Tenure: Fixed term up to 31st May 2028
The University of Liverpool is seeking an outstanding and highly motivated Postdoctoral Research Associate to join the School of Computer Science and Informatics. The successful candidate will contribute to cutting-edge research on the robustness, verification, evaluation and monitoring of Generative AI (GenAI) and Agentic AI systems.
The research will focus on developing novel methods to specify, assess, verify and monitor AI systems, with an emphasis on approaches that can provide formal or statistical guarantees. Particular interests include the assessment of rare-event risks in both technical and societal contexts, probabilistic reasoning, AI safety, AI alignment, runtime monitoring, and trustworthy deployment of AI-enabled systems.
The position offers the opportunity to work within a vibrant interdisciplinary research environment spanning machine learning, formal methods, statistics, software engineering and symbolic reasoning. The successful candidate will collaborate with leading academic and industrial partners across the UK and Europe and contribute to high-impact publications, software tools and benchmark datasets.
Applicants should have:
A PhD (awarded or near completion) in Computer Science or a closely related field.
A strong publication record in one or more of:
- Formal Methods and AI
- Neural-Symbolic AI
- Certification of Learning
- Runtime Monitoring or AI Guardrails
- Software Engineering for AI
- AI Alignment
- Expertise in probability and statistics.
- Strong programming skills, particularly for AI/ML research.
- Excellent communication and scientific writing skills.
Experience publishing in leading venues such as NeurIPS, ICML, ICLR, AAAI, IJCAI, ICSE, CAV, TACAS or ASE would be advantageous.
Informal enquiries may be directed to Huang, Xiaowei, email: .
If you are still awaiting your PhD to be awarded you will be appointed at Grade 6, spine point 30. Upon written confirmation that you have been awarded your PhD, your salary will be increased to Grade 7, spine point 31.
Our commitment to Equality, Diversity and Inclusion
We are committed to enhancing a workforce as diverse as our community and particularly encourage applicants who are of minoritised genders and ethnic backgrounds, living with a disability, and/or are members of the LGBTQIA+ community.
Postdoctoral Research Associate in Robust and Trustworthy Generative AI in West Kirby employer: University of Liverpool
The University of Liverpool Management School is an exceptional employer, offering a vibrant and supportive work environment in the culturally rich city of Liverpool. With a strong commitment to research excellence and student experience, employees benefit from extensive professional development opportunities and a collaborative culture that values diversity and innovation. The School's state-of-the-art facilities and ambitious strategic vision for 2031 further enhance its appeal as a leading institution for those passionate about organisational psychology and management education.
StudySmarter Expert Advice🤫
We think this is how you could land Postdoctoral Research Associate in Robust and Trustworthy Generative AI in West Kirby
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Get involved in local and national medical associations, like the Royal College of Physicians. These networks can help you connect with mentors and colleagues who might know of openings, plus they're great for staying updated on the latest in medicine and clinical practices.
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Some tips for your application 🫡
Show Off Your Credentials:When applying for a physician role, make sure to highlight your medical qualifications and any special certifications you have. We want to see your medical degree, residency training, and any additional certifications that set you apart, like specialised training in paediatrics or geriatrics. Don’t leave out those all-important letters after your name!
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How to prepare for a job interview at University of Liverpool
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Brush up on your clinical knowledge, particularly in areas relevant to the role at University of Liverpool. Expect questions about diagnosis, treatment plans, and patient management. Be ready to discuss case studies or even do some role-playing with hypothetical patient scenarios for a more practical assessment.
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