Research Fellow at Imperial College London

Precision healthcare seeks to deploy therapies that are sensitive to the particular genetic, lifestyle and environmental circumstances of each patient. Understanding how best to use these numerous features about each patient is a true mathematical challenge. The EPSRC Centre for Mathematics of Precision Healthcare will bring together mathematicians with researchers in computing, engineering and medicine. Funded with a 2 million grant from the Engineering and Physical Sciences Research Council, researchers will take data from the healthcare sector and turn it into information and tools that are useful to inform clinical decisions and public health campaigns to improve the overall health of people in the UK.

- You will plan and lead the development and implementation of novel mathematics methods

in healthcare and medical research; - You will develop, apply and provide custom analyses for a wide variety of patient data;

- You will investigate a broad range of data driven approaches in medical and healthcare

research including machine learning, data assimilation and computational physiology; - You will independently plan and carry out research in accordance with the project aims;

- You will be engaged in cutting edge applied data science research;

- You will take initiatives in the planning and leading of independent research;

- You will direct the work of small research teams, supervising and taking responsibility for

the research team; - You will publish research papers in peer-reviewed journals;

- You will attend and present research at international conferences;

- You will develop contacts and research collaborations within the College and the wider

community; - You will supervise postdoctoral researchers, postgraduate students and undergraduate

research projects; - You will lead in the design and delivery of DSI postgraduate education programmes;

- You will be committed to personal development in order to succeed in career progression.

We are looking for a researcher who has:

- A very good academic track record including a first or upper second class degree and a PhD

in computer science or a closely related discipline, or equivalent research, industrial or commercial experience; - A background in computational science, in particular optimisation, data analysis, machine

learning and data assimilation techniques; - High level analytical skills, and the ability to ensure the validity and reliability of data;

- Background in signal processing, in particular systems identification and filter theory;

- Experience of implementation of data assimilation techniques within complex multi-physics

unstructured adaptive mesh models, and in particular fluid dynamics; - Experience of modern programming in languages including Fortran, C++ and Python;

- Experience working within substantial scientific computational projects and large multi-

disciplinary environments; - Excellent oral and written communication skills;

- Publications in high quality journals;

- Presented work at significant conferences;

- Strong leadership and management skills.

This is a full-time, fixed-term position for 24 months.

Support provided

We will provide mentorship from world-leading academics to enable you to reach your full potential. We also offer a very supportive environment for you to develop your research career, with full access to training courses and staff support within the College, including the award winningPostdoc and Fellows Development Centre and the Learning and Development Centre. You will be entitled to 10 days learning and development per year and will have access to a range of courses and workshops, as well as support for developing your fellowship application(s) and mock interviews.

Data Science Institute

The DSI is a global challenge institute, formed to harness the talents of a wide variety of researchers across Imperial College to address some of the world's most important issues. Imperial College London has chosen 'leading the data revolution' as a key research theme in its 2016-2021 strategy and the Data Science Institute has been created to act as a focal point across the College to address this topic. Our aim is to create a world class data science research base at Imperial College and foster collaboration and innovation in data driven research and education on a global scale. For more information on the research interests within the DSI please visit the DSI website.

The DSI has a strong track record in securing funding from a wide variety of funders including research councils and industry.

Should you require any further details on the role please contact: Emma Bowman, DSI Operations Manager: e.bowman@imperial.ac.uk.

To apply, visit www.imperial.ac.uk/jobs and search by the job reference XXXXXX.