Are you holding Master’s degree and looking for fully funded PhD positions? Umeå University, Sweden invites online application for multiple funded PhD Programs / fully funded PhD positions in various research areas.
Candidates interested in fully funded PhD positions can check the details and may apply as soon as possible. Interested and eligible applicants may submit their online application for PhD programs via the University’s Online Application Portal.
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:
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
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
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5. Fully Funded PhD Position in Medical Science (Neurophysiology)
Summary of PhD Program:
The PhD project will couple in vivo human microneurography (MNG) with robotic technologies and custom designed tools to investigate the nature and role of spindle afferent activity across sensorimotor contexts. A mammalian (rodent) model will also be used to investigate brain mechanisms involved in fusimotor control. The PhD candidate will therefore train in diverse techniques and will be expected to record, analyze and communicate a variety of neurophysiological and behavioral data.
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
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
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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.
