Research Assistant/Associate in Geometry, Topology & Machine Learning for Health Applications

Overview

This fixed-term position at the University of Cambridge's Department of Computer Science and Technology offers an opportunity to engage in cutting-edge research at the intersection of geometry, topology, and machine learning, focusing on health-related applications. The department is renowned globally for its academic research excellence, fostering a collaborative environment for transformative computing research.

Role Details

Applicants will work collaboratively with various research groups within the department to leverage insights from geometry and topology to innovate machine learning applications in healthcare. Multiple vacancies may be open under this project.

Qualifications and Expertise

Candidates must have completed or submitted their PhD in mathematics, computer science, or a related field. This role requires strong skills in at least one of these domains: (1) geometry and topology related methods in computer science, or (2) machine learning techniques such as graph neural networks, generative networks, or neural algorithmic learning. Candidates should be motivated to extend their proficiency across both areas.

Appointment and Terms

Individuals who have obtained their PhD will be appointed as Research Associates. Candidates who have submitted their PhD but have not yet been awarded will be appointed as Research Assistants, with promotion upon PhD conferral. The initial funding supports this post for one year, and a 2.5% salary supplement will be added to the base pay.

Additional Information

The University encourages applications from diverse backgrounds and is committed to equality, diversity, and inclusion. Applicants must demonstrate eligibility to live and work in the United Kingdom. Queries can be directed to the department HR team with the reference code NR50598.