Mathematics Innovation Research Associate

The University of Surrey is a global community of ideas and people, dedicated to life-changing education and research.

We are ambitious and have a bold vision of what we want to achieve - shaping ourselves into one of the best universities in the world, which we are achieving through the talents and endeavour of every employee.

Our culture empowers people to achieve this aim and to collectively, and individually, make a real difference.

The role

We are seeking two talented and versatile mathematicians to join the School of Mathematics and Physics at the University of Surrey to lead the formation of a new team of interdisciplinary mathematical researchers. This role is partially funded by the Mathematical Innovators in the Digital Space Flexible Fund scheme.

As part of the role, you will be expected to work within interdisciplinary academic teams to:

• Work across different long-term and occasional short-term projects with diverse partnerships;
• Interface between academics in the Mathematics at the Interface and Fundamental Mathematics research groups and other partners in academia and industry;
• Learn about and implement new modelling techniques for interdisciplinary projects;
• Culture your own mathematical identity with a broad base of expertise;
• Demonstrate therewith leadership through the development of novel data-centric mathematical modelling within other disciplines;
• Engage in collaborative grant capture and impact acceleration.

About you

The successful candidate will have a PhD (or equivalent) in Mathematics or a closely related discipline, and ideally with experience of collaborative interdisciplinary working. You will also have some experience in presenting your work to a wide range of stakeholders and a track record of publishing novel scientific research. We are particularly interested in candidates who can evidence their experience with as many of the following areas as possible, preferably at least two:

• Interdisciplinary mathematical modelling
• Machine learning and/or other quantitative modelling in AI
• Statistical modelling
• Numerical analysis and scientific computing.

The posts are full-time and are fixed term for a period of up to 24 months.

How to apply

To apply please upload your CV and a cover letter via the university website outlining why you are suitable for the position and how you meet the criteria of the role specified in the Job Description.

Informal enquiries are invited and should be directed to Dr Matt Turner (m.turner@surrey.ac.uk).

Further details

For more information and to apply online, please download the further details and click on the 'apply online' button above.
  
In return we offer a generous pension, relocation assistance where appropriate , flexible working options including job share and blended home/campus working locations (dependent on work duties), access to world-class leisure facilities on campus, a range of travel schemes and supportive family friendly benefits including an excellent on-site nursery.

Click here to find out more about the benefits we offer to support you.
 
The University of Surrey is committed to providing an inclusive environment that offers equal opportunities for all.  We place great value on diversity and are seeking to increase the diversity within our community.  Therefore we particularly encourage applications from under-represented groups, such as people from Black, Asian and minority ethnic groups and people with disabilities.