Are you a Master’s graduate looking for fully funded PhD opportunities? Explore the range of funded PhD programs available at the Umeå University, Umeå, Sweden. Apply online now and kickstart your doctoral journey!
1. Fully Funded PhD Position in plant science with focus on deep-learning conifer genomics
Summary of PhD Program:
The PhD project focuses on plant genomics and the development of deep-learning driven computational tool. (1) This project aims to develop new deep-learning driven TEs identification tools to further decrease the computational demand for large genome analysis. (2) To develop such an efficient computational tool, this project will first construct a comprehensive TE dataset to capture the sequence diversity of TEs by collecting genome data from hundreds of plant species. (3) This project will also look into TEs integration profile by predicting TE insertion from genome sequences. This project will potentially develop a set of new analytical tools and reveal a more insightful picture of TE movement and evolution.
Application Deadline: 2024-09-02
2. Fully Funded PhD Position in Experimental Physics
Summary of PhD Program:
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.
Application Deadline: 2024-08-31
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3. Fully Funded PhD Position in mathematics or mathematical statistics, with focus on geometric deep learning
Summary of PhD Program:
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.
Application Deadline: 2024-08-26
4. Fully Funded PhD Position in Experimental Physics with focus on Optical Frequency Comb Spectroscopy
Summary of PhD Program:
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.
Application Deadline: 2024-08-19
5. Fully Funded PhD Position in Medical Science (Neurophysiology)
Summary of PhD Program:
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.
Application Deadline: 2024-08-16
6. Fully Funded PhD Position in Computing Science with focus on data privacy
Summary of PhD Program:
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.
Application Deadline: 2024-08-11
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7. Fully Funded PhD Position in Computing Science with focus on Interactive Systems that Reason Spatially
Summary of PhD Program:
This 4-year PhD project is funded by the Wallenberg foundation, WASP program. You will work in at the Department of Computing Science under the supervision by Associate Professor Zoe Falomir. Her group conducts research in spatial reasoning, spatial cognition and cognitive human-computer interaction. We collaborate with several national and international research groups. We use principles and methods of Artificial Intelligence, Human-Computer Interaction, and Cognitive Science.
Application Deadline: 2024-08-05
8. Fully Funded PhD Position in Molecular Biology
Summary of PhD Program:
The successful applicant will develop a research project to elucidate the poorly understood molecular mechanisms that control malaria parasite development in the mosquito. As part of an international and interdisciplinary collaboration, they will be able to draw on a broad range of novel CRISPR screening, single cell transcriptomic, metabolic modeling and cryoEM technologies to understand molecular determinants of parasite development and how such knowledge can be used to block the transmission of malaria. A person who is employed as a PhD student shall primarily devote themselves to their own education. The project and research environment will give the dedicated student the opportunity to train as a first-class researcher.
Application Deadline: 2024-07-30
9. Fully Funded PhD Position in Applied Electronics with focus on Safe and Secure Intelligent Embedded Systems
Summary of PhD Program:
We consider safety-critical cyber-physical systems that enable closed-loop, real-time interactions between the embedded computing system and the physical environment, facilitated by a sense-compute-actuate feedback loop. As such systems are ubiquitous in our modern society, it is important to ensure their safety and security despite the presence of significant hardware resource constraints including computing power, memory size, and networking bandwidth. This project aims to provide techniques and tools to help system designers in the effective and efficient design of safety-critical cyber-physical systems based on Machine Learning and Deep Learning, including deployment and applications of Large Language, Vision and Audio Models in autonomous vehicles and drones, taking into account safety, security and efficiency issues.
Application Deadline: 2024-07-22
10. Fully Funded PhD Position in informatics
Summary of PhD Program:
The doctoral position is linked to the project “Indigenous Digital Storytelling with New Media”, which has a special focus on generative artificial intelligence (GenAI), new media and support for storytelling. Within the project, you work with empirical studies as well as with prototype and theory development, user studies and publication of scientific articles at international conferences and journals. A particular focus of the project is AI tools for text-to-video, as well as AI as support and transformative technology related storytelling and cultural heritage.
Application Deadline: 2024-07-16
11. Fully Funded PhD Position in developing membranes for gas separation applications
Summary of PhD Program:
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.
Application Deadline: 2024-07-15
