At a Glance
- Tasks: Lead groundbreaking research in AI and ML, exploring innovative areas like reinforcement learning and game theory.
- Company: The University of Manchester, a leading institution in research and innovation.
- Benefits: Competitive salary, academic benefits, and opportunities for professional development.
- Other info: Collaborative environment with excellent opportunities for career advancement.
- Why this job: Join a vibrant community and contribute to cutting-edge AI research that shapes the future.
- Qualifications: PhD or equivalent experience in AI/ML with a strong publication record.
The predicted salary is between 45000 - 55000 £ per year.
The University of Manchester is recruiting a Lecturer or Senior Lecturer in Artificial Intelligence and Machine Learning to bolster its AI and ML research capabilities.
Open research areas include causal modelling, reinforcement learning, game theory, AI for Science, human-in-the-loop AI, foundation models, deep learning, and developmental robotics.
Applicants require a Ph D (or equivalent industrial experience) and a strong publication record in top AI/ML venues.
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Lecturer in AI/ML — Research & Innovation employer: ML Scientist
The Alan Turing Institute is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the field of AI research. Located in the heart of the UK, employees benefit from access to world-class resources and a vibrant community of experts, alongside ample opportunities for professional growth and development. Join us to lead transformative projects that make a real impact on society while working with a passionate team dedicated to advancing knowledge in physical systems.
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We think this is how you could land Lecturer in AI/ML — Research & Innovation
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We think you need these skills to ace Lecturer in AI/ML — Research & Innovation
Some tips for your application 🫡
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✨Brush Up on Your Statistics
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
