Do you have a Master’s degree and are looking for fully funded PhD opportunities? Umeå University, Sweden is now accepting applications for several funded PhD programs across a range of research areas.
1. Fully Funded PhD in Molecular Biology
Summary of Funded PhD Program
The project investigates bi-directional communication between the nervous system and the microbiota in the skin of zebrafish. Topics of particular interest include the role of chemosensory cells in detecting and regulating the microbiota, and mechanisms by which these cells alter host behaviour. A person who is employed as a PhD student shall primarily devote his-/or herself to his/her own education. The project and research environment will give the dedicated student the opportunity to train as a first-class researcher.
Application Deadline: 2025-01-09
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2. Fully Funded PhD in Computational Science and Engineering with focus on digital physics and machine learning
Summary of Funded PhD Program
The doctoral project explores techniques for creating hybrid models that combine physics-based models and numerical solvers with deep learning, as well as novel ways of embedding these models in the systems for motion planning and control of robots and machines. The systems are thereby made aware of physics, which aims to make them safer and better at adapting to sudden changes in the environment. The project focuses in particular on the physics of mobile machines operating in rough and deformable terrain, equipped with manipulators for digging and loading granular materials and objects.
Application Deadline: 2024-12-31
3. Fully Funded PhD in Mitochondrial Protein Quality Control during Ageing
Summary of Funded PhD Program
The PhD project in the lab of Andreas Kohler focuses on the quality control of mitochondrially-encoded proteins. Mitochondria are vital cellular organelles originating as endosymbionts and hence, containing their own genome. Encoded proteins are major building blocks of the respiratory chain, important for cellular energy homeostasis and thus, for cellular functionality. To maintain cellular health during ageing, protein quality control (PQC) of mitochondrial proteins is essential. Although we have a growing understanding of how PQC of proteins encoded by nuclear DNA works, PQC mechanisms of mitochondrially-encoded proteins remain elusive. Our research aims to decipher the molecular principles of these PQC mechanisms in health, age, and disease by using Saccharomyces cerevisiae as major model systems.
Application Deadline: 2024-12-18
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4. Fully Funded PhD in structural biology of virus replication
Summary of Funded PhD Program
We are looking for a PhD student in Medical Science with an interest in molecular and structural virology. The position at the Department of Medical Biochemistry and Biophysics at Umeå University is temporary for four years to start during spring 2025 or as agreed. The PhD student will participate in activities provided by the Department of Medical Biochemistry and Biophysics, thus providing interaction with researchers from different research fields and access to various scientific and technical expertise. All PhD students at the Faculty of Medicine attend the doctoral education program.
Application Deadline: 2024-12-15
5. Fully Funded PhD in Molecular Biology
Summary of Funded PhD Program
We are looking for a PhD student in Molecular Biology and a special interest in microbial systems biology. The position at the Department of Molecular Biology at Umeå University is temporary for four years to start immediately or as agreed. The PhD student will participate in activities provided by the Department of Molecular Biology, the Laboratory for Molecular Infection Medicine Sweden (MIMS), and the Umeå Centrum for Microbial Research (UCMR), thus providing interaction with researchers from different research fields and access to various scientific and technical expertise.
Application Deadline: 2024-12-05
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6. Fully Funded PhD in Computing Science with focus on serverless edge AI
Summary of Funded PhD Program
This project aims to investigate and develop a serverless edge AI framework that addresses key challenges, such as enabling learning and inference at the edge for efficient resource orchestration, dynamically relocating workloads, supporting FaaS application mobility, and forecasting energy use and workload distribution across the cloud-edge continuum. By building an optimized framework with advanced algorithms (e.g., deep neural networks, sequence modeling, and multi-objective optimization), this project will enhance edge-based learning and decision-making, allowing for efficient orchestration of distributed resources.
Application Deadline: 2024-12-02
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