UKRI Centre for Doctoral Training in Biomedical AI – funded places available for 2020 entry
The new UKRI CDT in Biomedical AI at the University of Edinburgh is looking to recruit 12 students to start in September 2020. Students will be fully funded for 4 years (stipend, fees and research support budget).
CDT website: http://web.inf.ed.ac.uk/cdt/biomedical-ai/apply
Building on a tradition of world-leading research and innovation at Edinburgh, our Centre will train a new generation of interdisciplinary scientists who will shape the development of AI within biomedical research over the next decades. Our students will be equipped with all the technical skills to realise biomedical breakthroughs through AI while anticipating and addressing the societal issues connected with their research.
The CDT programme follows 1+3 format. In Year 1 you will study towards a Master by Research, undertaking a number of taught courses and taster research projects to broaden and refine your skills and explore different research areas. In Year 2-4 you will propose and pursue an interdisciplinary PhD project under the joint supervision of an AI expert and an application domain expert.
A UK 2.1 honours degree, or its international equivalent, in computer science, mathematics, physics, engineering or a related discipline.
Applicants from a biomedical or social sciences background with relevant technical experience are also welcome.
CDT studentships fund 4 years of study, covering tuition fees, stipend and travel/research support.
Deadline for international applicants: 29 November 2019
Deadlines for UK/EU applicants: 29 November 2019; 31 January 2020
More information and how to apply: http://web.inf.ed.ac.uk/cdt/biomedical-ai/apply
Follow us on Twitter: @BioMedAI_CDT
The groups of Dr Kit Yates and Professor Robert Kelsh at the University of Bath, UK, are advertising a PhD studentship in mathematical biology: The four year fully-funded project, at the newly formed Milner Centre for Evolution, will model the evolution of zebrafish pigmentation patterning.
For more details see:
or email KIt: email@example.com or Robert: firstname.lastname@example.org
Three Fully Funded PhD positions on Quantitative Developmental Biology and Mathematical Modeling of Blood Vessel Growth near Tumors at Leiden University, The Netherlands
The PhD projects will be part of an interdisciplinary project that will unravel how modifications of the extracellular matrix, as they can occur for example near tumors, can modify the structure of new blood vessel networks. In this highly interdisciplinary project experimental biologists will work closely together with mathematical modelers on a daily basis, to enable incremental development and testing of theories of single-cell behavior and collective cell behavior during tumor angiogenesis. Based on cycles of iterative refinement of the mathematical model, followed by experimental validation, you will unravel aspects of blood vessel growth. You will prepare your insights for publication in the biological, biophysical, and/or biomathematical literature. One mathematical modeling project will focus primarily on the cellular scale and on the molecular mechanisms of mechanical cell-cell interactions. The second mathematical modeling project will focus on collective cell behavior, initially simplifying the underlying molecular details. The experimental project will focus on imaging single cell behavior and collective cell behavior during angiogenesis. Our interdisciplinary team carries out mathematical biology research in close interaction with our recently established experimental lab.
More information about the group can be found at
This interdisciplinary group is embedded at the Mathematical Institute and the Institute of Biology Leiden, both at the Faculty of Science at Leiden University. It is physically based at and embedded within the Cell Observatory of the Faculty of Science:
Details about the positions and application procedure:
For the mathematical modeling positions:
For the experimental position:
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