Our client, a prestigious academic institution in **Cambridge, Cambridgeshire, UK**, is seeking an accomplished Senior Lecturer in Artificial Intelligence & Machine Learning to contribute to its world-class Computer Science department. This role offers a hybrid working model, combining on-campus teaching and research with the flexibility of remote work. The successful candidate will be responsible for developing and delivering high-quality undergraduate and postgraduate courses in AI and ML, conducting innovative research, and contributing to the wider academic community. You will be expected to design engaging curricula, supervise student projects and dissertations, and foster a stimulating learning environment. A key aspect of this role involves leading and participating in research projects, publishing findings in reputable journals and conferences, and securing research funding. The ideal candidate will possess a PhD in Computer Science or a related field, with a specialization in AI or ML, and a strong publication record. Experience in teaching at the university level, curriculum development, and student supervision is essential. You should demonstrate a passion for advancing the field of AI and ML through both academic rigor and practical application. Collaboration with colleagues on interdisciplinary research initiatives and departmental administrative duties will also be part of your responsibilities. Our client is committed to excellence in research and education, and this position offers an exciting opportunity to influence the next generation of AI and ML professionals and contribute significantly to cutting-edge research. The hybrid nature of the role allows for a balanced approach to academic life, promoting both focused research time and direct engagement with students and faculty. If you are an accomplished academic with a vision for the future of AI and ML education and research, we invite you to apply.
Qualifications:
PhD in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field. Demonstrable record of high-quality research output and publications in leading AI/ML venues. Experience in university-level teaching, curriculum design, and student supervision. Strong research proposal writing skills and experience in securing research grants. Expertise in core AI/ML concepts, including deep learning, natural language processing, computer vision, and reinforcement learning. Excellent communication, presentation, and interpersonal skills. Ability to work effectively in a hybrid academic environment.
