Assistant/Associate Teaching Professor Data-Intensive Climate Science (Part Time, Fixed Term)
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The Department of Applied Mathematics and Theoretical Physics invites applications for a part-time (25%) Assistant/Associate Teaching Professor in the field of Data Intensive Climate Science.
This position will be directly connected to the MPhil in Data Intensive Science. 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 has a growing cohort of students, with a target steady state of 100.
The successful candidate will have extensive experience applying modern data-driven techniques to climate science. They should have a proven track record in research and 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 applied to climate science research challenges.
They must be highly organised and motivated and should demonstrate aptitude for programme coordination. They must also be proficient in techniques required for software development best practice, and familiarity with multiple coding languages and high-performance computing is desirable. A PhD in mathematics, physics climate science (or a cognate discipline) is essential.
The successful candidate will be expected to support the MPhil by: the creation, delivery, assessment and examination of a new course module in data-intensive climate science to broaden the scientific content of the MPhil; and the provision of relevant computational projects. They will also be expected to participate as appropriate in the administration of tasks associated with the academic delivery of the MPhil. Due to the fast-moving nature of the topics covered in the MPhil, the role holder would be expected to participate in research in data-intensive climate science to maintain their knowledge of the current status of research and data-intensive techniques used.
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. This post falls within this career pathway scheme. Further details are available here www.acptands.hr.admin.cam.ac.uk.
Appointment will be made at an appropriate point on the scale for University Assistant or Associate Teaching Professors. Appointment as Associate Teaching Professor will typically require a demonstrable history of exceptional achievement.
The closing date for applications is: 16 December 2025. The interview date for the role will be 18/19 February 2026, with a proposed start date of the beginning of Easter Term 2026.
Fixed-term: The funds for this post are available for 3 years in the first instance.
Click the 'Apply' button below to register an account with our recruitment system (if you have not already) and apply online.
Please indicate the contact details (inc email address) of three academic referees on the online application form and upload a full curriculum vitae and a description of your recent research (not to exceed three pages).
Please ensure that your referees are contactable at any time during the selection process. Please make them aware that they will be contacted by the Mathematics HR Office Administrator to request that they upload a reference for you to our Web Recruitment System; and please encourage them to do so promptly.
Informal enquiries are welcomed and should be directed to: Prof. James Fergusson Email: director.mphildis@phy.cam.ac.uk.
If you have any queries regarding the application process please contact the HR Office via email on LE48072@cam.ac.uk
Please quote reference LE48072 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.
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