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09 PhD Degree-Fully Funded at Umea University, Sweden 

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Umea University, Sweden  invites online Application for number of  Fully Funded PhD Degree 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 Degree – Fully Funded

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 : August 26th 2024

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(02) PhD Degree – Fully Funded

PhD position summary/title: PhD position in Medical Science (Neurophysiology)

Proprioception is essential for movement coordination. Muscle spindles are considered the principal receptors for proprioception. These complex sensory organs are traditionally believed to be muscle stretch receptors, signalling limb position and movement speed. Our lab has recently challenged such beliefs by showing that spindles are also highly responsive to local muscle pressure. These findings urge a re-evaluation of proprioceptive feedback in various sensorimotor contexts and neuromuscular pathologies. Part of the PhD project will further assess the impact of muscle pressure on human spindles. The project will therefore add significantly to our understanding of how we perceive our muscles’ mechanical state.

Deadline : 2024-08-16

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(03) PhD Degree – Fully Funded

PhD position summary/title: PhD position in Chemistry, with a specialization in recycling lithium ion battery

Our research group at the Nordic Membrane Laboratory, Umeå University, is dedicated to designing and synthesizing innovative materials and methods to advance the field of separation science. In collaboration with Toyota Motor Europe (TME), we are pleased to offer a PhD position focused on developing a novel approach to recycling lithium-ion batteries. This interdisciplinary project provides a unique opportunity to engage in a spectrum of activities including recycling, separation, re-manufacturing, and testing of lithium-ion battery components. As a PhD candidate, you will benefit from access to state-of-the-art recycling, manufacturing and testing instruments, guaranteeing a comprehensive, hands-on research experience. You will be co-supervised by academic expert from Umeå University and industry specialists from TME. Additionally, you will have the opportunity to spend time at TME facilities, where you can exchange ideas and actively participate in the recycling process. We invite you to apply and contribute to this innovative and impactful research initiative.

Deadline : 2024-07-03

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(04) PhD Degree – Fully Funded

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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(05) PhD Degree – Fully Funded

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.

Deadline : 2024-06-30

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(06) PhD Degree – Fully Funded

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 : 2024-06-26

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(07) PhD Degree – Fully Funded

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 : 2024-06-21

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(08) PhD Degree – Fully Funded

PhD position summary/title: PhD-student in Sociology

The Department of Sociology will employ two PhD students in two related but different research projects:

The first project is called ‘Disentangling discrimination in Europe: Patterns, processes, and consequences of discrimination experiences among multiple targeted groups in a comparative perspective’. The PhD student in this project will work with survey data (e.g. from the European Commission for Human Rights) to answer questions about both the causes and consequences of discrimination in society. Collaborations in an international environment are part of the work, as the project’s partner university is in Alicante, Spain.

Deadline : 2024-06-19

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(09) PhD Degree – Fully Funded

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.

Deadline : 2024-06-17

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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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