Are you holding Master’s degree and looking for PhD positions? Lund University, Sweden inviting online application for funded PhD Programs / fully funded PhD positions.
Interested and eligible applicants may submit their online application for PhD programs via the University’s Online Application Portal.
1. PhD Position in Electrical Engineering specialising in mobile VR/AR systems
Summary of PhD Program:
Virtual- and Augmented reality are quickly becoming a strong trend in the industry. The largest and most prominent global IT companies are investing heavily in these technologies as the next big evolution of the Internet. This doctoral project will research technologies to facilitate mobile VR/AR systems where processing and data management migrates from user devices to the edge clouds in mobile networks, to offload the devices and to facilitate the emergence of new services.
The research will be carried out in close collaboration between researchers from the department of Electrical- and Information technology and the department of Interaction Design, to tie together processing in mobile systems such as 5G and 6G with the specific requirements of VR/AR applications.
Theoretical models will be devised and tested in two state of the art laboratories, the 5G edge cloud lab and the VR/AR lab. The research will encompass modelling, optimisation and control of outbroken processing and data management and experimental implementation of the models and system components for testing and evaluation.
Last Application Date: 02.Nov.2022
2. PhD Position in Medical Radiation Physics with a focus on MR-Physics
Summary of PhD Program:
Diffusion MRI (dMRI) measures microscopic properties in the tissue by studying random motion of water molecules. In dense tissue, diffusion is slow, while it appears to be faster in looser tissue. dMRI can therefore detect cancers that cause the tissue to be abnormally dense. Unfortunately, current dMRI methods have a poor clinical performance. This shortcoming can be remedied by performing a wider range of diffusion encoding, and thereby learning more about the tissue microstructure.
For example, we aim to distinguish properties like cell density, cell shape, cell size, blood volume, and cell membrane permeability. Once estimated, these parameters can serve as biomarkers to improve the diagnostics and monitoring of disease.
Job Assignment: The main assignment is to work within the MR physics group on the development of prostate cancer diagnostics and radiotherapy monitoring in both the clinical and pre-clinical environment. We will strive to map tissue microstructure and link it to clinically relevant biomarkers.
Moreover, we continuously work on improving our technical approach, meaning that the work can include image reconstruction, machine learning and programming of the actual MRI system. The research group has a large international collaborative network, which means that travel for planning and execution of various future collaborative projects will be encouraged.
Last Application Date: 31.Oct.2022
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3. PhD Position in applied Physics: X-ray imaging instrumentation
Summary of PhD Program:
X-rays have a unique ability to investigate samples in their natural state, such as cells, proteins in solution or electronic devices potentially at resolutions up to the atomic level. The advent of diffraction-limited storage rings (MAX IV) and X-ray free-electron lasers (European XFEL) have opened a whole new spectrum of applications due to their unprecedented brilliance.
This project aims to develop a novel X-ray imaging method, christened X-ray multi-projection imaging, capable of filming processes in 3D, with temporal resolution several orders of magnitude faster than up-to-date 3D X-ray imaging techniques.
In particular, the candidate will work on the development of such technique and its application to the study of cellulose fibers, a renewable biomaterial, which can replace fossil-based materials. The developed instrument will be commissioned at two of the brightest sources in the world: MAX IV and the European XFEL.
Last Application Date: 31.Oct.2022
4. PhD Position in Building Physics focusing on sustainable buildings and future climate
Summary of PhD Program:
A sustainable development requires reduced use of resources for construction and heating. Thicker thermal insulation, new building parts and changed ventilation rate affect the properties of the buildings. This has sometimes resulted in moisture damage such as discoloration, mold growth, bad odors and rot. Actions to avoid these damages includes doing research that leads to updated building codes, standards and handbooks. The development of calculation tools has increased the possibilities of predicting moisture-related problems.
The doctoral project aims to support the construction industry in designing and erecting energy-efficient buildings, and renovating existing ones to new construction standards, so that the risk of moisture damage is minimized. If moisture damage is avoided, sustainable buildings are created that reduce the need for energy. In addition, resources are saved to produce materials, increases the life of the building and reduces the need for transport. It is critical to also take into account ongoing climate changes that place new demands on our buildings.
For energy performance, there are methods for developing and managing dimensioning climates that are used as boundary conditions in calculations. For moisture safety, however, there is a lack of good tools for producing dimensioning climates, this applies both to current and future climates.
The project therefore includes both studying moisture-proof solutions, which provide a sustainable construction, and developing a dimensioning climate that is used to calculate the moisture safety of the produced constructions. The main task for doctoral students is to dedicate themselves to their doctoral education, which includes both participation in research projects and doctoral education courses. The duties also include participation in teaching and other institutional work, however, a maximum of 20% of the working time. Teaching takes place mainly in Swedish.
Last Application Date: 21.Oct.2022
5. PhD Position in primary forest research
Summary of PhD Program:
Primary forests have many names, including pristine forests and virgin forests. They are characterized by little to no direct human impact, mainly the lack of logging. Humans use more than 75% of ice-free land globally, and pristine ecosystems have been transformed to crop lands, pastures and managed forests. Mapping, measuring and studying primary forests serves two purposes:
(1) Whilst we can increasingly detect changes in forest productivity, biomass and even mortality from space, the lack of precise land use maps means that it has been hard to determine what is natural dynamics and what is human intervention (e.g. logging, fertilization, planting). Primary forests are ideal sites to study natural processes since they are defined by little to no past and present direct human impact.
(2) How much carbon pristine forests store or the biodiversity they harbor, can be used to estimate how human land use has affected land carbon storage and biodiversity. Acquiring maps, knowledge and understanding of primary forests in a timely manner is key since old growth forests are being logged and lost at a high rate in Europe and globally. The states of primary forests are also informative for the states that could be reached when restoring ecosystems through free development protection or re-wilding.
Last Application Date: 20.Oct.2022
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6. PhD Position in numerical analysis
Summary of PhD Program:
The project is about so called coupled multiphysics problems, specifically the interaction of two partial differential equations across an interface. In particular, we consider environmental models involving air and water flows. Examples are atmosphere-ocean interaction within a climate model or the coupling of groundwater flows with river systems. The standard is a partitioned approach where existing codes for the subproblems are reused and they interact via the exchange of boundary information.
In this project, we design improved partitioned methods for time dependent problems, and analyze their mathematical properties. A key ingredient are so called waveform iterations. The final result of the project will be not only new/improved methods and mathematical results about their properties, but also an implementation in an open source C++ library.
Last Application Date: 20.Oct.2022
