Fixed-term: The funds for this post are available for 1 years in the first instance.
The Department of Computer Science and Technology is an academic department that encompasses computer science along with many aspects of engineering, technology and mathematics. We have a worldwide reputation for academic research with consistent top research ratings. The Department has an open and collaborative culture, supporting revolutionary fundamental computer science research, strong cross-cutting collaborations internally and externally, and ideas which transform computing outside the University. Please follow the link at: https://www.cst.cam.ac.uk to find out more about our department.
Applications are invited for a Research Assistant/Associate to work on the intersection of geometry, topology and machine learning with applications on health. The position will involve working with different research groups in the Department of Computer Science at the University of Cambridge, UK. In this collaborative project, we will apply insights from geometry and topology to discover new applications of machine learning in health. Multiple positions may be available.
Role Requirements:
The successful candidate must hold or submitted their PhD in mathematics, computer science or a related discipline.
This research is interdisciplinary. The candidate must have strong expertise in at least one of the following areas (1) or (2), and a clear interest in expanding their knowledge in both domains.
(1) Geometry/Topology -related methods in computer science.
(2) Machine Learning. (For example, graph neural networks, generative networks, or neural algorithmic learning.)
Appointment at Research Associate level is dependent on having a PhD. Those who have submitted but not yet received their PhD will be appointed at Research Assistant level, which will be amended to Research Associate once the PhD has been awarded.
Please follow the link at: https://www.cst.cam.ac.uk to find out more about our Department.
In addition to the base salary stated above, the successful candidate for this post will receive an additional 2.5% supplement to their pay.
Questions about the post and the recruitment process may be addressed to the HR Team at [email protected]
Please quote reference NR50598 on your application and in any correspondence about this vacancy.
The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.
The University has a responsibility to ensure that all employees are eligible to live and work in the UK.
