Cambridge Centre for Senior Teaching Associate and Industry Training Co-ordinator (Fixed Term)
Department of Applied Mathematics and Theoretical Physics
The Department of Applied Mathematics and Theoretical Physics invites applications for a Senior Teaching Associate and Industrial Training Co-ordinator in the field of Data Intensive Science. This position would be directly connected to both the new MPhil in Data Intensive Science and an associated Industrial Training Programme based on the core material.
The MPhil is supported by the Department of Applied Mathematics and Theoretical Physics, the Institute of Astronomy, and the Department of Physics and has been designed in collaboration with our leading researchers and industrial partners to provide students with expert training in Machine Learning (ML), Statistics, Computing, and their application to research. The MPhil will initially welcome a cohort of 50 students, but this is expected to grow to 100 over 5 years.
An Industrial partner has asked that the core material be adapted to form a comprehensive employee training in Machine Learning and AI. This will take the form of recorded lecture materials with supporting example sets and supervision support. The programme will initially train 30 expert trainers in the partner organisation who will then support the programme being rolled out within the company.
The successful candidate will have extensive experience analysing scientific data sets, either in academia or industry, preferably in one of the research areas mentioned above. They should have a proven track record of teaching and be an excellent communicator. They should be able to demonstrate a comprehensive understanding of, and show practical experience with, statistical methods and machine learning algorithms. They must be highly organised and motivated and should demonstrate aptitude for programme coordination. They must also be proficient in Python and the techniques required for software development best practice. Familiarity with other coding languages, in particular C++, and high-performance computing is desirable. It is expected that they will hold a PhD in mathematics or physics (or a cognate discipline).
The successful candidate will be expected to support the MPhil by: the creation and delivery of course modules; the supervision, assessment, and examination of modules; and the provision of computational projects for the new Master's degree. They will support the Industry Training programme by coordinating the training material and overseeing its delivery by our teaching team. This will primarily involve ensuring the content is clearly presented, coherent across topics and lecturers, appropriate to the trainee's level, is delivered in a timely manner and is of a high standard. They will also be expected to participate in the administration of tasks associated with the academic delivery of these two programmes.