Umea University, Sweden invites online Application for number of Fully Funded PhD Positions at various Departments. We are providing a list of Fully Funded PhD Programs available at Umea University, Sweden .
Eligible candidate may Apply as soon as possible.
(01) PhD Positions – Fully Funded
PhD position summary/title: 1-2 PhD students for the Department of Political Science
The position as a doctoral student is in political science. The doctoral project can focus on any topic of relevance to political science or peace and conflict studies, but will preferably relate to one or several of our five research profile areas in some way (please find information about the research profiles below).
We are looking for a doctoral student who is creative, highly motivated for participating in the PhD programme, with strong analytical skills and the ability to work independently. You will be able to shape your project to a significant extent, beginning with your research plan that is submitted as part of the application.
Deadline :2026-01-30
(02) PhD Positions- Fully Funded
PhD position summary/title: PhD position in Experimental Physics
The project is focused on preparation of various carbon materials, including graphene related materials, optimized for application in sorption/separation of lanthanides and actinides. The project aims to prepare materials with high surface area using chemical modification of porous carbons, graphene and graphene oxide, introducing different defects and addition of nanoparticles. Important part of project is aimed on design of environmentally friendly methods for selective sorption of lanthanides from complex waste mixtures using advanced materials. This research will be a part of a collaboration between several research groups working within the EU project MaLaR.
The candidate will be engaged in synthesis of new materials and characterization of these materials using BET/DFT surface area analysis, DSC, x-ray diffraction, Raman and IR spectroscopy etc. It is also planned to use synchrotron radiation facilities.
Deadline : 2025-12-01
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(03) PhD Positions – Fully Funded
PhD position summary/title: PhD student in Computing Science with a focus on Neuro-Symbolic Graph Transformation
Graph transformation is a well-established theory that studies computational methods to transform graphs in a stepwise manner by the application of simple rules which are discrete in nature. This project under the leadership of Professor Frank Drewes aims to integrate neural methods of computation, and thus continuous aspects, into rule-based models of graph transformation in order to combine the individual strengths of both paradigms. Rule-based models are transparent and explainable; they make sense to humans and are accessible to algorithmic techniques while neural models are adaptive and learnable. The aim of this project is to develop models which combine these advantages. The project includes both formalization and mathematical reasoning on the one hand, and implementation for the purpose of experiments and demonstration on the other hand.
Deadline : 2025-11-23
(04) PhD Positions – Fully Funded
PhD position summary/title: PhD position in Chemistry, with a specialization in Environmental Chemistry
This project offers the opportunity to work at the intersection of computational modelling, cutting-edge analytical chemistry, and experimental toxicology. The overall aim is to develop and validate new computational models to better understand how organic pollutants are taken up, distributed, metabolized, and excreted in zebrafish. We have a particular interest in critical developmental stages, including early development and juvenile stages analogous to puberty, which represent windows of increased sensitivity to environmental pollutants.
Your work will focus on advancing physiologically based kinetic models by integrating tissue-specific data from mass spectrometry analyses. These models will provide a more realistic picture of how chemicals behave in different tissues across zebrafish life stages, from embryos to adults.
The project is highly collaborative between Umeå University, Uppsala University, and Vrije Universiteit Amsterdam with possibilities for research visits abroad. The project will provide training in state-of-the-art computational and analytical techniques, as well as valuable experience in international and interdisciplinary teamwork. The expected outcome is novel modelling tools and new insights into how pollutants affect developing organisms.
Deadline : 2025-11-23
(05) PhD Positions – Fully Funded
PhD position summary/title: PhD student in Computing Science with focus on AI Policy and Climate Risk Narratives
This PhD project will explore how Artificial Intelligence, in particular AI-based simulations, data-driven modelling, and generative systems, can support policymakers in addressing climate change by developing and testing human-centered climate risk scenarios and narratives. The aim is to investigate how computational and AI-driven tools can help design strategies that are both evidence-based and publicly accessible, bridging the gap between complex scientific knowledge and societal decision-making.
Deadline :2025-11-21
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(06) PhD Positions- Fully Funded
PhD position summary/title: PhD student in Computing Science with focus on Agent Based Modelling
The project will explore how to improve organ donation (OD) rates in Sweden and the Nordics using agent-based modeling (ABM). Despite policy reforms, expected gains have stalled due to system bottlenecks. The project identifies these gaps, compares with Spain’s best practices, and supports future-oriented policy planning through simulation, stakeholder mapping, and scenario analysis. The project is led by Professor Frank Dignum (main supervisor) and Dr. Jason Tucker.
Deadline : 2025-11-19
(07) PhD Positions – Fully Funded
PhD position summary/title: PhD position in Computational Physics – Simulation Intelligence
Physics-based simulation is an essential tool for training and testing of AI models and control systems for robots and autonomous vehicles. In a digital environment, large amounts of annotated training data can be created safely and easily. Conducting most of the development in a digital environment is particularly important when dealing with mobile, heavy and powerful machines, and especially in the early development phases when they exist only as an idea. However, there are significant challenges in creating, conducting, and analyzing simulations at the scale and quality required. These are addressed in the project ”Simulation Intelligence”.
This project research techniques for intelligently automating processes for large-scale simulation of robots and mobile machinery that operate in and physically manipulate dynamic environments. Research questions include automated modeling and model simplification/refinement supported by generative AI, system identification, and 3D reconstruction algorithms. Additionally, the research involves developing statistical and algorithmic methods to analyze large amounts of simulation data, models that explain how and why an autonomously controlled machine fails or underperforms, and methods to recognize simulation data that is physically unrealistic. The doctoral candidate will have the opportunity to participate in ongoing development projects where simulation and AI are applied to realize autonomous capabilities in real machines used in mining, forestry, construction, or the space industry.
The doctoral candidate position is fully funded by the Marie Skłodowska-Curie Doctoral Network ENGAGE, which stands for “Educating Europe’s Future Engineers for the Next Generation of Mobile Working Machines: AI driven Sustainability, Productivity, and Safety.” The ENGAGE network includes an additional 11 doctoral students and a number of European universities and companies. Exchanges occur through workshops, tailored courses, and international conferences. For more information about ENGAGE, please see the [https://cordis.europa.eu/project/id/101226234]. The applicant must meet the MSCA mobility requirements, which means that the person must not have lived or worked in Sweden for more than 12 months in the last 36 months.
The doctoral project, “Simulation Intelligence,” is a collaboration between Umeå University and Algoryx Simulation AB, with supervision from both organizations. The doctoral student is employed by Umeå University the first and fourth year and by Algoryx during the second and third year. The primary workplace is where the employment is but throughout the project it will be possible to spend time at both places. At Umeå University, the student is affiliated with the Digital Physics research group located at the UMIT Research Lab, which gathers computing-oriented researchers in computer science, physics, and mathematics. Algoryx, also based in Umeå, specializes in software and solutions for real-time physics simulation with a focus on robotics and heavy machinery. Approximately 75% of the staff are engaged in research and development concerning simulation functionality and performance, as well as its application in robotics, automation, and AI.
Deadline : 2025-11-15
(08) PhD Positions – Fully Funded
PhD position summary/title: PhD-student
As a PhD student you will conduct research at the biochemistry and biophysics division of the department. The research group is associated to the strong microbiology research center in Umeå, the Molecular Infection Medicine in Sweden (MIMS, https://www.umu.se/mims/) and Umeå Centre for Microbial Research (UCMR, https://www.umu.se/ucmr/om-ucmr/) offering an vibrating research environment for meetings and collaborations. The research group is directly associated to the Umeå Centre for Electron Microscopy (UCEM, https://www.umu.se/en/research/infrastructure/umea-centre-for-electron-microscopy-ucem/), offering access and support for EM experiments. The facility is part of the national infrastructure network SciLifeLab for Cryo-EM and cellular volume imaging, providing “state of the art” technology access for this project.
Cryo electron microscopy (cryo-EM) methods provide possibilities to visualize the architecture and molecular machines driving bacterial growth and development. The bacterial cytoplasm and plasma membrane is a crowded environment, filled with biomolecules, with unique spatial organization and dynamic properties. We study the filamentous bacterium family of Streptomyces, the in vitro assembly of cytoskeleton proteins and the cellular localization polarisome and divisome protein complexes. Prokaryotic cytoskeleton proteins offer a fantastic and unexplored world of protein polymer assemblies with diverse similarities and evolutionary aspects comparable to the eukaryotic cytoskeleton. The thesis project will focus on electron microscopy (EM) method development. This by combining cryo-EM sample preparation, single particle and helical 3D reconstruction, as well as in situ electron tomography approaches to image bacterial multi protein complexes, including cytoskeleton proteins and the mechanisms regulating bacterial polarity and cell division.
Deadline : 2025-11-12
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(09) PhD Positions – Fully Funded
PhD position summary/title: PhD position in Medical Science with orientation towards Molecular Biology
The ongoing societal transformation and large green investments in northern Sweden create enormous opportunities and complex challenges. For Umeå University, conducting research about – and in the middle of – a society in transition is key. We also take pride in delivering education to enable regions to expand quickly and sustainably. In fact, the future is made here.
Are you interested in learning more? Read about Umeå university as a workplace
We are seeking a PhD student in medical science with an orientation towards molecular biology and a special interest in molecular parasitology to join the Department of Molecular Biology at Umeå University. The position is full-time and limited to four years, starting on February 1, 2026, or as agreed.
The PhD student will participate in activities provided by the Department of Molecular Biology, the Laboratory for Molecular Infection Medicine Sweden (MIMS), and the Umeå Centre for Microbial Research (UCMR), thus providing interaction with researchers from diverse research fields and access to various scientific and technical expertise.
Deadline : 2025-11-12
About Umea University, Sweden –Official Website
Umea University is a university in Umeå in the mid-northern region of Sweden. The university was founded in 1965 and is the fifth oldest within Sweden’s present borders.
As of 2015, Umea University has nearly 31,000 registered students (approximately 16,000 full-time students), including those at the postgraduate and doctoral level. It has more than 4,000 employees, half of which are teachers/researchers, including 368 professors.
Internationally, the university is known for research relating to the genome of the poplar tree and the Norway Spruce, and its highly ranked Institute of (industrial) Design.
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