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Canary Wharf, Greater London, United Kingdom Queen Mary University of London Full timeAbout the RoleWe are seeking a highly skilled Postdoctoral Research Assistant to join our team in the School of Engineering and Materials Science. The successful candidate will work on creating numerical models of biomechanical structures and validating them through experimental work. They will also be responsible for writing and publishing research papers,...
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Postdoctoral Research Assistant
2 months ago
About the Role
We are seeking a highly skilled Postdoctoral Research Assistant to join our team at Queen Mary University of London. The successful candidate will work closely with Dr. Omer Bobrowski on the project "Universality in Topological Data Analysis", funded by the EPSRC.
Main Responsibilities
- Conduct research in probability theory and applied topology, focusing on phase transitions related to the topology of high-dimensional structures.
- Develop and implement new methods for topological data analysis, leveraging expertise in machine learning, applied topology, and probability theory.
- Collaborate with the research team to advance the project's goals and objectives.
About the School
The School of Mathematical Sciences at Queen Mary University of London is a world-renowned institution with a strong research presence across the spectrum of mathematical sciences. Our faculty comprises 85 academic staff, 16 research assistants, and 14 members of professional services staff, with a diverse student population of around 80 PhD students, 1,000 undergraduates, and 100 master's students.
Benefits
- Access to a generous pension scheme and 30 days' annual leave.
- A season ticket loan scheme and comprehensive range of personal and professional development opportunities.
- A range of work-life balance and family-friendly, inclusive employment policies, flexible working arrangements, and campus facilities, including an on-site nursery at the Mile End campus.
Requirements
- PhD degree in mathematics or equivalent level of professional qualifications and experience.
- Research experience in probability theory and/or applied topology, with expertise in at least one of the areas: machine learning, applied topology, and/or probability theory.
- Excellent communication and collaboration skills, with the ability to work effectively in a team environment.
