Applications now open. Closing date: 12th January 2025Interviews: 19th February 2025Applications are invited from outstanding candidates to join an MRC funded 4-year PhD programme in Human Genetics, Genomics and Disease at the MRC Human Genetics Unit (HGU), part of the Institute of Genetics and Cancer (IGC) at the University of Edinburgh.We combine the latest experimental and computational technologies to investigate how our genomes work to control the function of molecules, cells and tissues in people and populations. For more than half a century our research has been dedicated to understanding human genetic disease. Today we continue to apply our clinical and scientific expertise, harnessing the power of complex data, to improve health, and the lives of patients and their families.To achieve this our PhD programme harnesses strengths in genetics, disease models, bioinformatics, biochemistry, next generation sequencing and imaging technologies to understand how our DNA impacts human health and disease. We are committed to high quality training, mentorship and research excellence to prepare the next generation of scientists to think critically, and tackle challenging questions in biomedical research.Programme structureFirst 6 months: students participate in structured teaching covering key topics in areas such as genome regulation, disease mechanisms, disease models and biomedical genomics. This is combined with training in computational skills, statistics, and critical thinking. At the same time students participate in 2 mini-projects to experience different laboratory or computational environments.Subsequent years: Students develop one of the initial projects into a PhD project for the remaining 3.5 years.Who should apply?Applicants should have a UK or international 1st class or 2.1 degree or a Masters in any relevant discipline in biological or biomedical sciences. We are seeking motivated students excited by new opportunities who are keen to engage in high quality biomedical research. Applicants from a quantitative background with a UK or international 1st class or 2.1 degree or a Masters in physics, mathematics, statistics, engineering or computer science and an interest in applying their quantitative skills to biomedical research are also encouraged to apply.Up to 8 studentships are available to start in September 2024 for outstanding applicants. These studentships include tuition fees, an allowance for research consumables and a stipend at UKRI rates (currently £19,237 p/a). Applications are open to all individuals irrespective of nationality or country of residence. All applicants should satisfy the University of Edinburgh’s English language requirements.Why Edinburgh? Edinburgh University is consistently rated amongst the world’s best universities. We are a major center of biomedical research and have strong collaborations to other disciplines including informatics, mathematics, chemistry and physics, providing an exciting environment for ground breaking multi-disciplinary research projects. Edinburgh has often been voted as the UK city offering the highest quality of life and is renowned for its affordability and rich cultural life.Application procedureTo apply for this PhD programme, please click the APPLY NOW link below and follow the application guidelines on that webpage. Apply Now For informal enquiries or concerns about eligibility please contact Ian Adams (Ian.Adams@ed.ac.uk)Example projects Dissecting complex regulatory landscapes in the non-coding genome Supervisors: Professor Wendy Bickmore & Dr Shipra Bhatia Get to know your neighbours: recording the conversations between cancer cells and their niche in tumour initiation Supervisor: Dr Luke Boulter Helper helicases in human genome replication Supervisor: Dr Tom Deegan How do chromatin remodelling proteins and the nuclear gel collaborate to evade anti-cancer therapies? Supervisor: Professor Nick Gilbert Stem cells in growth and ageing Supervisor: Professor Andrew Jackson Sequence determinants of mRNA fate in neuronal differentiation Supervisor: Professor Grzegorz Kudla Investigating long-range enhancers and 3D genome topology at a human craniofacial disease locus Supervisor: Dr Hannah Long From mechanism to cure: AI-driven discovery of therapies for genetic disorders Supervisor: Professor Joe Marsh The roles of tumour metabolic phenotypes in genomic instability Supervisor: Professor Colin Semple Using single molecule approaches to understand DNA methylation Supervisor: Dr Duncan Sproul Understanding piRNA-guided chromatin remodelling Supervisor: Dr Ansgar Zoch This article was published on 2024-11-05