07 Fully Funded PhD Programs at Umeå University, Umeå, Sweden

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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

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2. Fully Funded PhD Position in Experimental Physics

Summary of PhD Program:

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. 

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:

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.

Application Deadline: 2024-08-26

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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.

Application Deadline: 2024-08-19

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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. 

Application Deadline: 2024-08-16

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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. 

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:

Current AI technology surpasses humans in pattern recognition tasks, but it falls short on general world knowledge understanding, common sense reasoning, and the human capabilities of explaining the process followed to solve a problem. Our project goal is to design and develop interactive systems that reason spatially and which are centred in the human user (e.g. to expand their skills, instead of replacing them). This project will make contributions to an enriching user interaction with autonomous systems in a bidirectional way: (i) users’ interaction enhances the spatial reasoning by the autonomous system; and (ii) users’ spatial skills are improved by interaction with the system.

Application Deadline: 2024-08-05

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