London University Seeks Top Talent in AI and Computer Science

Queen Mary University of London is expanding its research portfolio with up to 30 new academic positions in Artificial Intelligence, Machine Learning, and Computer Science. The university, ranked 14th globally and 5th in the UK for research quality, is seeking exceptional researchers and educators at all academic levels.

Professor Wen Wang, Vice-Principal and Executive Dean for Science and Engineering, highlighted the university’s history of pioneering computer science and interdisciplinary research breakthroughs in areas like AI for drug discovery, medical imaging, plant biodiversity, and quantum computing. The strategic hires will further strengthen the university’s position as a global leader.

Professor Colin Bailey, President and Principal of Queen Mary University, emphasized the institution’s commitment to fostering a diverse and inclusive environment, investing in world-leading research and education to address evolving societal challenges. The Faculty of Science and Engineering has seen its research income more than double in two years, with 97% of its science and engineering research output rated as internationally excellent.

Expanding Research Horizons: Queen Mary University of London Seeks Top Talent in AI, Machine Learning, and Computer Science

Queen Mary University of London, renowned for its cutting-edge research, is expanding its research portfolio with up to 30 new permanent academic positions in Artificial Intelligence (AI), Machine Learning (ML), and Computer Science. This strategic move aims to strengthen the university’s position as a global leader in these fields.

The Faculty of Science and Engineering at Queen Mary University has a history of pioneering computer science, and its interdisciplinary research and collaboration have produced breakthroughs in areas such as AI for drug discovery and medical imaging, plant biodiversity, and quantum computing. The new academic positions will cater to both research-focused and education-focused interests, with opportunities available at all academic levels, from lecturer to full professor.

The university’s commitment to fostering a diverse and inclusive environment, coupled with its sustained growth, makes it an ideal destination for academics seeking to make a significant impact. Professor Wen Wang, Vice-Principal and Executive Dean for Science and Engineering, emphasized that the strategic hires will further strengthen Queen Mary University’s position as a global leader in AI and Computer Science.

A Hub for Interdisciplinary Research and Collaboration

Queen Mary University is at the forefront of AI research, education, and policy, convening global events such as the UK AI Safety Summit. The university’s vibrant AI research community has been recognized 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’.

The Faculty of Science and Engineering is on a rapid upward trajectory, with research income more than doubling in the past two years. Recognized globally, 97 per cent of its science and engineering research output was rated as internationally excellent in the last REF (2021). 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.

Diverse Research Opportunities Across Multiple Disciplines

The new academic positions will integrate with existing teams in various areas, including 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; and Fundamentals of AI, Machine Learning, and Computing.

The university’s commitment to interdisciplinary research and collaboration provides a unique opportunity for academics to work across multiple disciplines, driving innovation and addressing the evolving challenges facing society. Professor Colin Bailey, President and Principal of Queen Mary University, emphasized that the university continues to invest in its world-leading research and education to align with the demands of future students.

A Global Leader in AI Research and Education

Queen Mary University’s continuous innovation is evident in its vibrant AI research community and recent recognition in the Knowledge Exchange Framework. The university’s membership in the U.S. Department of Commerce’s AI Safety Institute Consortium (AISIC) further solidifies its position as a global leader in AI research, education, and policy.

The deadline for applications is September 29, with further information available on the university’s dedicated web pages. This strategic expansion provides an exciting opportunity for talented individuals to join Queen Mary University’s community of world-renowned researchers and educators, driving innovation and shaping the future of AI, Machine Learning, and Computer Science.