HFpEF PhD positions, programs, scholarships and fellowships

This PhD project at the University of Leicester aims to develop and apply machine learning techniques to diffusion MRI data for detecting subtle myocardial microstructural alterations in individuals with type 2 diabetes and early heart failure with preserved ejection fraction (HFpEF). The student will optimise acquisition and post‑processing pipelines to quantify biomarkers such as mean diffusivity, fractional anisotropy, helix angle and secondary eigenvector angle, contributing to early risk stratification and personalised management of cardiometabolic patients.

The Department of Mathematics and Statistics at UiT The Arctic University of Norway offers up to three PhD positions affiliated with the Lie-Størmer Center, a joint initiative with the University of Bergen. The positions focus on research at the interface of pure and computational mathematics, covering areas such as Lie theory, polynomial ideals, Magnus expansions, and topological data analysis. Successful candidates will join a collaborative environment spanning Tromsø and Bergen, with opportunities to contribute to European mathematical networks and gain expertise in both theoretical and applied aspects of modern mathematics.

A fully funded PhD scholarship at the University of Newcastle (Australia) invites domestic students to research nonlinear topology optimisation for stretchable mechanical structures. The project combines nonlinear finite element analysis, physics‑informed neural networks, deep learning‑based optimisation, and additive manufacturing (FDM, SLA, SLS) to develop novel design strategies. Supervised by Professor Chi Wu, the award provides an annual stipend of $38,938 (2026 rate), tuition fee coverage, and up to $1,500 relocation allowance for a 3.5‑year period. Applications, including a CV, transcripts, research statement, and project proposal, must be emailed to [email protected] by 5 pm on 1 July 2026.

A fully funded PhD position at EPFL’s Microbial Physiology and Resource Biorecovery Laboratory invites candidates to investigate the physiology and genetic regulation of methane‑producing archaea (methanogens). The project combines wet‑lab microbiology, high‑throughput sequencing, bioinformatics, and co‑culture studies to understand methanogen ecology in anaerobic environments. Applicants need a Master’s in a related field, research experience, and strong English communication skills. Applications are reviewed on a rolling basis via the EPFL careers portal, with a flexible start date and annual renewable contracts up to four years.

This PhD project combines genomic and molecular techniques to study how opportunistic bacterial pathogens adapt to clinical and agricultural environments through inter-bacterial competition. Supervised by Professors Coulthurst and Holden, the work aims to identify genes and proteins critical for bacterial fitness, advancing understanding of pathogenesis and antibiotic resistance. Training includes cutting-edge genomics, genetic, and biochemical methods.

PhD position in wireless systems at Linköping University focusing on distributed sensing, hardware-efficient signal processing, robustness and resilience, and communication-efficient decentralized machine learning for 6G, distributed intelligence, computing, and drone swarms.

This PhD position in Environmental Technology and Management at Linköping University focuses on advancing design-for-sustainability research, including product/service system design, sustainability assessment, AI-driven lifecycle engineering, remanufacturing, and circular economy. The candidate will join a European academic network, undertake mandatory secondments in industry, and collaborate with international partners across Europe, Japan, and the USA, contributing to ecodesign methodologies and manufacturing strategies for large‑scale circular economy applications.

The PhD position at Linköping University involves research on first‑principles modelling of point defects in semiconductor materials, combining quantum‑mechanical methods with machine‑learning techniques. The candidate will work within the Theoretical Physics division, contribute to teaching up to 20% of time, and be employed on a salary basis with potential contract extensions up to five years.

The PhD position at Linköping University focuses on first‑principles modelling of point defects in semiconductor materials, integrating quantum‑mechanical methods with machine‑learning techniques. The successful candidate will work within the Theoretical Physics division of the Department of Physics, Chemistry and Biology, contributing to research on alloyed, disordered, and finite‑temperature systems. The role includes up to 20 % teaching or departmental duties and offers a four‑year funded employment with a locally negotiated salary progression.