Research Assistant/Associate in Machine Learnin: The University of Cambridge invites applications for a Research Assistant/Associate position in the Department of Engineering, focusing on Probabilistic Machine Learning. The successful candidate will contribute to advanced research in effective Human-AI cooperation under a UKRI Turing AI World-Leading Fellowship.
Research Assistant/Associate in Probabilistic Machine Learning
Designation
Research Assistant/Associate
Table of Job Details
| Category | Details |
|---|---|
| Research Area | Probabilistic Machine Learning |
| Location | Central Cambridge, Cambridgeshire, UK |
| Salary | Research Assistant: £32,296 – £34,866 Research Associate: £36,924 – £45,163 |
| Reference | NM44369 |
| Published Date | 10 December 2024 |
| Closing Date for Applications | 21 January 2025 |
Research Area
The role will advance the research program “Advancing Modern Data-Driven Robust AI,” funded by UKRI, with a focus on improving machine learning methods through probabilistic, information-theoretic, and causal inference frameworks.
Eligibility/Qualification
- For Research Associate Level: PhD in Computer Science, Information Engineering, Statistics, or a related field.
- For Research Assistant Level: Candidates who have submitted their PhD but have not yet received it.
Job Description
The candidate will be responsible for:
- Leading a technical research program on effective Human-AI cooperation.
- Conducting and planning research aligned with the program’s objectives, focusing on robustness through human oversight and cooperation.
- Engaging with real-world practitioners, stakeholders, and policy makers.
- Networking with colleagues and students, and planning research resources and workshops.
- Disseminating research findings via presentations and publications.
How to Apply
Interested candidates should:
- Register an account with the university’s recruitment system.
- Upload a CV and a 1-page covering letter outlining relevant experience.
- Include the contact details of two referees.
Additional documents will not be considered. Applications must be submitted by midnight on the closing date.
Last Date to Apply
21 January 2025
For further inquiries about the role, please contact:
- Dr. Miri Zilka: mz477@cam.ac.uk (Technical queries)
- Francesca McCaughan: cbl-enquiries@eng.cam.ac.uk (Application process inquiries)
The University promotes equality, diversity, and inclusion in its hiring policies and encourages applicants from all sections of society.
