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19 Fully Funded PhD Positions at Umea University, Sweden

Are you holding Master’s degree and ready to elevate your academic journey to the highest level? Umea 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 Position in Experimental Physics with focus on Modeling Water Plumes of the Icy Moons

Enceladus and Europa, two of the most fascinating moons in our solar system, are known for their water plumes — jets of water vapor and other materials erupting from beneath the icy surfaces of these moons. Enceladus, a moon of Saturn, has water plumes that spew from its south pole, sourced from a subsurface ocean beneath its icy crust. Europa, one of Jupiter’s Galilean moons, has also shown evidence of plumes, likely caused by water escaping through cracks in its ice shell. These features strongly suggest the presence of vast liquid water oceans beneath the icy surfaces of these moons, positioning both moons as prime targets in the search for extraterrestrial life. Observations from NASA’s Cassini and Galileo space missions reveal that these plumes interact with their moons’ plasma and electromagnetic environments, producing observable signatures that are not fully understood.

We seek a brilliant PhD candidate to investigate the interaction between the water plumes of the icy moons and their surrounding electromagnetic environment using our cutting-edge, high-performance plasma model, Amitis (www.amitiscode.com). This project is primarily based on computer simulations and focuses on exploring how the plumes shape the electromagnetic environment of the icy moons. By comparing model results with observational data, the research aims to deepen our understanding of icy moons, their dynamic systems, and their potential to harbor life.

Deadline : 2025-02-28

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(02) Fully Funded PhD Position 

PhD position summary/title:–PhD Position in Experimental Physics with focus on the Aurora at Jupiter’s Moon Ganymede

Ganymede is one of Jupiter’s moons, and it is the largest moon in the solar system. Ganymede has its own magnetic field, and its orbit around Jupiter is inside of Jupiter’s magnetosphere. This makes for a peculiar magnetic field configuration, and auroral light emissions have been observed from Ganymede’s atmosphere with the Hubble Space Telescope. Thus, the aurora at Ganymede is of particular interest in auroral research, which can advance the present day knowledge of both Ganymede and the aurora in general.  Ganymede’s aurora is one of the topics to be studied by the Jupiter ICy moon Explorer (JUICE) mission that was launched in 2023, by the European Space Agency (ESA), and is now on its way to Jupiter and Ganymede. 

We seek a brilliant PhD candidate to investigate the processes that accelerate the electrons that cause the auroral emissions at Ganymede. These studies will be conducted, using a Vlasov simulation model of the plasma on an auroral fieldline with input from global hybrid simulations, observations, and modeling of the neutral atmosphere. The PhD project will be carried out in cooperation with scientist at Umeå University, other research institutes in Sweden, as well as international scientific contacts in Austria, Belgium and the UK. We expect this research to have an impact on Ganymede science, auroral science in general, and to be useful in planning and interpreting the observations of the JUICE spacecraft.

Deadline : 2025-02-28

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(03) Fully Funded PhD Position 

PhD position summary/title:–PhD Position in Experimental Physics with Focus on Mercury’s Magnetosphere

Mercury is a fundamentally unique object in the solar system. It possesses a weak global magnetic field of internal origin and in consequence, a small magnetosphere much smaller than the magnetosphere of Earth. Due to the proximity of Mercury to the Sun, the magnetosphere of Mercury is subject to the most intense solar wind flux and ferocious space weather among all the planets in the solar system. The purpose of the PhD project is to provide a comprehensive understanding of the complex interaction between the solar wind and Mercury during extreme solar events (e.g., Coronal Mass Ejections) using Amitis, a state-of-the-art hybrid-kinetic plasma model (www.amitiscode.com). By comparing model results with NASA’s MESSENGER and ESA’s/JAXA’s BepiColombo observations, the research aims to deepen our understanding of Mercury’s magnetosphere and its dynamic system. The project foresees ample collaborative opportunities with international research groups, including the Italian National Institute for Astrophysics (INAF, Rome) and the University of Michigan (USA).

Deadline : 2025-02-28

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(04) Fully Funded PhD Position 

PhD position summary/title:–PhD position in the molecular and cellular communication between cancer and the nervous system

During cancer progression tumors communicate with the nervous system resulting in worse cancer outcomes. While nervous system/tumor interactions are robustly documented at a histological level, the molecular mechanisms underling this, remain poorly understood. You will join an interdisciplinary collaborative team focusing on the signaling between the nervous system and tumors, leading to provocation of neural plasticity (such as growth and remodeling) and neurotropism of tumor cells (see lab web page). You will engage a systematic strategy to identify these mechanisms by examining how the nervous system forms, grows and is remodeled (i) normally during nervous system development and (ii) pathologically in tumor models leading to a more aggressive cancer, with an initial focus on pancreatic ductal adenocarcinoma (PDAC).

Deadline : 2025-02-23

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(05) Fully Funded PhD Position 

PhD position summary/title:–Stress response modelling in IceLab: PhD position in ecosystem modelling focused on responses of river network carbon processing to climate stress

River networks receive large amounts of carbon from terrestrial ecosystems, which is processed and respired into carbon dioxide (CO2) and methane (CH4), the most important greenhouse gases. Rivers emit large amounts of CO2 and CH4 to the atmosphere, but future projections of river CO2 and CH4 emissions are lacking because we lack predictive models. Ongoing climate change is particularly severe at high latitudes and has the potential to massively increase the delivery of carbon to river networks and emissions to the atmosphere.

This PhD project will develop reaction-transport models of carbon in river networks, both at fine-spatial resolution within small watersheds as well as at a pan-Arctic scale. The models will be used to predict future river emissions of CO2 and CH4, under distinct climate scenarios.

Deadline : 2025-02-16

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(06) Fully Funded PhD Position 

PhD position summary/title:–Stress response modelling in IceLab: PhD position in computational science to uncover organelle coordination mechanisms under stress

Plant cells harbor two distinct membrane-enclosed organelles, mitochondria and chloroplasts, which are responsible for respiration and photosynthesis, respectively. The chloroplasts and mitochondria are functionally interconnected, and balancing their activities is crucial for plant health, especially during stress conditions.

Chloroplasts and mitochondria evolved from free-living prokaryotic organisms through independent endosymbiotic events, retaining their own genomes despite significant evolutionary changes. Over time, these organelles have undergone extensive genome reduction, with most of their genes being transferred to the nucleus. As a result, the majority of organellar proteins are encoded in the nucleus, creating a strong interdependence between the organelles and the nucleus. This interdependence presents a complex challenge, requiring precise coordination among the nucleus, mitochondria, and chloroplasts, which can be likened to a cellular ‘three-body problem.’

This PhD project aims to uncover the signaling pathways plants use to coordinate activities among the nucleus, mitochondria, and chloroplasts. The project will involve the development and application of theoretical mathematical models, with experimental data serving to validate the model predictions. Ultimately, the project seeks to decode this intricate cellular coordination mechanism. 

Deadline : 2025-02-16

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(07) Fully Funded PhD Position 

PhD position summary/title:–Stress response modelling in IceLab: PhD position in computational science to uncover the mechanisms of immune memory

This project integrates data science, machine learning, and mathematical modeling to investigate how the immune system adapts — or fails to adapt — under stress. The research focuses on individuals undergoing therapies that suppress immune cells, leaving them vulnerable to infections and reducing vaccine effectiveness. A key research question drives this work: What mechanisms govern immune cell dynamics and antibody production during stress responses in the immune system? 

To tackle this question, we will leverage unique technology that combines advanced sequencing with mass spectrometry, mapping immune responses in unprecedented detail. By analyzing this rich immune cell data, the project aims to uncover patterns in immune cell dynamics and identify what constitutes a successful antibody response. These findings will provide crucial insights for designing better vaccines and therapies in the future.

Deadline : 2025-02-16

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(08) Fully Funded PhD Position 

PhD position summary/title:–Stress response modelling in IceLab: PhD position in computational science to uncover how ecological communities respond to climate-induced stress

As climate change transforms the environment, it is also altering the distribution of plants and animals across the planet. These changes impact natural regions, or bioregions, where species coexist. To protect biodiversity, it is crucial to understand how these regions are formed and how they respond to environmental shifts. This involves uncovering the key mechanisms that define bioregion boundaries and predicting their responses to a changing climate.

To address these challenges, this PhD project will work closely with experts in ecology, biodiversity, and computational modelling. We will develop and apply innovative data-driven methods to map bioregions and predict how they may change over time. By integrating advanced tools to analyse large datasets on species, their evolutionary histories, and the environments they live in, the project aims to uncover the processes that shape bioregions and identify areas where biodiversity faces the greatest risk.

Deadline : 2025-02-16

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(09) Fully Funded PhD Position 

PhD position summary/title:–Stress response modelling in IceLab: PhD position in computational science to decipher master regulatory mechanisms of plant stress responses.

Plants are the foundation of human nutrition, but their ability to sustain agricultural production is under growing pressure. Increasing population demands, limited natural resources, and unpredictable climates pose significant challenges to global food security. To address these issues, we need to develop crops that can thrive even under stressful conditions, including drought, heat, or nutrient deficiencies. 

This PhD project aims to uncover how plants detect and respond to stress, focusing on the Mediator complex – a key regulatory hub that integrates stress signals and coordinates the genetic and physiological changes necessary for survival. 

You will work with plant and computational experts to develop and apply advanced network analysis tools to map the complex signalling pathways that control plant stress responses. By integrating data across multiple levels – including stress signals, transcription factor interactions, chromatin modifications, and gene expression – the project will decode how plants manage stress at both molecular and whole-plant scales. 

Deadline : 2025-02-16

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(10) Fully Funded PhD Position 

PhD position summary/title:–PhD position in Experimental Physics with focus on Space Physics

The Earth is constantly losing parts of its atmosphere by its upper part being ionized and partially lost into space. To better understand this atmospheric escape, we must first get a better understanding of the plasma transport in Earth’s magnetotail.

The ‘Magnetospheric Space Plasma Group’ at Umeå University is therefore looking for a brilliant PhD candidate interested in performing research on the transport of heavy ions (He+, He++, O+) in Earth’s magnetotail, using observed data from the ESA Cluster and the NASA MMS multi-spacecraft missions.

Deadline : 2025-02-16

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(11) Fully Funded PhD Position 

PhD position summary/title:–PhD position in plant science with a focus on small proteins

This doctoral project focuses on exploring the molecular mechanisms underlying plant development, with particular emphasis on symmetry-breaking processes in flowers. Symmetry breaking is a fundamental biological phenomenon where symmetrical structures develop into complex, specialized forms. This process is crucial in multicellular organisms and plays a central role in shaping the diversity of plant and animal forms. The research combines experimental and computational approaches, leveraging advanced techniques such as genomics, proteomics, genome editing, and protein engineering. The project will focus on identifying and characterizing key molecular regulators, including microProteins, that control flower development. The PhD student will collaborate closely with mathematical modelers in biology and functional genomics experts to develop predictive models and derive insights from large-scale datasets.

Deadline : 2025-01-31

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(12) Fully Funded PhD Position 

PhD position summary/title:–PhD position in Molecular Biology

Integrity of the genome is critical to both the development and health of humans. Our chromosomes are constantly exposed to various types of DNA damage, which if unrepaired can cause diseases such as cancer. To meet these challenges, several DNA repair pathways have evolved. The Cohn laboratory is focused on understanding how these pathways work in human cells. We have discovered several new proteins playing important roles in these pathways. This PhD project has the goal to further elucidate the role of new components of the DNA repair pathways. It will do so through the application of state-of-the-art techniques in biochemistry, molecular biology and cell biology, combined with world-class mass spectrometry and high-resolution live-cell imaging and structural biology. Examples of methods to be used by the successful applicant are recombinant protein purification, in vitro assays, CRISPR/Cas9 genome engineering, various cell-based assays including sophisticated live-cell imaging, and cryo-EM. Please contact Martin Cohn (martin.cohn@umu.se) for details on the newest and most interesting ongoing projects. A person who is employed as a PhD student shall primarily devote his-/or herself to his/her own education. The project and research environment will give the dedicated student the opportunity to train as a first-class researcher.

Deadline : 2025-01-31

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(13) Fully Funded PhD Position 

PhD position summary/title:–PhD position in Medical Science with orientation towards Molecular Biology

The PhD project involves research using invertebrate model systems to investigate the mechanisms by which potential host genome editing processes enhance antigen receptor diversity, contributing to a deeper understanding of the human immune system. The experimental work will involve a variety of advanced techniques, including CRISPR/Cas9-based mutagenesis, imaging, genomics, and single-cell transcriptomics. 

 A person who is employed as a PhD student shall primarily devote his-/or herself to his/her own education. The project and research environment will give the dedicated student the opportunity to train as a first-class researcher.

Deadline : 2025-01-31

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(14) Fully Funded PhD Position 

PhD position summary/title:–1-2 PhD students in Computing Science with focus on Symbolic AI

In modern software systems and the organizations that run them, a substantial part of day-to-day decisions with critical impact on individual humans and society at large is either fully automated or heavily relies on automatically provided decision support. While machine learning approaches become increasingly prevalent in this context, the cores of the systems’ reasoning engines typically remain ‘symbolic’ (knowledge-based). These symbolic or neuro-symbolic software systems are of high practical complexity, which makes them difficult to reason about, for example when assessing which meta-level changes lead to the intended real-world impact. Working towards solving this problem, the theme of the broader project is ‘Automating Reasoning about Automated Reasoning’. From a fundamental research perspective, this relates to the automation of meta-reasoning pertaining to general-purpose reasoning methods. Here, the intended focus is on reasoning approaches that can revise their conclusions in face of new evidence/knowledge. The plan is to cover both nascent approaches that are considered promising facilitators of the fusion of subsymbolic, symbolic, and human intelligence, as well as industry-scale reasoning systems. Instances of the former class are different variants of formal argumentation, whereas in the latter case, the focus can lie on mainstream rule languages that are deployed in large-scale IT systems.

Deadline : 2025-01-30

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(15) Fully Funded PhD Position 

PhD position summary/title:–PhD student in Computing Science with focus on Compilation of Linear Algebra Expressions

Linear algebra expressions are evaluated in an efficient and robust way by mapping them to a carefully chosen sequence of calls to optimized functions as offered by libraries such as BLAS and LAPACK. The mapping is by no means unique, and different mappings differ in terms of time, space, and accuracy. When the sizes of the matrices are unknown at compile-time, as is often the case, then the problem is further complicated by the fact that no single mapping is optimal for all combinations of matrix sizes. As a consequence, any code generated (at compile-time) to evaluate the at run-time) must consist of more than just a single sequence of function calls.

We recently received a 4-year grant from the Swedish Research Council to investigate how to effectively compile linear algebra expressions when the matrix sizes are unknown at compile-time. The project aims to address the problem using e-graphs. An e-graph is a data structure commonly used in automated theorem provers and recently popularized for optimizing compilers and many other optimization tasks. We hypothesize that an e-graph would be an effective tool for discovering and encoding a large set of alternative ways of evaluating a particular expression with unspecified matrix sizes. When a concrete expression is evaluated at run-time, thus revealing the matrix sizes, an extraction algorithm can identify an optimal evaluation scheme for that particular instance of the expression from the compiled e-graph.

Deadline : 2025-01-30

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(16) Fully Funded PhD Position 

PhD position summary/title:–PhD position in Experimental Physics

The ‘Ultrafast Nanoscience’ group at Umeå University is looking for a highly motivated PhD candidate interested in performing research on ultrafast spectroscopy in condensed matter nanosystems. The project interfaces exciting fields of research, including ultrafast science, photonics and magnetism, with an overarching goal to understand the dynamics of electronic degrees of freedom (charges and spins) in nanostructured materials. 

The PhD student will study the physical mechanisms underlying light-matter interactions in nanoscale magnetic materials. By combining time-resolved (pump-probe) spectroscopy, finite element method and micromagnetic modelling, the candidate will design and realize plasmonic excitations affecting magnetic phenomena on ultrafast timescales. The project will disclose novel mechanisms which might have a huge impact on forthcoming light-driven data processing technologies. 

Deadline : 2025-01-15

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(17) Fully Funded PhD Position 

PhD position summary/title:–PhD position in Chemistry

The Molecular Geochemistry research group at Umeå University (UmU) (www.moleculargeo.chem.umu.se) and Boliden Mineral AB (www.boliden.com) initiated a collaboration in experimental geochemistry to minimize AMD. Also involved in the collaboration is the Department of Applied Geochemistry at Luleå University of Technology (LTU) (www.ltu.se).

AMD is the single largest environmental challenge for the mining industry, both in terms of potential consequences and operating costs. AMD is a natural weathering process in which sulfides in the rock material oxidize, forming sulfurous acid and lowering the pH of water. As the leachate from the rock material becomes more acidic, naturally occurring heavy metals from the rock are more rapidly leached out. Mines for base metals such as copper, zinc, and nickel are often rich in sulfides. Mine wastes produced after the extraction of these metals are can thereafter quickly generate AMD, resulting in important discharges of heavy metals to the environment if mining waste are not properly stored and treated.

Deadline : 2025-01-14

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(18) Fully Funded PhD Position 

PhD position summary/title:–PhD position in Molecular Biology

The project investigates bi-directional communication between the nervous system and the microbiota in the skin of zebrafish. Topics of particular interest include the role of chemosensory cells in detecting and regulating the microbiota, and mechanisms by which these cells alter host behaviour. 

A person who is employed as a PhD student shall primarily devote his-/or herself to his/her own education. The project and research environment will give the dedicated student the opportunity to train as a first-class researcher.

Deadline : 2025-01-09

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(19) Fully Funded PhD Position 

PhD position summary/title:–PhD position in plant science with a focus on cell wall dynamics

We are seeking a motivated PhD student to join the “Watchers on the Wall” project, which investigates the crucial role of plant cell walls in the early stages of immune responses. Your research will focus on uncovering the connection between changes in cell wall mechanics/composition and the activation of plant defense pathways.

You will employ cutting-edge Brillouin-Raman microscopy to monitor real-time, in vivo alterations in cell walls in response to diverse immune elicitors. Building on this, you will develop a chemo-optogenetic toolkit to precisely control cell wall degrading enzymes, enabling you to simulate specific cell wall perturbations and study their impact on signaling cascades.

Deadline : 2025-01-09

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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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