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 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
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2. Fully Funded PhD in Informatics with a focus on Information Systems
Summary of Funded PhD Program
The PhD position has a particular focus on AI-based automation (e.g. autonomous forest machines, drones, and robots) and its organizational implications. It is situated in a research group at the department conducting research within the field of Information Systems (IS) focusing on the digitalization of human-natural systems and specifically forestry as an empirical industry context. The position is part of an externally funded research project which investigates the role of AI-based automation in forestry. The project includes faculty members from multiple universities as well as international collaborations and involves industry collaboration within the field of forestry digitalization. Empirical studies of AI-based automation in forestry, will be the focus of the PhD project.
Application Deadline: 2024-11-21
3. Fully Funded PhD in Chemistry with a specialization in Planetary Geochemistry and Spectroscopy
Summary of Funded PhD Program
This doctoral project aims to resolve what type of geochemical factors (e.g., mineralogy, salts, pH, temperature) play role on the preservation of water and biosignatures in Mars analogue soils using cutting-edge cryogenic vibrational spectroscopy, X-Ray Diffraction (XRD), and electron microscope techniques. Varied types of salts (e.g., chlorides, perchlorates, sulphates, carbonates) have been detected all over planet Mars. This provides formation of liquid-like “slush” well below 0°C that could support the water retention in near surface environments of Mars. However, we still do not know what the actual roles of minerals and salt are play on the biogeochemical processes occurred on Mars today. To resolve this, the doctoral project will provide a fundamental level information on the Martian geochemistry and a unique low-temperature spectral and imaging database for supporting upcoming and ongoing Mars missions of NASA and ESA.
Application Deadline: 2024-11-15
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4. Fully Funded PhD in medical science with a specialization in gut microbiota
Summary of Funded PhD Program
The gut microbiota is crucial for maintaining human health, and disease-specific alterations in our gut microbiota are now well-documented across populations. However, the overall composition and relative abundance of specific strains of the human gut microbiota may also naturally fluctuate with diet, geography, lifestyle factors, and age, both within an individual and across different populations. This knowledge is based on studies obtained from large scale shotgun sequencing of the human gut microbiome, only in the last few years.
Application Deadline: 2024-11-14
5. Fully Funded PhD in Experimental Physics with focus on Optical Frequency Comb Spectroscopy
Summary of Funded 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: 2024-11-08
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6. Fully Funded PhD in Computing Science with focus on Hybrid-AI: automated reasoning and machine learning
Summary of Funded PhD Program
Hybrid AI (HAI) systems are the next wave of AI which integrate the fundamental cognitive abilities of intelligent agents: being able to learn from their environment, reasoning about what has been learned and sharing the acquired knowledge. In HAI systems, machine learning approaches can extract observations and relations from the environment that allow reasoning (i.e. learning to reason). Moreover, semantic models of expert knowledge can be used to explain the learning occurred from observing the environment (i.e. reasoning about the learnt). Thus, HAI systems will develop a deeper understanding of the dynamic environments where we people live, enabling an easier human-machine interaction.
Application Deadline: 2024-11-05
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