Are you holding Master’s degree and ready to elevate your academic journey to the highest level? Uppsala University, Sweden, has announced a multiple fully funded PhD positions awaiting talented individuals like you. Don’t miss your chance to be part of our vibrant academic community. Explore the exciting PhD positions available and submit your application today!”
Candidates interested in fully funded PhD positions can check the details and may apply as soon as possible.
(01) Fully Funded PhD Position
PhD position summary/title:–PhD student in Machine Learning with a focus on generative models for nonlinear dynamics
This project focuses on developing theory and probabilistic methods for generative modelling of nonlinear dynamical systems. These dynamical models are essential in explaining and understanding the world around us since many phenomena evolve over time. When it comes to modeling nonlinear dynamics, flexible models have the potential to significantly enhance performance over simple ones. Over the past two years we have focused more on generative models in this context, where we foresee an interesting future and the successful candidate will contribute to this. A key topic here is to design deep neural network models with longer memories.
Deadline : 21 March 2025
(02) Fully Funded PhD Position
PhD position summary/title:– PhD student in Machine learning for computational linear algebra
In this project, the doctoral student will explore the potential for accelerating sparse linear algebra with machine learning, specifically graph neural networks. Sparse linear algebra is pivotal in solving large-scale computational problems but requires experts to carefully craft algorithms on a case-by-case basis. Our approach provides an alternative, more accessible, route to highly efficient solvers with the potential to have a major impact throughout science and engineering. The underlying idea is to leverage the inherent graph structure of sparse matrices to create graph neural networks that learn task-adapted algorithms from a dataset of computational problems. Through this integration of machine learning with sparse linear algebra, we hope to unlock unprecedented efficiency and scalability in solving sparse linear systems.
The exact details of the project will be decided in a dialogue between the student and supervisor. Potential directions include (1) developing techniques for learning task-adapted iterative methods for sparse matrices, (2) developing techniques for learning task-adapted multilevel graph representations, and (3) scaling these techniques to realistic, large-scale computational problems. There are ample opportunities for spearheading method development through our collaborations in radiotherapy, medical imaging, additive manufacturing and battery chemistry.
Deadline : 28 March 2025
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(03) Fully Funded PhD Position
PhD position summary/title:– PhD student in Materials Physics
The PhD project will focus on the investigation how volatile elements such as Xe, Kr, I and Cs, concentrate or diffuse in a range of different nuclear-fuel types, under a range of thermal conditions. The core of the methodology is ion-implantation of the volatiles, in unirradiated nuclear-fuel, followed by elemental depth-profiling with ToF-ERDA (Time-of-Flight – Elastic Recoil Detection Analysis) recoil detection analysis. Samples will then be annealed and the effect of the annealing assessed by additional depth profiling. These general procedures will be further supported by a range of other material categorisation techniques, which will provide correlated information on changes in the microstructure of the samples. Over the project, the student will be supported by experts from two Swedish academic institutions and three major companies in the Swedish nuclear industry.
Deadline : 4 April 2025
(04) Fully Funded PhD Position
PhD position summary/title:–Doctoral student in private law with a focus on real estate law
The overall purpose of the doctoral studies is to provide future newly qualified doctors of laws with good prospects for a successful career within or outside of higher education. This includes in-depth knowledge of the chosen subject in the field of research, a capacity for independent and critical thinking, proficiency in scientific methods and modes of working, an ability to identify interesting and researchable issues, teaching skills and the ability to express himself or herself well both orally and in writing, an ability to operate in an international context and an ability to understand and deal with ethical issues concerning research.
Deadline : 1 April 2025
(05) Fully Funded PhD Position
PhD position summary/title:–PhD student in RNA biochemistry and structural biology
Are you interested in working with RNA biochemistry and structural biology, with the support of competent and friendly colleagues in an international environment? Are you looking for an employer that invests in sustainable employeeship and offers safe, favourable working conditions? We welcome you to apply for a PhD position at Uppsala University.
The Department of Cell and Molecular Biology is divided into seven research programs that focus on different areas within cell and molecular biology: computational biology and bioinformatics, microbiology, molecular biology, molecular biophysics, molecular evolution, molecular systems biology and structural biology. The scientific basis of what we do is in biology, but our research overlaps with other fields such as medicine, computer science, mathematics, chemistry, engineering and physics. The department has over 200 employees with around 60 PhD students. Please read more about the organization’s work at our website.
Deadline : 14 March 2025
(06) Fully Funded PhD Position
PhD position summary/title:–MSCA PhD student in Biochemistry
The project is part of a larger EU-funded doctoral network (https://mobilitrain.eu/), which aims to advance mass spectrometric techniques and methods for the life sciences. Ion mobility (IM) and mass spectrometry (MS) has in recent years seen a considerable development that enables high-resolution characterization and quantification of the structures, dynamics, and interactions of biomolecules, paving the way for many applications in research and industry. The PhD student will work in Erik Marklund’s research group, which uses computational methods to study biological macromolecules,. A considerable part of the group’s work concerns native IM-MS and related techniques. The PhD student’s research will revolve around how experimental IM-MS data can reveal macromolecular strucures, dynamics, and interactions, as well as around the network’s overarching goal to establish new knowledge leading to new applications of high-resolution IM-MS in the life sciences. An important part of that work is to model and study how proteins and other biomolecules are affected by the experimental conditions and how the measurements reflect the molecules in their native environment. Since the position is coupled to a larger network the collaboration with other partners will be of high importance, with opportunities for experimental and theoretical work at their premises.
Deadline : 12 March 2025
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(07) Fully Funded PhD Position
PhD position summary/title:–PhD student in Automatic Control focusing on secure control under uncertainty
The project aims to develop new theories and methods for enhancing the safety and security of control systems in the presence of strategic adversaries and probabilistic uncertainty. Uncertainty can play an interesting dual role in security. The adversary may seek to obfuscate their actions within noise or different sources of uncertainty. The defender can carefully inject uncertainty to obfuscate the system’s vulnerabilities, as in moving-target defense. We seek to further investigate the dual role of uncertainty in the safety and security of control systems.
Several directions of interest can be explored within this project: 1) investigate the capabilities of strategic adversaries that learn from data; 2) investigate and mitigate the security vulnerabilities of safety-oriented controllers (e.g., safety filters); 3) develop probabilistic methods to analyze security under uncertain adversaries and unknown system parameters; 4) analyze and design safe control systems that integrate online data and prior models under the possible influence of adversaries. If there is interest, we will also look into applications within process control, glucose monitoring, robotics, or electric power systems.
Deadline : 28 March 2025
(08) Fully Funded PhD Position
PhD position summary/title:–PhD students in astrophysics
The successful candidate supervised by Dr. Feuillet will work on identifying and characterizing stellar populations in the Milky Way using stellar kinematics, elemental abundances and stellar ages, with a focus on accreted stars in the halo and disk. The project will use observational data from existing large surveys such as Gaia, APOGEE, and GALAH, as well as the upcoming 4MOST and WEAVE surveys, and include possibilities to develop individual observational programs and models of galactic chemical evolution.
The successful candidate(s) supervised by Dr. Nordlander will work towards understanding the early evolution of the Milky Way and the properties of the first stars, through spectroscopic analyses of metal-poor stars, stellar population analyses, and/or characterizing ancient supernovae using chemical abundance data. The project will use a combination of advanced theoretical simulations of stellar atmospheres and new or existing data from e.g. Gaia, VLT, 4MOST, and GALAH.
Deadline : 4 April 2025
(09) Fully Funded PhD Position
PhD position summary/title:–PhD student in automatic control focusing on computational methods for large scale systems
The aim of this project is to develop new theory and methods for the control and estimation of large systems, using tools from optimal transport theory. Optimal transport is a mathematically rich theory for comparing probability distributions, and has recently evolved into a powerful tool for applications in control theory and machine learning. Building on these advancements, we will develop new theory and algorithms for optimal transport, targeting applications that may include control of multi-agent systems, inverse problems, and network data analysis.
Deadline : 28 March 2025
(10) Fully Funded PhD Position
PhD position summary/title:–PhD student in Machine learning with applications in precision medicine
Machine learning methods hold the potential to advance precision medicine and clinical decision support. At the same time, these application areas present new challenges for statistical learning methodology. They involve high-stakes decisions with important trade-offs and uncertainties. They are also challenged by the data sampling process which gives rise to distribution shifts when comparing past and future data.
This project is focused on basic research into theory and methods that can address these novel challenges. The aim is to develop new ideas and methods that can tackle the uncertainties and make explicit the relevant clinical trade-offs in predictive and prescriptive machine learning methods. The research will also involve interactions with our clinical partners at Uppsala University Hospital (Akademiska sjukhuset).
Deadline : 7 April 2025
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(11) Fully Funded PhD Position
PhD position summary/title:–PhD student in Inorganic Chemistry with focus on Solar Energy Conversion
The PhD student will perform synthesis of metal complexes, their chemical and spectroscopic characterization, investigation of their redox properties and activity in photo- and electrocatalysis, preparation of photoactive electrodes and their investigation in water oxidation reaction. The PhD student will write research reports and publications and present their research results at internal meetings, national and international conferences. The project may include secondments to partner institutions within Europe in the framework of the Horizon Europe project. The main duties of doctoral students are to devote themselves to the research studies which includes participating in the research project and third cycle courses. The work duties can also include teaching and other departmental duties (no more than 20%).
Deadline : 10 March 2025
(12) Fully Funded PhD Position
PhD position summary/title:–2 PhD students in History
The department now announces two fully funded PhD positions within a theme of the applicant’s choice. Successful candidates will pursue their doctoral studies full-time in Uppsala and are expected to participate actively in weekly seminars and workshops, etc. at the department and within the research programme. The position is a 4-year full-time employment which qualifies for all Swedish social benefits, such as paid parental leave. The position might also entail teaching and other assignments up to 20% of the full-time position (extending the position proportionally).
Deadline : 14 March 2025
(13) Fully Funded PhD Position
PhD position summary/title:–Four PhD Students in Business Studies
We are looking for a PhD candidate interested in conducting research in the field of entrepreneurship. In our research, we investigate why, how, and with what results new ideas are created, received, and disseminated (or not), in different environments and temporal contexts. It is often a matter of entrepreneurs’ business ideas and how these are developed within start-ups, but it can also be about ideas that are created and developed by already existing companies and organizations. Together with your supervisor, you will develop a specific project that relates to ongoing or emerging entrepreneurship research at the Department of Business Studies. It is therefore important that you have a strong interest in the subject area of entrepreneurship in a general sense, while remaining open to developing a more specific project with your supervisor.
Deadline : 31 March 2025
(14) Fully Funded PhD Position
PhD position summary/title:–PhD position in Generalization Driven Distributed Continual Machine Learning
Machine learning methods typically can only solve the tasks that they have been specifically trained to solve. They first adapt (train) a mathematical model on a number of examples and then apply the trained model. However, when trained models are faced with new situations, their performance drops significantly. In other words, these systems may not generalize well: they perform poorly in scenarios that are related to but different from those they were trained on. This poses a major obstacle to the effective and reliable use of machine learning in practical applications.
We need to find training methods and model structures that can learn to master new situations without forgetting previously learned knowledge to an excessive extent. Such models, which perform continual learning, are studied and developed in this project. We will focus on continual learning in situations where several devices cooperate and learn together, i.e., distributed learning. This is a situation of great practical interest but it can make generalization even more difficult to achieve. Using structured insights from mathematical analysis of these problems, we will develop and evaluate methods for continuous learning that can generalize.
Deadline : 31 March 2025
(15) Fully Funded PhD Position
PhD position summary/title:–PhD student in literary studies with a focus on audiobooks and AI-generated voices
The announced PhD position falls under Work Package 3 in VOICE: “AI Audiobooks: Investigating the Incentives and Implications of Synthetic Voices in Practice.” The responsible researcher for this part is Karl Berglund, Assistant Professor in Literary Studies at Uppsala University, affiliated with the Section for Sociology of Literature. The project investigates and analyzes the effects of the ongoing introduction of AI-generated/synthetic voices in audiobooks on the contemporary book market, literature, and reading culture. For an application to be considered, the proposed PhD project and its dissertation plan (see below) must clearly align with this research area. It is also advantageous if the project takes an interdisciplinary approach in terms of materials, methods, and theory. For more information, contact Karl Berglund (karl.berglund@littvet.uu.se).
Deadline :19 March 2025
(16) Fully Funded PhD Position
PhD position summary/title:–Up to two PhD students in Mathematics, Applied Mathematics, or Statistics
Are you interested in working with mathematics, with the support of competent and friendly colleagues in an international environment? Are you looking for an employer that invests in sustainable employeeship and offers safe, favourable working conditions? We welcome you to apply for a PhD student position in mathematics at Uppsala University.
The Department of Mathematics conducts research and provides education at undergraduate and graduate levels in Mathematics, Applied Mathematics and Statistics. The number of employees is around 130, including around 40 PhD students. The Department has three research programmes: Analysis and Probability, Algebra and Geometry, Applied Mathematics and Statistics.
Deadline : 31 March 2025
(17) Fully Funded PhD Position
PhD position summary/title:–PhD student in Chemistry
This PhD project will be performed in the Senger lab in close collaboration with the Westenhoff group. We try to make a positive difference in society through beyond state-of-the-art research on enzymatic catalysis mechanisms with the intention to replace fossil fuels with non-carbon-based alternatives. This PhD project specifically addresses open questions of green hydrogen (H2) catalysis and sustainable fertilizer production in Nature.
You will address these questions via transient spectroscopy and advanced time-resolved X-ray crystallography/ electron microscopy (cryo EM) on artificially activated hydrogenases to follow catalysis in the form of real time molecular movies. Solving protein structures and their dynamics to characterise the function and structure of key reaction intermediate will allow you to truly elucidate the processes of H2 catalysis in [FeFe]-hydrogenases and N2 reduction in nitrogenases paving the way for Nature inspired sustainable energy solutions.
Deadline : 15 April 2025
(18) Fully Funded PhD Position
PhD position summary/title:–PhD student in self-driving labs for electrolyte research
Self-driving labs promise to accelerate scientific research, leveraging automation and artificial intelligence to conduct experiments with minimal human intervention. By combining advances in robotics, machine learning, and high-throughput screening techniques, experiments are autonomously designed, executed, and analyzed. The continuous learning from data optimizes experimental conditions on the fly, thereby accelerating discovery processes, and significantly enhances the efficiency and reproducibility of research. Recent development and application of self-driving labs have made our approach particularly interesting for research on electrolytes for rechargeable batteries.
Future grid energy storage technologies must rely on abundant materials sourced from energy-efficient and environmentally friendly processes. Rechargeable batteries based on widely available elements such as Na, Fe, and S hold considerable promise but face significant challenges with electrolyte degradation and rapid capacity fade. Several mitigation approaches are however emerging, among which the inclusion of functional molecular electrolyte additives stands out. The research project aims to further develop a self-driving lab for electrolyte research and explore the compositional space of electrolyte additives for future generation batteries.
Deadline : 14 March 2025
(19) Fully Funded PhD Position
PhD position summary/title:–1 Doctoral candidate in peace and conflict research, Department of Peace and Conflict Research
The Department of Peace and Conflict Research was established in 1971 to conduct peace research and offer courses in peace and conflict studies. The department hosts a dynamic research milieu and is internationally oriented. Currently approx. 90 persons are employed at the Department and some 1000 students from around the world are enrolled every academic year. For more information, visit our website at www.pcr.uu.se.
Deadline : 7 April 2025
(20) Fully Funded PhD Position
PhD position summary/title:–Up to three PhD positions in interdisciplinary mathematics
The Centre for Interdisciplinary Mathematics (CIM) at Uppsala University conducts interdisciplinary research connecting the mathematical sciences and other areas of science and industry. CIM offers training and expertise in mathematical modeling and computer simulation, and hosts a Graduate school since 2013; for more details see CIM’s web page.
We are now looking for up to three PhD students who will join CIM’s Graduate school and work on proposed research projects. The available PhD projects can be found on CIM’s web page.
Deadline : 28 March 2025
(21) Fully Funded PhD Position
PhD position summary/title:–PhD student in Archaeology, Classical Archaeology and Ancient History or Egyptology
The Department of Archaeology, Ancient History and Conservation invites students with an advanced degree in Archaeology, Classical Archaeology and Ancient History or Egyptology to apply for a doctoral position at the Berit Wallenberg Foundation, hosted by the department.
The Department of Archaeology, Ancient History and Conservation is a dynamic and expansive research environment with just under a hundred employees in Uppsala and in Visby. The research environment includes seven disciplines taught at undergraduate and graduate level and the department offers postgraduate education in Archaeology, Classical Archaeology and Ancient History, Egyptology and Conservation. Archaeology is located in both Uppsala and Visby, Classical Archaeology and Ancient History, and Egyptology are located in Uppsala, and Conservation is located in Visby.
Deadline : 1 April 2025
(22) Fully Funded PhD Position
PhD position summary/title:–PhD student in climate-change driven adaptation and speciation
Our group combines data from a unique long-term field study with genomic approaches to better understand general mechanisms of adaptation and speciation. We have collected several decades of data from a natural hybrid zone of collared and pied flycatchers located on the Swedish island Öland. This PhD project has two main goals. First you will study how allelic variation in identified fitness-traits and changes in genome structure affect adaptive responses to ongoing climate change in pied and collared flycatchers. Second, the project will investigate if divergent climate adaptation has played a central role in the divergence of these two species. Long-term phenotypic data (22 years) is already collected and several state-of the art genomic technologies will be used. The PhD student will work together with a supervisor team with complementary skills and will have the opportunity to shape the detailed development of the project together with us.
Deadline : 18 March 2025
(23) Fully Funded PhD Position
PhD position summary/title:–Two PhD Students in Business Studies at Campus Gotland, Visby
Project 1: Glocal
The project is a collaboration between the Departments of Business Studies and Earth Sciences: Natural Resources and Sustainable Development. Antimicrobial resistance (AMR) and marine biodiversity loss represent two interlinked global threats that demand urgent action and public engagement. For the doctoral student at the Department of Business Studies, the focus will be on increasing understanding and awareness of how consumers’ individual food purchasing decisions affect the development of antimicrobial resistance (AMR) development. A significant challenge in both AMR is that the available information is often complex, where consumers do not always understand how their food choices may contribute to problems with AMR and marine biodiversity loss, and their daily food purchasing decisions affect these global issues. The project aims to investigate the intersection between consumer behavior and these two serious global threats, including a holistic approach to sustainability concerning health, environmental integrity and social justice. The project will contribute with important knowledge and educational strategies to promote global sustainability efforts and show how informed individuals, end users, and communities can implement meaningful change for a resilient future and sustainable societal development.
Project 2: Orchestration of Digital Sustainability in the Grocery Retail
The project explores the role and impact of digitalisation on sustainability initiatives within the Swedish grocery sector. By integrating knowledge from Information Systems and Business Studies, it addresses challenges and opportunities related to the design of digital infrastructure to reduce climate impact, in relation to the governance and management of sustainability practices in organisations. The entire value chain is studied, from food producers to retailers, including the need for standardised handling of sustainability data and compliance with new regulations, such as the EU’s Corporate Sustainability Reporting Directive (CSRD).
The project involves two doctoral students, one with a focus on Information System and one with a focus on Business Studies. The Business Studies doctoral student is expected to research the consequences of new mandatory sustainability reporting directives and regulations and how these affect emerging sustainability standards in the grocery retail sector. Furthermore, how this influences the development of sustainable food strategies among different actors.
The doctoral student is placed at the graduate school on Campus Gotland, Visby where he/she is expected to be on site, participating in the activities of the graduate school and the department.
Deadline : 31 March 2025
About Uppsala University, Sweden –Official Website
Uppsala University is a research university in Uppsala, Sweden. Founded in 1477, it is the oldest university in Sweden and all of the Nordic countries still in operation. It has ranked among the world’s 100 best universities in several high-profile international rankings during recent years. The university uses “Gratiae veritas naturae” as its motto and embraces natural sciences.
The university rose to pronounced significance during the rise of Sweden as a great power at the end of the 16th century and was then given a relative financial stability with the large donation of King Gustavus Adolphus in the early 17th century. Uppsala also has an important historical place in Swedish national culture, identity and for the Swedish establishment: in historiography, literature, politics, and music. Many aspects of Swedish academic culture in general, such as the white student cap, originated in Uppsala. It shares some peculiarities, such as the student nation system, with Lund University and the University of Helsinki.
Uppsala belongs to the Coimbra Group of European universities and to the Guild of European Research-Intensive Universities. The university has nine faculties distributed over three “disciplinary domains”. It has about 44,000 registered students and 2,300 doctoral students. It has a teaching staff of roughly 1,800 (part-time and full-time) out of a total of 6,900 employees. Twenty-eight per cent of the 716 professors at the university are women. Of its turnover of SEK 6.6 billion (approx. USD 775 million) in 2016, 29% was spent on education at Bachelor’s and Master’s level, while 70% was spent on research and research programs.
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