Queen Mary University of London seeks top talent in AI, Machine Learning and Computer Science

Queen Mary University of London is renowned for its cutting-edge research, ranked 14thin the world and 5thin the UK for the quality of our research (THE World University Rankings 2024) and in the top 100 universities worldwide according to the US News & World Report rankings.

Home to world-renowned researchers, Queen Mary University is now seeking to fillup to 30 new permanent academic positionsfor exceptional researchers and educators working in Artificial Intelligence (AI), Machine Learning (ML), or Computer Science.

These roles are available at all academic levels, from lecturer to full professor, and cater to both research-focused and education-focused interests. The deadline for applications is September 29. For further information, visit our website.

Professor Wen Wang, Vice-Principal and Executive Dean for Science and Engineering at Queen Mary University, said: "Queen Mary University of London is going from strength to strength as we expand our team of talented individuals in AI and Computer Science. The University has a history of pioneering Computer Science, and our interdisciplinary research and collaboration have produced breakthroughs in areas from AI for drug discovery and medical imaging, to plant biodiversity, to quantum computing. These strategic hires will further strengthen our position as a global leader."

Professor Colin Bailey, President and Principal of Queen Mary University said: "We are at the vanguard of research, innovation and education in the fields of AI, machine learning and computer science. We're continuing to strategically invest and expand our work in these areas - as we are across the university - by bringing in new talent. This strong position, coupled with our commitment to fostering a diverse and inclusive environment, makes us an ideal destination for researchers seeking to make a significant impact."

The Faculty of Science and Engineering is on a rapid upward trajectory, with research income more than doubling in the past two years. Recognised globally, 97 per cent of its science and engineering research output was rated as internationally excellent in the . Notably, the University's Engineering was ranked second in the UK for research quality, and its Computer Science and Informatics was ranked eighth overall, securing the first position for research impact.

The University is also at the continuous innovation is evident in its vibrant AI research community and recent recognition in the Knowledge Exchange Framework, where it was placed in the top category - Very High Engagement - for 'Research partnerships', 'Public and Community Engagement', and 'IP and Commercialisation'. In addition, supports Queen Mary University researchers to turn their innovations into successful businesses.

Queen Mary University remains committed to diversity and inclusion, actively seeking to build a faculty reflective of global society. The university particularly welcomes applications from individuals who identify as Black, disabled, or women at all stages of their careers.

• Full details about the positions and application process, please visit our dedicated webpages.

Applications of AI, Machine Learning and Computational Modelling

• Genomics and Life Sciences
• Drug Discovery and Medicinal Chemistry
• Healthcare, Medical Imaging, and Medtech
• Ecology, Conservation and Biodiversity
• Materials Discovery
• Transport, Sustainable Energy and Electronics
• Creative Industries, Human Communication and Behaviour
• Quantum Technology and Gravitational Waves

Fundamentals of AI, Machine Learning and Computing

• Mathematical Foundations, Risks and Opportunities of AI
• Computer Science

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