The School of Physical Sciences invites applications for a Senior Teaching Associate 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 MPhil in Data Intensive Science (https: // mphildis.bigdata.cam.ac.uk/)
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 MPhil are supported by the Department of Applied Mathematics and Theoretical Physics (DAMTP), the Institute of Astronomy (IoA) and the Department of Physics. The research areas initially linked to both the programmes are: Gravitational Wave Astronomy, Radio Astronomy, High Energy Physics, Stellar Dynamics and Accretion Disks, Cosmology, and Imaging. 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).
Due to the fast-moving nature of the topics covered in the MPhil, the role holder would be expected to participate in one or more of the research groups associated with the programme to maintain their knowledge of the current status of research, and techniques used, within them.
The successful candidate will be expected to support the MPhil primarily 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 also be expected to participate in the administration of tasks associated with the academic delivery of these programmes like overseeing the seminar series and industry led modules, and the coordination and delivery of non-examined short courses on advanced topics or transferable skills.
A new Academic Career pathway scheme for Teaching and Scholarship staff (ACP T&S) has been developed to recognise and reward outstanding contributions and celebrate academic achievement through promotion and/or pay progression. This post falls within this career pathway scheme. Further details of the scheme are available here: www. acptands.hr.admin.cam.ac.uk/acp-overview
Fixed-term: The funds for this post are available for 3 years in the first instance.
The Departments are active in promoting policies to address historic under- representation of women and minority groups in its workforce. Candidates from under-represented groups, as well as candidates with a track record in addressing barriers to equality and diversity in education, are particularly encouraged to apply.
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Applicants should submit the following documents with their application:
1)Curriculum Vitae (CV) 2)An experience statement of up to two pages setting out your past work in Data Intensive Science and how it relates to the skills required for this position. This should include a description as to how it connects with existing research activities within the MPhil. 3) A teaching statement of up to two pages setting out your approach to teaching and the contributions you can make to the new MPhil programme in Data Intensive Science. 4) Please include details of two referees, including e-mail address and phone number, whom the University of Cambridge can contact for references.
The deadline for applications is 11th December 2022
Shortlisted applicants will be invited to visit Cambridge in a week to be confirmed during January 2023 to give a teaching presentation, for informal discussions and formal interview.
The position is available immediately with a start date no later than April 2023.
For informal enquiries please contact Assoc. Prof. James Fergusson (Email: firstname.lastname@example.org).
Please quote reference KA34144 on your application and in any correspondence about this vacancy.
The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.
The University has a responsibility to ensure that all employees are eligible to live and work in the UK.Further information
Department of PhysicsSalary
15 November 2022Closing date
11 December 2022