University Assistant Professor in Machine Learning
2025-02-26 Cambridge
The successful candidate will contribute to research and teaching in Information Engineering, developing an independent research portfolio, securing grants, and mentoring students. Teaching responsibilities span all four years of the undergraduate MEng program, with a focus on 3rd and 4th-year modules in machine learning, computer vision, and probabilistic modeling, as well as opportunities to teach and supervise graduate students.
Research:
The candidate will be expected to contribute to the research and teaching within Information Engineering. Assistant Professors are expected to develop their own research portfolio, including winning research grants and recruiting research students. Lecturers are expected to establish an independent theme of research, as well as collaborating with others in related fields.
Teaching:
Almost all undergraduates in Engineering take a 4-year course leading to the MEng degree. In the first two years, courses cover the foundations of engineering common to all of the main disciplines. In the second two years, the courses are modular and become more specialised, especially in the 4th year where courses often include aspects of current research. In the 4th year, students also do a major project and all staff are able to propose and supervise projects. These can range from software development and basic experimentation through to mini-research projects. The teaching responsibilities associated with this post lie across all four years of the undergraduate course, with an emphasis on 3rd and 4th year Information Engineering modules. The successful candidate can expect to contribute to courses related to machine learning and/or computer science, such as the 3rd year module in Inference (3F8), and 4th year modules in Deep Learning and Structured Data (4F10), Computer Vision (4F12), and Probabilistic Machine Learning (4F13). There will also be opportunities to teach courses and supervise students on the graduate level MPhil in Machine Learning and Machine Intelligence. Teaching duties are reviewed annually to ensure a fair allocation of load.
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