Uk – Postdoc In Machine Learning At University Of Oxford

UK – Postdoc in Machine Learning at University of Oxford Join to apply for the UK – Postdoc in Machine Learning at University of Oxford role at Ph DFinder UK – Postdoc in Machine Learning at University of Oxford2 weeks ago Be among the first 25 applicants Join to apply for the UK – Postdoc in Machine Learning at University of Oxford role at Ph DFinder University: University of Oxford Country: United Kingdom Deadline: 2025-09-05 12:00 PMFields: Machine Learning, Artificial Intelligence, Computer Science, Engineering, Data Science Are you passionate about advancing the safety and robustness of artificial intelligence systems, especially in the rapidly evolving field of multi-agent large language and vision-language models? If you are eager to contribute to the next frontier of machine learning research, the Department of Engineering Science at the University of Oxford is offering an exceptional opportunity to join the renowned Torr Vision Group as a Postdoctoral Research Assistant.
About The University Or Research Institute The University of Oxford is one of the world's most prestigious academic institutions, located in the historic city of Oxford, United Kingdom.
Renowned for its rigorous research environment and innovative contributions across disciplines, Oxford consistently ranks among the top universities globally.
The Department of Engineering Science, home to the Torr Vision Group, is recognized for its cutting-edge research in artificial intelligence, computer vision, and machine learning.
The department's collaborative and intellectually stimulating environment fosters groundbreaking discoveries and professional growth for researchers at all stages of their careers.
Research Topic and Significance The focus of this postdoctoral position is the systematic evaluation of the safety of multi-agent systems powered by large language models (LLMs) and vision-language models (VLMs).
While recent research has made significant strides in assessing the safety of single-agent systems, there is a critical need to understand and address the unique challenges posed by multi-agent environments.
This includes evaluating the quality of interactions between agents, identifying potential attack surfaces, and developing robust defensive mechanisms to ensure the safe deployment of complex AI systems.
As AI agents are increasingly integrated into real-world applications, ensuring their safety and reliability is of paramount importance to both industry and society.
Project Details Also See Fully Funded Ph D and Postdoc Positions in Deep Learning at Western University Ph D Positions in 3 D Computer Vision at South Dakota State University USA – Ph D in Computer Science at University of Nevada, Reno Postdoctoral and Ph D Research Opportunities in AI, VR/AR, and Safety Systems at Texas…USA – Ph D in Machine Learning and Data Mining at University of Texas at Arlington The successful candidate will join the Torr Vision Group, a leading research team within the Department of Engineering Science, University of Oxford.
This group is widely recognized for its pioneering work in computer vision and machine learning.
The post is funded by Toyota Motor Europe, reflecting the high industrial relevance and real-world impact of the research.
The appointment is full-time and fixed-term, ending on 28th February 2027.
The postdoctoral researcher will be responsible for developing and implementing capability evaluations, designing and executing attacks, and creating defensive mechanisms for safe multi-agent systems powered by LLM and VLM models.
Candidate Profile Ideal Applicants Will Possess The Following Attributes– A Ph D (or near completion) in Machine Learning or a closely related discipline.– Demonstrated knowledge of agentic systems powered by LLMs or VLMs.– Experience or strong interest in safety evaluation, adversarial attacks, or defensive mechanisms in AI systems.– Ability to manage independent academic research and associated activities.– Excellent written and verbal communication skills, with the capacity to collaborate effectively within a multidisciplinary team.– A proactive and innovative mindset, eager to tackle emerging challenges in multi-agent AI safety.
Application Process Required Only online applications received before midday on the 5th September 2025 can be considered.
Applicants are required to upload the following documents as part of their online application:– A covering letter/supporting statement, including a brief statement of research interests (describing how past experience and future plans fit with the advertised position)– Curriculum Vitae (CV)– Details of two referees For more information about working at the Department, visit: www.eng.ox.ac.uk/about/work-with-us/Apply online at: https://eng.ox.ac.uk/jobs/job-detail/?vacancy ID=181146 Conclusion This is a unique opportunity to work at the forefront of machine learning research within a world-class academic environment.
If you are driven by a desire to make AI systems safer and more trustworthy, and you meet the outlined criteria, you are strongly encouraged to apply.
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