Cambridge Centre for Senior Teaching Associate & CDT Co-ordinator (Fixed Term)
Department of Physics
The School of Physical Sciences invites applications for a Senior Teaching Associate and CDT Co-ordinator in the field of Data Intensive Science to be held in the Department of Physics. This full-time position would be directly connected to the existing Centre for Doctoral Training (CDT) (https://cdtdis.bigdata.cam.ac.uk/) in Data Intensive science and the new MPhil in Data Intensive Science ( https://mphildis.bigdata.cam.ac.uk/).
The CDT is an innovative 4-year PhD programme featuring two novel aspects; formal assessed training in data intensive science in the first year, provided by the MPhil, and a 6-month industry placement designed to broaden students experience. The MPhil is a cross-Departmental Programme in the School of Physical Sciences which has been designed in collaboration with our leading researchers and industrial partners to provide students with the theoretical knowledge, the practical experience, and transferable skills required to undertake world-leading data intensive scientific research.
The CDT and MPhil are supported by the Department of Applied Mathematics and Theoretical Physics, the Institute of Astronomy, and the Department of Physics. The research areas linked to both programmes are: Gravitational Wave Astronomy, Radio Astronomy, High Energy Physics, Stellar Dynamics and Accretion Disks, Cosmology, and Imaging. The CDT currently has 25 students and admits approximately 8 students each year. The MPhil will initially welcome a cohort of 50 students, but this is expected to grow to 100 over 5 years.
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 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. They must be highly organised and motivated and should demonstrate aptitude for programme coordination. It is expected that they will hold a PhD in mathematics or physics (or a cognate discipline).