Cross-Disciplinary 03 Post-Doctoral Fellowship (XDF) – United Kingdom

Applications are invited for Fully Funded Cross-Disciplinary 03 Post-Doctoral Fellowship (XDF) at the University of Edinburgh, United Kingdom.

Details

The beginning of the 21st century has seen enormous advances in science and technology. With the completion of the Human Genome Project and implementation of multiple “Big Data” approaches in biomedical sciences, there is now a pressing need to train a new generation of mathematically-minded biomedical scientists who will be able to bridge the gap between life sciences and mathematics/physics/informatics, and efficiently link modern biomedical research with complex data research technologies. To address this need a pioneering Cross-Disciplinary Post-Doctoral Fellowships program (XDF) has been initiated in 2018 at the University of Edinburgh with matching financial support from the Medical Research Council (with subsequent incorporation of other funds). This is the third recruitment phase, with 4 XDFs and 3 XDFs already in post from recruitment in 2018 and early 2019, respectively.

The University of Edinburgh is one of the world leading research universities (ranked 4th in UK for its research power) and is at the forefront of both computational sciences and health sciences. Informatics is the largest and strongest computer science department in the UK (1st for research power according to REF2014), with particular strengths in data science and computational biology. Clinical medicine has been ranked 4th in the UK (research power) with Institute of Genetics and Molecular Medicine (IGMM) being one of the biggest biomedical research establishments in the country. The XDF Programme lead, Prof. Ponting, was trained first in particle physics before pursuing a successful career in biomedicine, so knows first-hand the skills necessary for Fellows to transition into “Complex Data Biomedicine”. The programme is led by a board of Directors, including Profs Jane Hillston and Guido Sanguinetti (School of Informatics) and Profs Margaret Frame and Tim Aitman (School of Molecular, Genetic and Population Health Sciences/IGMM), who will provide Fellows with diverse perspectives.

Benefits

Successful applicants will receive the following benefits:

  • The role is grade UE07 and attracts an annual salary of £33,199 to £39,609 for 35 hours each week
  • Salaries for part-time staff are calculated on the full-time scales, pro-rata to the Standard Working Week
  • This post is available on a fixed term basis, with a working pattern of 35 hours per week for 48 months

Eligibility

To be eligible for Postdoctoral fellowship, an applicant must:

  • Appropriate degree, with relevant post-graduate research experience and a PhD ( or near completion) in Statistics, Informatics, Physics, Engineering, Mathematics, Computer Science, Computational Biology, Physical Chemistry or similar subject
  • Equivalent professional qualification and/or experience will also be considered
  • Ability to communicate complex information clearly, orally and in writing 
  • Motivation to succeed at interdisciplinary research 
  • Expertise in complex data analytical approaches and models 
  • Ability to conduct high quality research maintaining clear and accurate records 
  • Discipline and regard for confidentiality and intellectual property at all times

Application

To apply for Cross-Disciplinary 03 Post-Doctoral Fellowship (XDF), an applicant must submit following documents with online application:

  • Curriculum Vitae
  • Other documents

Fellowship link

Publish Date:
Institute Name: University of Edinburgh
Degree/Course: Postdoctoral Fellow
Deadline: September 20, 2019
Country: United Kingdom
Course Start:
Apply:
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