Are you a Master’s graduate looking for fully funded PhD opportunities? Explore the range of funded PhD programs available at the Uppsala University, Sweden. Apply online now and kickstart your doctoral journey!
1. Fully Funded PhD Position in Microbiology – Symbiosis in Anaeramoeba
Summary of PhD Program:
This PhD project aims to investigate in detail how symbiosis functions in oxygen-poor environments. The subject of the study is an amoeba, Anaeramoeba, which was recently isolated from oxygen-poor marine sediments. Anaeramoeba has a symbiotic partner, a sulfate-reducing bacterium, that lives closely adjacent to the amoeba’s hydrogenosome (a reduced version of the mitochondrion). The bacterium thereby prevents the amoeba from being poisoned by the high levels of hydrogen it produces. The bacteria have access to the cell’s exterior through thin channels, allowing them to absorb sulfate from seawater. How the close and intricate connection between Anaeramoeba and the bacterium arose and has been maintained over time is still completely unknown. Methods that will be used in the project include proteomics, RNA sequencing, fluorescence microscopy, transfection, as well as other molecular, bioinformatics, and microbiological techniques.
Application Deadline: 6 December 2024
2. Fully Funded PhD Position in learning and control of multi-robot systems
Summary of PhD Program:
The purpose of this project is to develop a theoretical and algorithmic foundation for the efficient coordination of autonomous robotic systems for delivery of complex tasks with deadlines. Special focus will be given to teams of ground robots and robotic manipulators. The algorithms must be able to adapt to environmental and system uncertainties and guarantee safety of the robots and the surrounding environment. A variety of inter-discplinary methods combining control-theory, motion planning, and learning are expected to be used for the project. The developed algorithms will be validated on robotic platforms.
Application Deadline: 16 December 2024
Follow us for regular updates
3. Fully Funded PhD Position in offshore renewable energy systems’ digital twin modeling
Summary of PhD Program:
This PhD project will model and develop offshore renewable energy systems focusing on offshore wind, microgrids, energy islands, and energy storage systems. The PhD candidate will work on the development of digital twins of offshore renewable energy systems with integrated energy storage, as well as various innovative grid-supporting solutions.The project is offered within the Interreg North Sea programme co-funded by European Union, and involves a close collaboration with industry and other research organizations located in the North Sea Region.
Application Deadline: 20 December 2024
4. Fully Funded PhD Position in 6G Ambient IoT
Summary of PhD Program:
6G promises to revolutionize connectivity by delivering ultra-fast data speeds, near-zero latency, and massive connectivity for billions of IoT devices, far surpassing the capabilities of 5G. A central component of 6G, Ambient IoT, is expected to enable a wide range of new IoT applications across various industries, driven by the ability to deploy and manage billions of interconnected devices. These applications include smart cities, agricultural and environmental monitoring, smart and ubiquitous healthcare, environmental sustainability by advanced waste and resource management, to name a few. Ambient IoT devices are expected to be battery-free relying on energy harvesting and using backscatter communications to reduce the energy consumption for communication to a minimum. In this project, we aim to look at both the Ambient IoT devices as well as the infrastructure to provide scalable IoT services.
Application Deadline: 22 November 2024
5. Fully Funded PhD Position in statistical machine learning and optimization of electric vehicle market participation
Summary of PhD Program:
The position entails developing statistical and machine learning models for grid support via ancillary services from smart electric vehicle charging and vehicle-to-grid (V2G). It includes developing and utilizing optimization and probabilistic forecasting methodology for estimating availability of electric vehicle battery capacity on both single electric vehicle level and on city-scale. Part of the work is in collaboration with the companies in the project, where scientific results are to be used in their system.
Application Deadline: 25 November 2024
6. Fully Funded PhD Position in Computing Science focusing on Automated Verification and Debugging of Numerical Programs
Summary of PhD Program:
PhD thesis projects are available as part of the ERC Starting grant project HORNET on practically usable automated verification and debugging techniques for numerical programs. These programs are widely used in safety-critical systems, data analysis, weather forecasting, physics, engineering and more, but verifying and debugging their accuracy and reliability today is challenging due to rounding errors and limitations of current tools. One aspect that this project focuses on is accuracy of finite-precision programs with respect to a real-valued (and thus error-free) program specification. Possible thesis projects can explore a variety of directions such as automated program verification, specification inference, fault localization, practical usability, etc. in the context of numerical finite-precision programs.
Application Deadline: 2 December 2024
Looking for more Funded Phd Position
7. Fully Funded PhD Position in Chemistry with specialization in Organic Chemistry
Summary of PhD Program:
The objectives of this subproject are to use machine learning to develop fast and accurate classification and regression models for prediction of macrocycle’s cell permeability, and to use and improve state-of-the-art machine learning technologies for identification of the most important descriptors of the developed models. The successful candidate will receive training in the determination of cell permeability across Caco-2 cell monolayers, in characterizing lipophilicity, polarity and chameleonicity, in the use of principal component analysis (PCA) and other machine learning methods to select 2D and 3D descriptors for model building, in building theoretical models for cell permeability using various machine learning methods, in the use of data analysis approaches such as PLS, PCA, and clustering to provide insight into the effective set of descriptors governing the output from models, and in determining to what extent selected macrocycles behave as molecular chameleons.
Application Deadline: 15 November 2024
8. Fully Funded PhD Position in Human-Computer Interaction
Summary of PhD Program:
The PhD position is located in the unit for Human-Computer Interaction and co-supervised by the Department of Game Design. The PhD is associated with the Horizon Europe project “Larpocracy: Developing Spaces for Deliberation and Democratic Skills through Role-playing.” The overarching aim of this project is to understand and enhance the capacities of live action role-playing (larp) to support civic participation and democratic skill-building, and explore how these capacities can inform the design of spaces for deliberation and political engagement both online and offline.
Application Deadline: 20 November 2024
9. Fully Funded PhD Position in combinatorial optimization with applications in computerized image processing
Summary of PhD Program:
In this project, we focus on a special class of combinatorial optimization problems, called lexicographic max-ordering (Lex-MO) optimization problems. Our interest in this class of problems is motivated by a recent discovery made by our team: Many optimization problems that are currently considered infeasible to solve in practical time (NP-hard) can be solved in low-order polynomial time if we recast them as Lex-MO problems! This includes many problems that naturally occur in practical applications.
Application Deadline: 26 November 2024
10. Fully Funded PhD Position in Solid State Physics with focus on the design and investigation of novel magnetic nanocomposites for environmental applications
Summary of PhD Program:
In the project, we aim to synthesize and characterize functional magnetic nanocomposites and investigate their potential as nano-adsorbents and photocatalysts for the removal of pollutants from water via adsorption and/or catalysis. Solution-based synthesis techniques will be used to synthesize nanocomposites that will contain magnetic components, preferably iron oxides, to enable magnetic separation. The synthesized materials will be characterized by morphological/structural analysis, surface investigations, and detailed magnetic measurements. The catalytic properties of the nanocomposites and their adsorption efficiencies will be investigated to determine their ability to remove water contaminants by measuring adsorption isotherms and performing kinetic studies. The project also includes the development of a magnetic separator system for separation experiments to measure the possibility of recycling and reusing the synthesized materials.
Application Deadline: 29 November 2024
11. Fully Funded PhD Position
Summary of PhD Program:
The research group is focused on studies of detrimental health consequences linked with mosaic loss of chromosome Y (LOY) in men. We have established that men affected with this somatic mutation in blood cells have an increased risk for death and various common disease, which helps explain why men live shorter lives than women. We are now building on these results, to further investigate associations between LOY and disease risks, as well as unraveling mechanisms to explain how and why LOY in immune cells is linked with disease processes in other organs. The projects are performed on many levels using various types of omics-data generated within the group and with collaborators, as well as using online databases and cohorts.
Application Deadline: 12 November 2024
Looking for more Funded Phd Position
12. Fully Funded PhD Position in biomedical engineering focused on organs-on-chip
Summary of PhD Program:
Organs-on-chip is a growing field of research with the ambition to eventually replace traditional animal experiments. A special focus of our research group is to develop droplet microfluidic systems with integrated acoustics, so-called acoustofluidic systems, to handle and study cells as they grow in a 3D environment mimicking body tissue. Today we are approx. 10 people in the group and within the on-going ERC funded project PHOENIX our research is focused on acoustofluidic solutions for generation of organoids with a controlled cellular architecture.
Application Deadline: 18 November 2024
13. Fully Funded PhD Position in Materials Physics
Summary of PhD Program:
Uppsala University hereby declares a PhD student position, at the Department of Physics and Astronomy, to be open for application. The PhD-project will focus on studies of kinetic processes for hydrogen and other light chemical species in energy materials for fusion research applications. The work will include both studying the fundamental thermodynamically aspects which govern, for example how hydrogen is absorbed and transported in materials on an atomic scale but also improvement of analytical methods for detection of light chemical species with high resolution and sensitivity. An important aspect will be to develop methods for tracking processes in a specific environment in real-time referred to as in-situ and in-operando techniques. The work will be of primarily experimental character.
Application Deadline: 7 November 2024
14. Fully Funded PhD Position in Medical Cell Biology
Summary of PhD Program:
My research also shows that the complexity and structural integrity of mucins and mucus gels with specific material properties are important to their function [1-5]. In this PhD project, the candidate will develop mucin gels with tailored properties for use as an antiviral lubricant, which can trap viral particles within the gels and excrete them from the epithelium before the viral particles reach the epithelium, and for islet transplantation, where the gels can microencapsulate islets within gel microdroplets, establish an immune-privileged niche upon transplantation, and thereby enable adequate re-vascularisation. In brief, purified mucins will be assembled into “mucus-like” gels, “stable” mucin gels, and gel microdroplets. The correlation between gel properties and bioapplications will be assessed using in vitro and in vivo biological assays.
Application Deadline: 7 November 2024
15. Fully Funded PhD Position in materials science with focus on accelerated exploration of next-generation energy materials
Summary of PhD Program:
Your research will involve material theory, thin-film synthesis, characterization, and data analysis, all essential skills for a materials scientist. The focus is on developing methods to automatically interpret measurement data from “combinatorial” thin-film samples, and, using some form of underlying theory (such as computational tools based on thermodynamics, e.g., CALPHAD), aggregate information from multiple samples into synthesis phase diagrams. You will learn to use the autonomous laboratory to produce samples, which involves sputtering and thermal processing techniques, and to characterize these using X-ray diffraction, Raman scattering, and optical spectroscopy/imaging. Ultimately, the hope is that you will help integrate your methods into the experimental platform, where they can operate autonomously.
Application Deadline: 8 November 2024
16. Fully Funded PhD Position in Computational Materials Chemistry
Summary of PhD Program:
We are looking for a motivated and ambitious student for theoretical studies of ion transport in solid-state battery materials. For this purpose, the main focus is to develop a multiscale computational framework for modelling ion-conductivity in complex battery materials. This framework will be used to carry out a high-throughput screening where a large number of hypothetical materials will be studied by systematically varying its composition. The large amounts of data provided by the screening will be used to decipher important connections between material structure and conductivity by using advanced data-mining strategies and machin-learning.
Application Deadline: 29 November 2024
Looking for more Funded Phd Position
17. Fully Funded PhD Position in Scientific Computing focusing on Computational Inverse Problems
Summary of PhD Program:
The focus of this PhD project is computational inverse problems, specifically ultrasound imaging. Inverse problems are the art and science of looking into a box without opening it. Mathematically speaking, in inverse problems, we reconstruct the coefficients of a partial differential equation from partial observations of a field, for instance, the acoustic pressure. In ultrasound imaging, we try to reconstruct the interior of an object from the recordings of scattered acoustic waves.
Application Deadline: 10 November 2024
18. Fully Funded PhD Position in data-driven modeling of ocean-based renewable energy systems
Summary of PhD Program:
The PhD project will model and develop offshore renewable energy systems, with a focus on wave power and floating offshore wind. The project will develop methods to predict non-linear dynamics and vulnerabilities based on data-driven methods, computational fluid dynamics simulations and machine learning. We offer a varied and exciting work that is designed by the PhD candidates together with the research team. The PhD student will be supervised by at least two supervisors and the research group consists of several seniors and PhD students working on different aspects of renewable energy and the electric grid. The Department of Electrical Engineering also gives a salary supplement to the doctoral students at the department.
Application Deadline: 15 November 2024
