Contact:  director.mphildis[AT]phy.cam.ac.ukLocation:  Cambridge, UK
The School of Physical Sciences invites applications for a Assistant Teaching Professor 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) in Data Intensive science and the new MPhil in Data Intensive Science.
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 and research within the CDT, the role holder would be expected to be: research active, to participate in one or more of the research groups associated with the programme, and 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 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 management and running of the CDT primarily by: overseeing the students participation on the MPhil, their industrial placements, and day to day coordination of the centre and liaison with the students.
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 has been developed to recognise and reward outstanding contributions and celebrate academic achievement through promotion and/or pay progression.
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.
This position has funds for 3 years in the first instance, with the intention for the role to continue dependent upon the success of the MPhil course.