions within this field. The work will include organic synthesis of starting materials and reagents, development and optimization of novel organic reactions, as well as substrate scope investigation including isolation and characterization of products.
Application Deadline: 01/15/2025
10. Fully Funded PhD Position in Logic and AI
Summary of PhD Program:
The project takes departure in epistemic planning based on dynamic epistemic logic (DEL), a line of research within symbolic AI initiated by the PI in 2011. It allows agents, e.g. robots, to reason about other agents, e.g. humans, as part of their planning process. The crucial novelty of the proposed project is to develop and integrate logical models of attention with the aim of 1) achieving better computational complexity and practical efficiency; 2) allow robots to reason about the limited attention of humans.
Application Deadline: 02/01/2025
11. Fully Funded PhD Position in AI-Based Dynamic Blackout Anticipation Methods for Future Power Systems
Summary of PhD Program:
We look for a talented, self-motivated, and team-oriented individual who thrives in a collaborative environment and enjoys tackling complex topics. As a PhD student in our team, you will be part of a world-leading research environment and contribute to the development of next-generation AI-based tools for power systems. Your work will focus on developing dynamic blackout anticipation and prevention methods using a digital twin of future power systems. This involves developing AI-based dynamic security assessment tools to enhance decision-making and control processes, collaborating on employing a digital twin of an actual power system, the Bornholm Energy Island, and innovating solutions to improve power system resilience.
Application Deadline: 2/28/2025
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12. Fully Funded PhD Position in Development and Implementation of an Autonomous Decision Support System for Optimized Maintenance in Wind Turbine Infrastructure
Summary of PhD Program:
We are seeking a passionate, curious, and enthusiastic new team member committed to addressing climate change by advancing renewable energy systems. We are looking for someone who thrives on solving complex problems, isn’t afraid to ask challenging questions, and possesses the determination to pursue innovative solutions in a rapidly evolving field.
Application Deadline: 01/31/2025
13. Fully Funded PhD Position in Design of automatic maintenance recommendation system for wind turbine components
Summary of PhD Program:
If you are aspiring for a career in industrial R&D or academia, with a passion for the production of low carbon energy, particularly wind energy, and its most intriguing research challenges, then this subject may be of interest to you. We are seeking a passionate, curious, and enthusiastic new team member committed to addressing climate change by advancing renewable energy systems. We are looking for someone who thrives on solving complex problems, isn’t afraid to ask challenging questions, and possesses the determination to pursue innovative solutions in a rapidly evolving field.
Application Deadline: 01/31/2025
14. Fully Funded PhD Position in structural design of wind turbine blades based on hemp fibres and bio-based resins
Summary of PhD Program:
DTU offers a PhD position linked to the Circular Bio-based Europe-funded project SSUCHY-Next – Developing the supply chains for industrial hemp fibre and bio-based resins towards high-performance circular bio-based composites. DTU leads a work package on developing large-scale wind turbine blade applications. To demonstrate their viability for hemp fibre and bio-based resins, DTU will work closely with the blade manufacturer Olsen Wings A/S to design, manufacture, and test 12.6-meter wind turbine blades based on the developed bio-based materials.
Application Deadline: 01/08/2025
15. Fully Funded PhD Position in Integrated Direct Air Capture and CO2 Utilization
Summary of PhD Program:
In response to growing environmental concerns and the urgent need for decarbonization across all sectors of the economy, the demand for CO2 capture has surged over the past decade. Direct Air Capture (DAC) has emerged as a crucial carbon-negative technology capable of removing CO2 directly from the atmosphere, thereby helping to reduce its concentration. Our goal is to couple a DAC system with electrochemical conversion to directly convert the captured CO2 from air to value-added materials. This integrated approach aims to pioneer a CO2 capture and electrolysis process that reduces overall energy consumption.
Application Deadline: 01/31/2025
16. Fully Funded PhD Position in Smart Materials for Sustainable Indoor Air Quality Management
Summary of PhD Program:
Are you pursuing a career in science and seeking the perfect foundation to achieve your ambitions? The ideal opportunity awaits you. At the Department of Environmental and Resource Engineering (DTU Sustain), we are seeking a highly motivated PhD student to advance our understanding of using smart materials for sustainable built environment control. In this interdisciplinary project funded by the EU Horizon program, you will have the opportunity to develop and utilize cutting-edge smart materials (e.g., metal-organic frameworks) to design a groundbreaking air-cleaning system that can achieve a substantial 30-50% reduction in associated energy consumption. The new system developed in this project will be tested in different climates across Europe.
Application Deadline: 2/15/2025
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17. Fully Funded PhD Position in Prediction and Modelling of Damage Mechanisms of Extra-Large Wind Turbine Blades
Summary of PhD Program:
The objective of the PhD study will be to evaluate risks of wind turbine blade failure and damage by increasing the blade sizes, up to extra-large wind turbine blades. With increasing wind turbine blade size, the likely damage mechanisms of wind turbine blades are changing. Torsion forces become stronger, leading to the possible blade damage and buckling collapse. This leads to changes in main blade damage mechanisms, different from those observed in current blades and collected in failure reports. In this work, you will investigate mechanisms of damage of extra-large wind turbine blades, using the methods of computational mechanics and finite element modelling.
Application Deadline: 01/20/2025
