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• UKRI Centre for Doctoral Training in Biomedical AI – funded places available for 2020 entry

  • Start
    3 Oct 2019
  • End
    31 Jan 2020

  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.

  Programme benefits

  • Fully funded 4-year studentship, covering tuition fees, stipend and travel/research support.
  • Extensive choice of projects at the intersection of AI, biomedicine and social sciences, under guidance of world-leading researchers and clinical experts.
  • Interdisciplinary training programme comprising a bespoke bootcamp, taught courses, workshops, taster projects and other activities.
  • Opportunities for joint projects, research visits, internships and other collaboration with our extensive network of research and industry partners worldwide.
  • Tailored training in public engagement, entrepreneurship awareness, responsible innovation and leadership skills.
  • Wide variety of CDT events throughout the year, including seminar series, masterclasses, summer school, conferences, guest lectures and industry days.
  • State-of-the-art facilities and vibrant world-class research community at the University of Edinburgh.

  Entry requirements

  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.

  Funding

  CDT studentships fund 4 years of study, covering tuition fees, stipend and travel/research support.

  Deadlines

  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 University of Edinburgh is a charitable body, registered in Scotland, with registration number SC005336.

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• PhD position at the University of Bath

  • Start
    19 Dec 2019
  • End
    5 Feb 2020

  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:

  https://www.findaphd.com/phds/project/evolution-education-trust-phd-project-in-silico-modelling-of-the-evolutionary-capacity-and-constraints-of-pigment-pattern-formation-in-the-diverse-teleost-genus-danio/?p117463

  
  

  or email KIt: c.yates@bath.ac.uk or Robert: bssrnk@bath.ac.uk

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• Three Fully Funded PhD positions in Quantitative Developmental Biologyand Mathematical Modeling at Leiden University, The Netherlands

  • Start
    8 Jan 2020
  • End
    29 Jan 2020

  Three Fully Funded PhD positions on Quantitative Developmental Biology and Mathematical Modeling of Blood Vessel Growth near Tumors at Leiden University, The Netherlands

  *Key responsibilities*

  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

  http://pub.math.leidenuniv.nl/~merksrmh2/

  
  

  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:

  https://www.universiteitleiden.nl/en/research/research-facilities/science/cell-observatory

  Details about the positions and application procedure:

  For the mathematical modeling positions:

  https://www.universiteitleiden.nl/vacatures/2019/q4/19-594-phd-candidates-on-the-mathematical-modeling-of-blood-vessel-growth-near-tumors

  For the experimental position:

  https://www.universiteitleiden.nl/vacatures/2020/q1/20-018-phd-in-quantitative-cell-and-developmental-biology

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