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14 Fully Funded PhD Programs at Uppsala University, Uppsala, Sweden

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Are you holding Master’s degree and looking for fully funded PhD positions? Uppsala University, Uppsala, 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 stabilizing measures for power systems

Summary of PhD Program:

Small oscillations (unwanted swings) in the turbine during operation can be amplified in the generator and cause the output to fluctuate significantly and can lead to mechanical damage. In order to avoid the phenomenon, models are needed that describe reality satisfactorily. Questions can then be asked of these models about how to reduce the swinging so that our electricity system becomes even more reliable of supply and electricity producers can avoid problems in their power stations.

Application Deadline: 31 October 2024

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2. Fully Funded PhD Position in nutrition science

Summary of PhD Program:

The project aims to study the ability to identify and communicate food safety in different professions who are responsible for food handling at different levels within, among other things, municipal care for the elderly. The data collection will focus on risk awareness, self-efficacy and goal fulfillment in relation to food safety and to be able to predict the factors behind knowledge about pathogens and risky foods, attitudes and food safe handling. Both quantitative and qualitative data collection methods will be applied.

Application Deadline: December 6, 2024

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3. Fully Funded PhD Position in Nuclear Disarmament Verification

Summary of PhD Program:

You will carry out research within the technical verification of nuclear disarmament. Existing or future agreements may regulate various activities within the nuclear weapons program, such as the production and use of fissile material, the limitation or reduction of nuclear warheads, or the testing of nuclear weapons. In AMC’s working group within technical verification, work is ongoing within several projects related to disarmament verification. 

Application Deadline: 21 October 2024

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4. Fully Funded PhD Position in materials science with focus on accelerated exploration of next-generation energy materials

Summary of PhD Program:

Automation and AI are becoming increasingly widespread in materials science, creating new opportunities for knowledge generation that can solve today’s most pressing challenges. A key area is the discovery of new materials for green energy, communication, batteries, and computing, for example. In this context, multielement inorganic materials such as chalcogenides are promising candidates for sustainable and scalable technologies. The problem is that there are many candidates to explore, and material properties are highly sensitive to synthesis methods and composition. Powerful and reliable experimental methods are required to identify and compare promising new materials among the thousands of possibilities.

Application Deadline: 8 November 2024

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5. Fully Funded PhD Position in focus on high-fidelity offshore wind farm modelling

Summary of PhD Program:

Trends such as larger wind farms and larger wind turbine rotors require high fidelity models such as large-eddy simulation (LES) to predict and understand the underlying aerodynamic and meteorological phenomena. Within this PhD project you will be part of a research group that focuses on fluid mechanics of individual wind turbines and wind farms. The project is concerned with the development of new modelling capabilities of an established numerical model. The main focus will be on the development, implementation and validation of a solver in an existing GPU-resident Lattice Boltzmann framework.

Application Deadline: 25 October 2024

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6. Fully Funded PhD Position in Computational Materials Chemistry

Summary of PhD Program:

We are looking for a motivated and ambitious student for theoretical studies of ion transport in solid-state battery materials. For this purpose, the main focus is to develop a multiscale computational framework for modelling ion-conductivity in complex battery materials. This framework will be used to carry out a high-throughput screening where a large number of hypothetical materials will be studied by systematically varying its composition. The large amounts of data provided by the screening will be used to decipher important connections between material structure and conductivity by using advanced data-mining strategies and machin-learning.

Application Deadline: 31 October 2024

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7. Fully Funded PhD Position in Scientific Computing focusing on Computational Inverse Problems

Summary of PhD Program:

The focus of this PhD project is computational inverse problems, specifically ultrasound imaging. Inverse problems are the art and science of looking into a box without opening it. Mathematically speaking, in inverse problems, we reconstruct the coefficients of a partial differential equation from partial observations of a field, for instance, the acoustic pressure. In ultrasound imaging, we try to reconstruct the interior of an object from the recordings of scattered acoustic waves.

Application Deadline: 10 November 2024

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8. Fully Funded PhD Position in data-driven modeling of ocean-based renewable energy systems

Summary of PhD Program:

The PhD project will model and develop offshore renewable energy systems, with a focus on wave power and floating offshore wind. The project will develop methods to predict non-linear dynamics and vulnerabilities based on data-driven methods, computational fluid dynamics simulations and machine learning. We offer a varied and exciting work that is designed by the PhD candidates together with the research team. The PhD student will be supervised by at least two supervisors and the research group consists of several seniors and PhD students working on different aspects of renewable energy and the electric grid. The Department of Electrical Engineering also gives a salary supplement to the doctoral students at the department. 

Application Deadline: 15 November 2024

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9. Fully Funded PhD Position in Materials Chemistry at the Program for Inorganic Chemistry

Summary of PhD Program:

The PhD project involves research in the field of fundamental materials science studies of thin films of functional multicomponent materials, specifically focusing on growth using magnetron sputtering, thermoelectric properties and components, material growth of thin-film and low-dimensional materials, as well as supporting computational studies.

Application Deadline: 15 October 2024

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10.
Fully Funded PhD Position in Automatic Control focusing on signal processing and mathematical modeling for physiological signals

Summary of PhD Program:

In this project, the selected candidate will join us in conducting research on data-driven methods to develop mathematical models of physiological signals. There will be a strong focus on dealing with large patient cohorts and learning to extract information from collected biological data using novel methods from machine learning and system identification. The potential applications will be in cardiology. The exact details of the research project are decided in a dialogue between the doctoral student and the supervisor.

Application Deadline: 25 October 2024

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11. Fully Funded PhD Position in Machine Learning building on physical principles

Summary of PhD Program:

There are two main strategies to derive and deduce models – either using theory-based first principles or data-driven approaches. This project aims to conduct basic research to create new tools for using these two modeling strategies in conjunction. Combining all prior knowledge, both in terms of available data and physical first principles, has the potential to result in better models than if we only had to rely on one of them. How physics should be combined with data-driven machine learning models depends on the problem and is an active and in many areas still underdeveloped research field. 

Application Deadline: 18 October 2024

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12. 02 Fully Funded PhD Position in experimental hadron physics

Summary of PhD Program:

We are looking for a PhD student who can participate in the collection and analysis of data from Belle II, as well as to develop modern analysis tools, possibly using machine-learning techniques, for electron-positron experiments. It is also possible to either include a theory component, or conduct a project within the hadron beam experiment HADES in Germany, if there is interest. The PhD student is expected to participate in meetings and workshops abroad work with simulations, reconstruction, analysis and interpretation of data, and contribute to tasks relevant for the operation and improvement of the experiment.

Application Deadline: 1 November 2024

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13. Fully Funded PhD Position in Ionic Neuromorphic Devices and Circuits for next-generation computing

Summary of PhD Program:

The human brain contains a vast number of neurons and synapses that enable unparalleled signal processing and computing functionalities. Inspired by this, neuromorphic computing (NC) mimics how the brain computes using electronic components. NC has thereby emerged as a promising technology for solving high-complexity puzzles efficiently. Nanopore/nanochannel-based ionic devices (iontronic devices), operating in an electrolyte environment, have recently emerged as competitive candidates for realising NC. They offer unique advantages, including abundant nonlinear mechanisms for mimicking neuromorphic behaviour, high biocompatibility, and low energy consumption.

Application Deadline: 31 October 2024

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