Are you holding Master’s degree and looking for fully funded PhD positions? Uppsala University, Uppsala, Sweden invites online application for multiple funded PhD Programs / fully funded PhD positions in various research areas.
Candidates interested in fully funded PhD positions can check the details and may apply as soon as possible. Interested and eligible applicants may submit their online application for PhD programs via the University’s Online Application Portal.
1. Fully Funded PhD Position in immunophysiology
Summary of PhD Program:
The lining of the uterus (the endometrium) has completely unique properties as it heals quickly during each menstrual cycle without scarring. During the fertile period of a woman’s life, this scarless healing in the uterus occurs more than 400 times, but the involved mechanisms that control it are still not known. During this process, immune cells constitute up to 70% of all cells in the endometrium, but their contributing role to endometrial turnover is largely unknown. Based on our previous discoveries where we found that both neutrophils and macrophages, the body’s most common immune cells, are important for healing damaged tissue, we now want to investigate what they do in the uterine lining, with a special focus on different subpopulations of the innate immune system.
Application Deadline: December 20, 2024
2. Fully Funded PhD Position in adaptive neural networks for deep learning
Summary of PhD Program:
This project will study theoretical, numerical, and implementation aspects of architectureal changes in neural networks. Successful methods will contribute to and help shape the next revolution in deep learning. Succesful solutions will not only streamline and optimize AI model designs, they will also reduce energy, emissions, and effort currently needed to optimize architectures. The resulting models can also be smaller and faster, enabling more powerful applications on embedded devices.
Application Deadline: 21 January 2025
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3. Fully Funded PhD Position in Scientific Computing focusing on Energy-Efficient Algorithmic Solutions
Summary of PhD Program:
The goal is to develop next-generation, energy-efficient algorithmic solutions tailored to data-intensive applications. You will work at the intersection of numerical analysis, computer arithmetic, and algorithm design to create methods that balance speed, accuracy, and energy consumption. Concretely, the work will focus on 1) reformulating key algorithms for greater efficiency, 2) leveraging state-of-the-art computer arithmetic tools to ensure numerical accuracy, and 3) developing practical solutions using mixed- and arbitrary-precision techniques that drive down energy usage in large-scale applications.
Application Deadline: 24 January 2025
4. Fully Funded PhD Position in Spatiotemporal Control of Nanocellulose Self-Assembly for Advanced Sustainable Materials
Summary of PhD Program:
This project aims to establish an innovative method for the assembly of nanomaterials, particularly nanocellulose, with precise temporal and spatial control. The objective is to produce cutting-edge materials—such as membranes, hydrogels, and foams—with improved performance thanks to their anisotropic, tailored, and optimized structure. Their target applications are in critical technologies for sustainable development, such as water bioremediation and conversion of carbon dioxide into industrially relevant products. To achieve this, we will build on our expertise in nanocellulose self-assembly by designing and developing custom protocols, utilizing a library of nanocellulose building blocks, and exploring their co-assembly with biocompatible macromolecules and nanoparticles.
Application Deadline: 14 January 2025
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5. 02 Fully Funded PhD Position in Meteorology focusing on air-sea-ice interactions
Summary of PhD Program:
The 1st PhD project focus on 1) enhance the understanding of the mechanisms governing turbulent fluxes influenced by sea ice floes in the MIZ, and 2) Assess the impact of sea ice floes on turbulent fluxes in the formation of polar extreme cyclones and their broader implications for polar climate.
The 2nd PhD project will 1) Develop a DL model for extracting sea ice floe information from satellite images, facilitating advancements in the comprehension of ice dynamics within the MIZ, 2) attainment of a detailed mechanism understanding of wave attenuation by ice, elucidating its implications on wave radiation stress on ice, and 3) Enhancement and updating of an atmosphere-wave-ice-ocean coupled system, ensuring conservation of momentum flux across the air-sea-ice interface in the MIZ.
Application Deadline: 10 January 2025
6. Fully Funded PhD Position in functional materials for REEs separation
Summary of PhD Program:
The project focuses on developing new methods for extracting and separating critical elements. This includes developing nanostructured materials by combining abundant macromolecule lignin with inorganic oxides. The research aims to synthesize these innovative materials and strategically enhance their performance by introducing functional groups and ligands. These modifications will improve the materials” ability to extract critical raw materials, such as REEs, and selectively separate those from inorganic impurities commonly found in mining tailings. By integrating advanced material design with chemical functionalization, the project seeks to contribute to the advancement of separation technologies and water remediation solutions, addressing critical environmental and industrial challenges.
Application Deadline: 30 December 2024
7. Fully Funded PhD Position in Image Analysis and AI in Mass Spectroscopy Imaging
Summary of PhD Program:
This PhD project focuses on developing computational models and solutions in computer vision for MSI data analysis. Key goals include advancing large-scale data analysis, dimensionality reduction, and learning-based techniques to recover lost information and explore previously inaccessible insights. These methods aim to enhance MSI’s ability to reveal biological and pathological information, such as for cancer and multiple sclerosis research, while leveraging complementary imaging modalities and metabolic databases to identify novel chemical fingerprints.
Application Deadline: 13 January 2025
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8. Fully Funded PhD Position in Natural Resources and Sustainable Development, focus on implementation of Nature Restoration Law and Nature-based Solutions
Summary of PhD Program:
The PhD student will conduct research on potential conflicts in implementation of European legislation in Sweden with a focus on the new EU Nature Restoration Law and Swedish implementation of the European Regional Development Program. The work includes collaboration with other PhD students as well as senior researchers in LANDPATHS and PUDDLE-JUMP. The PhD student is also expected to help organizing and coordinating activities in which stakeholders take part, as well as to actively contribute to communication and other outreach activities.
Application Deadline: 19 December 2024
9. 02 Fully Funded PhD Position in theoretical physics
Summary of PhD Program:
The division plans to recruit two or more ambitious PhD students in theoretical physics. The main activity will be research on scattering amplitudes in quantum field theory, gravity, string theory, gravitational waves and effective field theory as well as their interplay with particle phenomenology, number theory and algebraic geometry. Other duties at the department related to teaching and administration will be included in the positions (maximum 20%).
Application Deadline: 15 January 2025
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10. Fully Funded PhD Position in Microbial ecology
Summary of PhD Program:
The project is focusing on photoheterotrophy and its importance for the role of microorganisms in lake ecosystems. Photoheterotrophy is an understudied process in lake ecosystems, and more knowledge can lead to a changed view of the role of bacteria and archaea in, for example, the carbon cycle. The PhD student will work in a project financed by the Swedish Research Council (Vetenskapsrådet).
Application Deadline: 31 January 2025
11. Fully Funded PhD Position in Sensorics for Soft Haptics
Summary of PhD Program:
The project is about the mechatronics, and mechanical and electronic design for the wearable and body-near interactive haptics, where orthogonal sensors and actuators enable design for tight perception-action loops. The focus will be on the embedded electronics and sensorics for patches manufactured in collaboration with other researchers in the research group of soft micromechanics, using planar additive manufacturing of printed circuits with digital printing of composites and different dielectrics. In collaboration with colleagues in the project, patches will be developed for exploring different haptic interactions for the internet of senses.
Application Deadline: 6 January 2025
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12. Fully Funded PhD Position in Environmental Analysis with focus on hydroclimatic extremes
Summary of PhD Program:
We are now looking for a PhD student in Environmental Analysis within the Program for Air, Water and Landscape Sciences (Luval) to join our team and work with us in the European project “REACTION – Navigating the Risks of Hydroclimatic Extremes for Freshwater Ecosystem Services in Forest Landscapes” funded by the Water4All partnership. The project is an international collaboration with partners in Finland, Spain, Slovakia and Austria, and assesses the risks that hydroclimatic extremes (such as heatwaves, floods, droughts and heavy rain) pose to freshwater-related ecosystem services in forest landscapes. Combining a multidisciplinary risk framework with extensive efforts on harmonizing data and innovative data-driven modelling techniques, we explore existing data resources, develop relevant indicators, and build models that simulate the complex relationships between statistically rare extreme events and freshwater-related ecosystem services.
Application Deadline: 30 December 2024
13. Fully Funded PhD Position in Machine Learning with a focus on probabilistic models in microbial and cellular ecology
Summary of PhD Program:
All ecological systems, including ecologies of cells, consist of interacting parts. Cell imaging data, which hold rich information about how cells act and interact with each other, can be translated into spatio-temporal point patterns in which points represent cell locations. In this project, the doctoral student will develop mathematical models and machine learning methods that probabilistically infer information about microbial and cellular ecologies from the point patterns that they generate. During the process, the student will learn how to combine mathematical models (based e.g., point processes and differential equations) with machine learning methods (e.g., Hamiltonian Monte Carlo sampling and neural networks) to solve research problems in microbial and cellular ecology.
Application Deadline: 31 December 2024
14. Fully Funded PhD Position in Computer Science (Data Management)
Summary of PhD Program:
The PhD student will work under the main supervision of Dr. Georgios Fakas. The project will investigate data management topics including (but not limited to) (1) big data and (2) data mining and machine learning. The project will deal with a variety of data including (1) spatial data, (2) critical minerals data, etc. The precise details about the project will be defined also based on the student’s knowledge and interests. The main duties of PhD students are to devote themselves to their research studies, which include participating in research projects and third cycle courses. The work duties can also include teaching and other departmental duties (not more than 20 % of full time).
Application Deadline: 2 January 2025
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15. Fully Funded PhD Position in Solid Mechanics, with focus on dislocation dynamics of hydrogen embrittlement in steel
Summary of PhD Program:
Hydrogen Embrittlement refers to the scenario where hydrogen enters metallic materials, interact with the microstructure and degrade the mechanical properties. It poses a significant threat to the safety of engineering structures for hydrogen transport and storage. However, the underlying mechanism of hydrogen embrittlement is still under debate. The project is funded by Swedish Research Council and entitled “Interplay between hydrogen, precipitates and dislocation substructures in pipeline steel”. The project aims to improve the safety of hydrogen transport via pipelines, by gaining a solid mechanistic understanding of hydrogen embrittlement in pipeline steels.
Application Deadline: 24 December 2024
16. Fully Funded PhD Position in applied nuclear physics
Summary of PhD Program:
This Ph.D. project is a collaboration between Uppsala University and the nuclear data section at the IAEA. The project is part of the national Swedish initiative “gEN 4 Clean powEr pRoduction” (ENFORCER), aimed at generating scientific knowledge for the successful implementation of Generation IV reactors. The primary objective is to further develop a new methodology for fission data evaluations and uncertainty propagation focused around the TALYS reaction code. This initiative seeks to investigate fission model defects and benchmark critical assumptions in fission fragment mass yield distributions, excitation energies and angular momenta.
Application Deadline: 18 December 2024
17. 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
18. 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
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19. 08 Fully Funded PhD Position in Economics
Summary of PhD Program:
The PhD Program at the Department of Economics prepares you both for a career in academia as well as for qualified positions in government ministries and agencies, international organizations and the private sector. Our alumni hold important positions throughout society. We offer an intellectually stimulating research environment with several research seminars each week and a large flow of international guests.
Application Deadline: 3 February 2025
20. 03 Fully Funded PhD Position in Political Science
Summary of PhD Program:
The doctoral studies program spans four years and is funded through doctoral employment. Doctoral candidates are expected to pursue their education in the doctoral studies program on a full-time basis and actively participate in departmental activities. Teaching or other duties at the department, equivalent to a maximum of 20 percent, may be assigned. The duration of the employment is extended proportionally. Some PhD positions may be linked to specific research projects. Information about research projects recruiting PhD students are posted on this website: PhD Programme in Political Science – Uppsala University. When applying for a PhD position you will automatically be considered also for project-linked positions.
Application Deadline: 31 January 2025
21. Fully Funded PhD Position in spin and orbital electronics
Summary of PhD Program:
Harnessing both spin and orbital angular momentum, electrons offer two powerful properties for advancing spintronics and orbitronics—fields poised to revolutionize information technology. This holds enormous potential for breakthroughs such as ultrahigh-density memory and precision quantum sensing. The discovery of graphene and other 2D materials has sparked innovation in these areas. This project seeks to understand and develop new charge, spin, and orbital devices, such as efficient spintronic devices using 2D materials, moving toward spin-integrated circuits, or realizing new quantum phases for advanced quantum sensors. It involves cutting-edge nanofabrication at Ångström Laboratory and precision measurements using newly established experimental setups in the QMD group.
