At a Glance
- Tasks: Lead interdisciplinary mathematical research projects and develop innovative modelling techniques.
- Company: Join the University of Surrey, a global leader in education and research.
- Benefits: Full-time position with opportunities for professional growth and collaboration.
- Other info: Fixed-term role for up to 24 months with a dynamic research environment.
- Why this job: Make a real impact in mathematics and collaborate with diverse academic and industry partners.
- Qualifications: PhD in Mathematics or related field, with experience in interdisciplinary work.
The predicted salary is between 29700 - 36300 £ per year.
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.
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;
- Cultivate your own mathematical identity with a broad base of expertise;
- Demonstrate 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
- Numerical analysis and scientific computing.
The posts are full-time and are fixed term for a period of up to 24 months.
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