Do you have a Master’s degree and are looking for fully funded PhD opportunities? University of Copenhagen, Denmark is now accepting applications for several funded PhD programs across a range of research areas.
1. Fully Funded PhD in Behavioral Barriers to the Green Transition
Summary of Funded PhD Program
With global energy demand projected to increase by 47% by 2050, improving energy efficiency is crucial for transitioning to a low carbon economy. While technological progress is a precondition, ultimately, the “human factor” determines energy consumption. Traditional technical and economic frameworks fail to account for why individuals are not adopting seemingly cost-effective energy-saving technologies or reacting to existing energy policy. Understanding what drives this gap is essential for effective policy targeting and achieving urgent energy savings. Are people paying attention to electricity prices and if yes, do they change their habits? Are the current energy policies we have effective and fair? What behavioral or cognitive barriers are there when it comes to changing energy consumption behavior or adopting energy-efficient technology?
Application Deadline: 15 January 2025
Follow for daily update
Telegram
2. Fully Funded PhD in Behaviour and Inequality
Summary of Funded PhD Program
With access to Denmark’s globally unique data resources, you’ll explore these issues in depth, combining insights from Public Economics, Labor and Health Economics, Behavioral Economics, and more. Supported by the Danish National Research Foundation, CEBI merges administrative data with behavioral experiments and surveys to offer an unmatched empirical foundation for your research. This is more than a PhD — it is a chance to work with world-class mentors on questions that matter, using advanced methodologies to make a meaningful impact.
Application Deadline: 15 January 2025
3. Fully Funded PhD in Economics
Summary of Funded PhD Program
The PhD programme provides PhD students with strong research training which opens up a window of opportunity to a variety of careers within the private and public sectors. The programme includes the drafting of a PhD thesis, active participation in research networks, PhD courses, teaching, and other forms of knowledge dissemination. The PhD programme can be undertaken as a three-year full-time study within the framework of the 5+3 study programme, a four-year full-time study programme within the framework of the 4+4 study programme, or a five-year full-time study programme within the framework of the 3+5 study programme.
Application Deadline: 15 January 2025
Explore Fully Funded Master’s Programs
4. Fully Funded PhD in Quantum Optics, Atomic Physics and Materials Science
Summary of Funded PhD Program
This PhD project aims to advance quantum materials growth with unprecedented precision, cleanliness, and purity. Leveraging the latest advancements in quantum optics and atomic manipulation, this project pushes crystal growth processes to new heights. Molecular Beam Epitaxy (MBE) and ultra-high vacuum (UHV) technology will be utilized to fabricate quantum circuits under tightly controlled conditions, bringing atoms into play at the single-atom level for an unprecedented approach to crystal growth.
Application Deadline: 15 January, 2025
5. Fully Funded PhD in Interpretable Natural Language Processing
Summary of Funded PhD Program
The PhD fellowship is offered with Pepa Atanasova as the primary (de facto) supervisor, and co-supervised with Isabelle Augenstein, who serves as the formally designated principal supervisor. The successful candidate will engage in developing innovative methods for interpreting and explaining the inner workings of natural language processing models. The research will broadly align with the main interests of primary supervisor and the objectives of the CopeNLU group. It may include exploring the mechanisms by which language models process and represent knowledge, devising methods to provide reliable explanations for models’ decision-making processes, or developing techniques to ensure accountability in model’s behavior.
Application Deadline: 15th January 2025
Explore Fully Funded PhD Programs in United States
6. 03 Fully Funded PhD in Machine Learning
Summary of Funded PhD Program
The project will explore the impact and mitigation of adversarial threats in online learning, specifically in distributed (a.k.a. federated) settings. Growing interest in public-domain utilization of federated learning, such as in healthcare and media recommendation, has led to significant developments in protecting models against adversarial manipulation in the training phase. Prior work, however, largely focuses on supervised learning and ignores the paradigm of online learning. The latter is becoming more relevant in this age of language models, where we seek to adapt models on the fly, using real-time information. To prevent these language models from getting manipulated by poisonous or erroneous information (a.k.a. misinformation), it is of critical importance to develop robust online learning algorithms.
Application Deadline: 15th January, 2025
7. Fully Funded PhD in Theoretical Computer Science
Summary of Funded PhD Program
The PhD students will be part of a world-leading research environment (currently ranked 1st in the EU in algorithms and complexity theory by CSrankings.org), with a strong presence at top-tier conferences like STOC, FOCS, SODA, CCC and SoCG. We are home to the Basic Algorithms Research Copenhagen (BARC) centre (https://barc.ku.dk/), joint with the IT University of Copenhagen, and have extensive collaborations with the Technical University of Denmark (DTU) and with Lund University on the Swedish side of the Øresund Bridge, as well as with our many visitors. We aim to attract top talent from around the world to an ambitious, creative, collaborative, and fun environment.
Application Deadline: January 10, 2025
Explore Fully Funded PhD Programs in UK
8. Fully Funded PhD in condensed matter physics
Summary of Funded PhD Program
The project will accelerate the green transition through development and tests of new neutron and synchrotron x-ray instrumentation for optimisation of Power-to-X processes and materials. The main contributions to the project from the fellow will be:
- Designing digital twins of the proposed instrumentation in the open-source simulation environments McStas and McXtrace.
- Use the developed models to train machine learning algorithms to make fast predictions of experimental performance and background behaviour.
- Test the predictions against actual measurement of the new instrumentation and use these findings to finetune the algorithms.
Application Deadline: 6 January 2025
9. Fully Funded PhD in Biocomplexity and Biophysics
Summary of Funded PhD Program
With the proposed project, we will study the role of liquid-liquid phase separation in facilitating DNA repair processes in the cell nucleus as a model to establish a fundamental biological understanding of how biomolecular droplets allow the cell to orchestrate its biochemical processes. We will achieve this through a cross-disciplinary effort that combines molecular genetics and state-of-the-art microscopy with biophysical modelling and computational simulations. The model approach will be inspired from statistical physics and the theory of phase transitions and droplet formation. By the introduction of active chemical reactions, we will study the physics of droplet formation and maintenance in time and space.
Application Deadline: 6 January 2025
Explore Fully Funded PhD Programs in Europe
10. Fully Funded PhD in Molecular Cell Biology
Summary of Funded PhD Program
With the proposed project, we will study the role of liquid-liquid phase separation in facilitating DNA repair processes in the cell nucleus as a model to establish a fundamental biological understanding of how biomolecular droplets allow the cell to orchestrate its biochemical processes. We will achieve this through a cross-disciplinary effort that combines molecular genetics and state-of-the-art microscopy with biophysical modelling and computational simulations.
Application Deadline: 6 January 2025
11. 02 Fully Funded PhD in computational off-target analysis of siRNA and small peptides
Summary of Funded PhD Program
The projects concern safety when siRNAs and small peptides are applied as pesticides in plants and the aim is to develop the computational tools and analyses that will contribute to an environmental risk assessment framework for new bio-based plant protection products (PPPs). The project is part of the Novo Nordic Foundation Challenge project ENSAFE: “ENvironmental SAFEty of biotechnological plant protection products based on short interfering RNA and peptides” headed by Professor Nina Cedergreen.
Application Deadline: 3 January 2025
Explore Fully Funded PhD Programs in Sweden
12. Fully Funded PhD in Environmental and Soil Sciences
Summary of Funded PhD Program
The PhD candidate will work approximately one third of the time on the Klimagødning and two thirds of the time on the PHISHES projects. The project KlimaGødning aims to to develop an improved N modeling approch that can calculate reliable estimates of N2O emissions at the field level from soil biogeophysical conditions and farm activity data, especially related to mineral and organic N fertilisation. The project is funded by the Danish Ministry of Food, Agriculture and Fisheries and lead by University of Copenhagen with partners from Aarhus University and SEGES Innovation.
Application Deadline: 20 December 2024
13. Fully Funded PhD in Climate Change Adaptation in Conflict Settings
Summary of Funded PhD Program
The PhD project will be part of a co-funded project by Novo Nordisk Foundation and ADRA Denmark on Community-Led Climate Change Adaptation and Food Security in Yemen. This research project aims to explore and understand the complex intersection between climate change and food (in)security in the context of conflict and fragility. By exploring the coping mechanisms and adaptation strategies employed by local agricultural communities, the research seeks to identify approaches for community-led climate adaptation in conflict-affected settings.
Application Deadline: 16 December 2024
Explore Fully Funded PhD Programs in Switzerland
14. Fully Funded PhD in brain tumor bioinformatics
Summary of Funded PhD Program
The main tasks in the PhD project will be to bioinformatically investigate the tumor microenvironment in histologically distinct glioblastoma and meningioma samples and correlate these findings with clinical outcomes. Part of the project will also cover patient-derived animal models. The ideal candidate should have a background in biological sciences and have experience in either data analysis of high-plex spatial transcriptomics or single-cell/nuclei RNA sequencing or have experience in R or python. Previous experience as research assistant in the area is a merit. You should be self-motived and be able to coordinate multiple collaborations and drive the project forward.
Application Deadline: December 16 2024
