Are you holding Master’s degree and looking for fully funded PhD positions? Umeå University, Umeå, 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 Computational Science and Engineering with focus on digital physics and machine learning
Summary of 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
2. Fully Funded PhD Position in Chemistry with a specialization in Planetary Geochemistry and Spectroscopy
Summary of 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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3. 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: 2024-11-08
4. Fully Funded PhD Position in medical science with a specialization in gut microbiota
Summary of 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: 2024-11-07
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5. Fully Funded PhD Position in Computing Science with focus on Hybrid-AI: automated reasoning and machine learning
Summary of 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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