Course Director, Intelligent Earth CDT

We are seeking to recruit to the post of Course Director for the Intelligent Earth Centre for Doctoral Training (CDT) in AI for the Environment.

As Course Director, you will use your research expertise in AI and/or quantitative environmental sciences, working closely with the Academic Director to develop and deliver the curriculum and training programme with academics across Oxford for this exciting new CDT, training cohorts of around 20 doctoral students annually.

Although the CDT is primarily based within the MPLS Doctoral Training Centre, it spans many different departments across the University and a broad portfolio of external partners, drawing on expertise and resources to provide a highly interdisciplinary student experience.  It combines taught courses in environmental sciences, research projects, transferable professional skills training and research seminars with a focus on tackling some of the most pressing environmental issues using AI and ML.

With the support of the Programme Manager, you will be responsible for the day to day running and monitoring of the training programme, ensuring that it is relevant, focused and fulfils the requirements of the students, academics, partners and funding body.

This post provides the opportunity to contribute to teaching areas of the curriculum within your field of specialism and you will develop and deliver activities which foster the cohort ethos and which support the EEDI aims of the programme.

This part time role (50%) can be matched with existing funding to create a full-time post for an extended period of time and could therefore suit post-holders of post-doctoral fellowships, subject to approval by the funding body and the department(s)/college where the fellowship is held.

Applications for this vacancy are to be made online. You will be required to upload a CV and supporting statement as part of your online application and details of two referees. If you do not wish the University to contact your referees before being progressed to the shortlist stage, please answer the relevant reference questions accordingly.

Only applications received before midday (UK time) on Wednesday 28th February 2024 can be considered. Please quote reference 170736 in all correspondence.