Are you a Master’s graduate looking for fully funded PhD opportunities? Explore the range of funded PhD programs available at the Lund University, Sweden. Apply online now and kickstart your doctoral journey!
1. Fully Funded PhD Position in Technology and Society focused on the economic analysis of digital market structure and cyber security
Summary of PhD Program:
The PhD position is part of an interdisciplinary research project on the economics of cybersecurity, funded by the Swedish Civil Contingencies Agency (MSB). Apart from SoeTech researchers, the project includes scholars in technology and psychology from Rise Research Institutes of Sweden and Uppsala University, respectively, as well as a PhD student in psychology at Uppsala University.
Application Deadline: 01.Nov.2024
2. Fully Funded PhD Position in Physics with focus on attosecond physics
Summary of PhD Program:
At the division, research is performed on the generation and application of extremely short light pulses, in the attosecond and extreme ultraviolet range. The activities span from ultrafast laser technology and extreme nonlinear optics to studies of the electron dynamics in atoms and molecules as well as more complex systems using attosecond light pulses. The division of Atomic Physics is now looking for two PhD students for the projects described below. The projects are founded through a Marie Sklodowska-Curie doctoral network: Quantum information science and ultrafast nonlinear control at the attosecond timescale – QU-ATTO
Application Deadline: 22.Oct.2024
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3. Fully Funded PhD Position in Biology with a focus on AI & Microbial Forensics
Summary of PhD Program:
We seek to recruit an excellent PhD student interested in doing world-class research at a leading lab. The position is suited for someone trained in engineering, computer science, and computational biology and has a strong quantitative background. Candidates should have solid computational skills, at least in Python and R. Candidates are also expected to have a strong grounding in math/statistics. The candidate will work jointly with Dr. Eran Elhaik and experts to develop forensic tools.
Application Deadline: 12.Oct.2024
4. Fully Funded PhD Position in Electrical Engineering with focus on Integrated Analog Circuit Design
Summary of PhD Program:
You will design analog-to-digital data converters (ADCs) in an advanced CMOS process, targeting a sampling rate of at least 2GS/s and a signal-to-noise-and-distortion ratio (SNDR) of at least 60dB at the Nyquist (i.e., highest) conversion frequency. The goal is to meet the demands of ultra-wide-band 6G communications.An integral part of the project is the study, development, and deployment of digital techniques to enhance the SNDR of the ADC, an approach that has recently gained huge popularity.
Application Deadline: 11.Oct.2024
5. Fully Funded PhD Position in Computational Fluid Dynamics for Hydrogen Engines
Summary of PhD Program:
This doctoral position is centered on the advanced study of Computational Fluid Dynamics (CFD) as applied to Hydrogen Internal Combustion Engines. The primary research focus is on the mathematical and computational modeling of hydrogen fuel dynamics in internal combustion engines, aiming to innovate and optimize engine design for zero carbon emissions. This involves a detailed exploration of the fluid mechanics and thermodynamics specific to hydrogen combustion processes, including turbulence modeling, combustion kinetics, and heat transfer in engine environments.
Application Deadline: 09.Oct.2024
6. Fully Funded PhD Position in Protein machine learning
Summary of PhD Program:
The project aims to better understand how conformational changes are encoded in protein sequences, and to develop new methodology to predict conformational diversity and changes using machine learning. With the help of deep-learning approaches methods to predict flexibility, conformational changes, and structural ensembles will be developed. The project may also involve application of the methodology in the computational design of proteins with the ability to sample conformational states. The methodology can involve the utilization of generative models to sample protein structures, extension of deep-learning frameworks for protein structure prediction, language models and algorithms for morphing and clustering.
Application Deadline: 03.Oct.2024
