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 mathematics or mathematical statistics, with focus on geometric deep learning
Machine learning (‘artificial intelligence’) is having an immense impact on both society at large and research especially, and this impact is expected to increase. This boom is driven by so-called deep neural networks, a class of machine learning models proven incredibly powerful, versatile, and capable of solving many machine learning tasks. Mathematicians have taken huge steps towards theoretically understanding their empirical success, but many open questions remain.
A subfield within neural network theory is geometric deep learning. It concerns symmetries in the data or the learning task and constructing neural networks that react properly to them (equivariant networks). Examples of such symmetries are symmetries towards rotations of point clouds, translations of images or permutations of nodes in graphs. Combining the geometric/algebraic theory of (group) symmetries with the more analytical/statistical theory of machine learning allows for mathematically multifaceted research.
The project aims at deepening the mathematical theory of geometric deep learning. Exciting research questions include the development of new ways of constructing equivariant networks, describing the resulting models mathematically, and directly analyzing how symmetries affect the training of neural networks.
Deadline :2024-08-26
(02) 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.
The project foresees ample collaborative opportunities with other research groups in Europe, such as Lund University (Sweden), CIC nanoGUNE (Spain), Italian Institute of Technology (Italy) and the University of Luxembourg (Luxembourg).
Deadline :2024-06-30
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(03) Fully Funded PhD Position
PhD position summary/title:– PhD Student in Medical Science
The position aims at a doctoral degree and the doctoral student’s main task is to engage in their own doctoral training, which includes participation in research projects as well as doctoral courses, journal clubs, seminars, etc.
The main goal of the project is to develop an AI system for rehabilitation of patients with impaired arm and hand function. At the hand surgery clinic in Umeå, patients with impaired function in their arm and hand are treated. This may include traumatic amputation injuries as well as congenital absence or underdevelopment of a part of the upper extremity, a condition sometimes referred to as dysmelia. Injuries to the arm’s nerve plexus (plexus injury), or other nerves, can lead to a dramatic reduction in motor functions in the arm and hand.
Wireless sensors, for example based on surface EMG electrodes, gyroscopes, and accelerometers, are placed on the patient’s arm to collect data about muscle activity and movements. AI models analyze this data and provide tailored feedback to the patient. The system can also be used to control advanced myoelectric prostheses. The expected result of this project is improved rehabilitation processes and increased functionality for patients with impaired arm and hand function. Additionally, increased user-friendliness and control of advanced myoelectric prostheses can be achieved.
The doctoral project will be designed together with the recruited doctoral student based on their undergraduate education and preferences, but may include the design and development of software and/or hardware, as well as experimental studies where we evaluate how well the developed system can improve patients’ arm and hand function. The project will be based at the unit for hand and plastic surgery, at the Department of Diagnostics and Intervention to ensure that the development is patient-oriented, in close collaboration with Professor Tomas Nordström at the Department of Applied Physics & Electronics, and the Department of Medical and Translational Biology.
Deadline :2024-06-30
(04) Fully Funded PhD Position
PhD position summary/title:– PhD-student in Sociology
Umeå University is one of Sweden’s largest higher education institutions with over 37,000 students and about 4,700 employees. The University offers a diversity of high-quality education and world-leading research in several fields. Notably, the groundbreaking discovery of the CRISPR-Cas9 gene-editing tool, which was awarded the Nobel Prize in Chemistry, was made here. At Umeå University, everything is close. Our cohesive campuses make it easy to meet, work together and exchange knowledge, which promotes a dynamic and open culture.
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.
Deadline : 2024-06-19
(05) Fully Funded PhD Position
PhD position summary/title:– PhD position in Computational Sciences within the national Data-Driven Life Sciences program
This project addresses a fundamental topic in evolution concerning how and why microbes interact in the ways they do. We know that microbes have many possible options, or strategies, regarding what resources they consume to grow. Depending on these choices, pairs of microbes may either compete or cooperate. What actually happens depends on the ability of microbes to correctly assess the situation, i.e. solve a type of inference problem. Yet, little is known about the difficulty of this inference problem or what heuristics organisms might evolve.
This research project is a collaboration between Eric Libby and Laura Carroll. It involves using machine learning techniques to infer the mechanisms by which microbes make decisions, bioinformatic techniques to compare these mechanisms to empirical data, and game theory and modeling approaches to improve our understanding. The project has many exciting directions and opportunities for different quantitative tools and approaches.
The position is part of the DDLS research school, which means that the student will receive training and resources as a part of the DDLS program. In addition, the student will be based at the interdisciplinary center, IceLab, where they will gain professional training in communication as well as in conducting interdisciplinary research.
Deadline : 2024-06-17
(06) Fully Funded PhD Position
PhD position summary/title:– PhD student in Computing Science with focus on data privacy
The project will develop privacy-aware machine learning (ML) models. We are interested in building models that are explainable and are extracted from complex and heterogeneous data. Within explainable ML, we are interested in topics as provenance, interpretable and transparent models. Within privacy, we are interested in different types of privacy measures and models (differential and integral privacy, k-anonymity), different scenarios (centralized and decentralized data; local and global privacy). For decentralized data, we consider federated learning. Other topics of interest for this project are: aggregation, voting, game theory, and graph theory.
Deadline : 2024-06-14
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(07) Fully Funded PhD Position
PhD position summary/title:– Ph.D. position in developing membranes for gas separation applications
Our research group strives to design and synthesize innovative materials that will shape the future of separation science. In this particular project, we are dedicated to synthesizing polymer, and fabricating carbon molecular sieve membranes for gas separation application. The project represents a true intersection of various disciplines, offering you the opportunity to actively participate in the design and synthesis of polymers, fabricate membranes, and test the membrane for gas separation applications. Within this project, you will have access to cutting-edge gas separation facilities (e.g., gas booster, gas permeation, gas filtration, etc.), spinning hollow fiber membranes (single layer and dual layer), and carbonization equipment. Your contributions will play a crucial role in advancing our understanding and development of new materials for gas separation applications.
Deadline : 2024-06-12
(08) Fully Funded PhD Position
PhD position summary/title:– Two PhD-positions at the department of informatics
At the Department of Informatics, research and education is conducted with a focus on digitization of society, organizations and interaction. Digital technology has become an enabler for changed ways of living and conducting business. In our research, we study these changes and change processes and we study the interaction between humans and technology to understand technology’s possibilities and its limitations. In our studies of digitization, we move in many contexts such as the public sector, media, games, entertainment, financial companies, entrepreneurship, IT companies, manufacturing industry and trade.
Those who are employed as a doctoral student must primarily devote themselves to their own research training that is intended to result in a doctoral degree. The work includes both own research and participation in postgraduate courses. You will be part of the department’s research work where you work closely with researchers at the unit. The doctoral work for this position is expected to focus on digitization for societal benefit and we would like to see the doctoral student do studies in the surrounding society. In your application, you can formulate the direction and research question yourself. The doctoral internship is carried out as independent work within the chosen field together with a supervisor. Therefore, great importance is attached to the attached research plan. To a certain extent, the employment may include some teaching or other institutional service (maximum 20%). In that case, the employment period is extended to a corresponding extent.
Deadline : 2024-06-12
(09) Fully Funded PhD Position
PhD position summary/title:– PhD position in Mathematics focusing on geometric deep learning
Deep learning has enjoyed tremendous success on an impressive number of complex problems. However, the fundamental mathematical understanding of deep learning models is still incomplete, presenting exciting research problems spanning areas such as differential geometry, numerical analysis, and dynamical systems. Neural ordinary differential equations (NODEs) mark a recent advance in geometric deep learning, the pursuit to incorporate symmetries and non-Euclidean structures in machine learning using geometrical principles. NODEs describe the dynamics of information propagating through neural networks in the limit of infinite depth using ordinary differential equations (ODEs) on manifolds and offer several appealing properties.
The dynamical systems in NODE models are constrained, however, in that the intrinsic nature of the dimension of a manifold fixes the dimension of their state vector. This limitation precludes the use of certain architectural elements, like the encoder-decoder structure used in autoencoders and sequence-to-sequence prediction, and applications where the dimensionality of the state space changes dynamically, like quantum mechanical systems interacting with classical external fields where quantization effects cause freeze-out of degrees of freedom.
To remedy these limitations, the overarching goal of this project is to accommodate variable dimension dynamics in geometric deep learning by extending NODEs from manifolds to M-polyfolds, a generalization of manifolds where the number of local coordinates is allowed to vary smoothly. This requires the development of a comprehensive geometric framework for flows and integral curves on M-Polyfolds and a theory of group actions compatible with the M-polyfold structure.
Deadline :2024-06-10
(10) Fully Funded PhD Position
PhD position summary/title:– PhD position in Mathematics focusing on complex geometry and optimal transport
In the 80’s and 90’s a surprising phenomenon was observed by physicists: It seemed like certain complicated geometric objects (Calabi-Yau manifolds) appeared in pairs, one taking the form of a mirror image of the other. The phenomenon was dubbed mirror symmetry and similarly as for other duality principles in mathematics, for example the duality of time and frequency in Fourier analysis, researchers quickly realized it could be very useful. An important branch of research with the aim of understanding mirror symmetry is the SYZ-conjecture, which gives a detailed description of a conjectural structure in Calabi-Yau manifolds. To show that this description is true has turned out to be very difficult. In essence, the problem consists of controlling the limit of solutions to certain (Monge-Ampère) partial differential equations when the dimension of their domain drops, which is a very challenging problem in general. However, due to a recent breakthrough the problem has been reduced to showing existence of solutions to a class of these equations in very singular settings. The purpose of this project is to show existence of these solutions and study their properties to learn more about mirror symmetry. The main new idea is to use optimal transport to achieve this. Optimal transport is a classical tool with roots in 18th century France, where it was studied in relation to engineering and geometry. Here, it will provide a link between the partial differential equations above and a very robust variational theory which, as indicated by preliminary results, might be very useful.
The doctoral student will carry out research in complex algebraic geometry and optimal transport as part of the project above, which is funded by the Swedish Research Council. As part of this, they will write articles (both as single author and in collaborations) and publish in international journals. The project will also present many opportunities to travel and take part in conferences and workshops with possibilities to initiate collaborations with researchers at other universities, both in Sweden and internationally. Upon completion of their doctoral degree, they will be in a good position to apply for national and international postdoc grants, for example the Mathematics Program by the Knut and Alice Wallenberg Foundation or the Marie Skłodowska-Curie Postodctoral Scholarships by the European Research Council.
Deadline : 2024-06-10
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(11) Fully Funded PhD Position
PhD position summary/title:– PhD Position in Experimental Physics with focus on Optical Frequency Comb Spectroscopy
The Optical Frequency Comb Spectroscopy Group (www.umucombs.org) works with development and applications of optical frequency comb spectroscopy for broadband precision measurements and sensitive detection of molecular species in gas phase.
We are now seeking a PhD student to work on the project aimed at high-resolution broadband spectroscopy of molecules of importance in astrophysics. Satellite- and ground-based observations of hot-Jupiter exoplanets revealed the presence of molecular species in their atmospheres. The observed spectra carry information about the composition, conditions and photo-chemistry in the exoplanetary atmospheres. To extract this information, accurate theoretical models of high-temperature spectra are needed. These, in turn, must be verified by data obtained from high-precision laboratory measurements. Such data are missing for many molecular species, because high-temperature spectra are difficult to obtain and very congested, and therefore hard to analyze. To circumvent this problem, we employ double-resonance spectroscopy with a frequency comb probe to selectively measure and assign individual hot-band transitions of methane and other molecules of importance in astrophysics. In double-resonance spectroscopy, a high-power laser pumps a single energy level and a weaker laser probes transitions from this selectively populated level to higher energy levels. Using a frequency comb as a probe allows the detection of a large number of these transitions simultaneously with high accuracy. Following the initial demonstration, described in Phys. Rev. Lett. 126, 063001 (2021) Phys. Rev. Lett. 126, 063001 (2021) – Sub-Doppler Double-Resonance Spectroscopy of Methane Using a Frequency Comb Probe (aps.org) (doi: 10.1103/PhysRevLett.126.063001), we recently developed a cavity-enhanced system with increased sensitivity for the comb probe, as described in Nat. Commun. 15, 161 (2024) Sub-Doppler optical-optical double-resonance spectroscopy using a cavity-enhanced frequency comb probe | Nature Communications (doi: 10.1038/s41467-023-44417-2). The aim of the PhD project is to use this system to measure and assign hot band transitions reaching the 9000 cm-1 energy levels in ethylene, and to further develop the system to reach the 12000 cm-1 energy levels in methane. The data obtained in the project will allow the verification of the theoretical predictions of high-temperature spectra, which in turn are needed to improve the accuracy of the modelling of high-temperature environments on exoplanets.
Deadline : 2024-06-10
(12) Fully Funded PhD Position
PhD position summary/title:– PhD-student
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.
Deadline : 2024-06-09
(13) Fully Funded PhD Position
PhD position summary/title:– PhD student in Business Administration with a specialization in finance
The doctoral student will work at the Department of Business Administration at Umeå School of Business, Economics, and Statistics (USBE) at the Accounting and Finance section. As a Ph.D. student, you should take doctoral courses and conduct independent research project within finance. The course part of the doctoral education amounts to 90 ECTS, while the research (thesis) to 150 ECTS. As a doctoral student you are expected to contribute to the research environment through active participation in seminars, conferences and other research activities that support your research as well as the research environment. The doctoral education equals four years of full-time studies (240 ECTS). From the second year, students are expected teach and carry out other school tasks which correspond to 20% of the working hours. Thus, the employment is thereby equally prolonged. For more information about doctoral studies: Education-and-research/support-for-doctoral-studies/
Deadline : 2024-06-03
(14) Fully Funded PhD Position
PhD position summary/title:– PhD position in Chemistry, with a specialization in the structural biology of viruses
Viruses belonging to the Pneumoviridae family are the predominant cause of acute lower respiratory infections (ALRIs) in young children. A thorough comprehension of viral structure is crucial to understand the molecular basis of viral replicative cycles and to inform on the rational development of therapeutics.
In your PhD studies, you will carry out research aimed at dissecting how virus particles assemble. You will characterize multi-component complexes involved in the assembly of viruses from the family Pneumoviridae and compare these to related viral families. Using a multi-modal structural biology and biophysics approach you will analyze structure and dynamics of these complexes to dissect the steps of viral assembly. You will employ both reduced in vitro systems to gain high resolution information, as well as large assemblies to gain ultrastructural insight. You will be provided opportunities to learn operation of cryogenic electron microscopes, 3D structure refinement, and model refinement. You will characterize interactions of viral proteins with lipids and their crosstalk with other binding events. The results of the project will provide a significant advance in our understanding of how virus building blocks come together to produce pathogenic progeny.
Deadline : 2024-06-03
(15) Fully Funded PhD Position
PhD position summary/title:– PhD-student in medical sciences, occupational and environmental medicine
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
The Department of Public health and clinical medicine at the Faculty of Medicine is looking for a doctoral student in the subject of Occupational and environmental medicine focusing on air pollution epidemiology. The employment period is four years and refers to full-time starting 2024-09-01 or as agreed.
Deadline : 2024-05-31
(16) Fully Funded PhD Position
PhD position summary/title:– PhD student position in chemistry with a specialization in biochemistry
The species that compose the human gut microbiome are poorly characterized at their molecular level, despite their important roles to keep a healthy state. The presence of pathogenic species or imbalances in the composition of commensal species are associated with disease. The doctoral studies are aimed at a doctoral degree where the main task is research within our effort to understand how microbial communities assemble and can be modulated towards healthy states.
In your PhD studies, you will use molecular biology/biochemistry and analytical chemistry approaches to characterize the glycosylation patterns that are prevalent in surface proteins of one of the major species groups of the human microbiome (species of the Bacteroidota phylum). This will involve using mass spectrometry and NMR based approaches, as well as synthetic biology techniques, to gain molecular insight into this protein modification. You will also identify and characterize the enzymatic pathways responsible for this modification. You will learn how to use advanced bacterial culture conditions to grow the species of the human gut microbiome in the absence of oxygen. You will also learn how to analyze large datasets.
At Umeå University, you will be immersed in a strong research environment at the Department of Chemistry and the Laboratory for Molecular Infection Medicine Sweden (MIMS), and have the chance to use the multiple facilities (e.g., NMR, metabolomics, protein expression, cryoEM) for a successful PhD. In addition to the research assignment, participation in postgraduate courses is also included.
Deadline : 2024-05-31
(17) Fully Funded PhD Position
PhD position summary/title:– PhD-student in medical sciences, Biomedical Engineering
Essential tremor (ET) is a slowly progressive disorder characterized by postural and kinetic tremors most often affecting the forearms and hands. It is a common neurological disorder, with a large negative impact on movement function and thus quality of life. The exact mechanisms behind ET are unknown but involve an overactivity in the brain areas that control body movements and coordination in general. The pathology may look different for different subgroups of ET. Deep brain stimulation (DBS) is electrical stimulation of brain tissue via implanted electrodes which is very effective in reducing tremor. The treatment can sometimes cause other neurological problems that require the treatment to be stopped or adjusted, and it is not fully understood why.
In this research project, the relationship between DBS, treatment outcomes in people with ET and underlying mechanisms is investigated. Within the research project, movement measurement (with motion sensors and optical motion capture systems) and brain imaging with functional magnetic resonance imaging (fMRI) are used to better understand the relationship between electrode placement, stimulation settings, treatment results and the patient’s specific motor dysfunction at brain and body level. This research is expected to give keys to more effective DBS treatments for ET and a better overall understanding of the disease. Read more about the project here.
Deadline : 2024-05-31
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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