Job Location: Milton Keynes, Remote/Hybrid
Weekly Working Hours: 14.8-37
Welsh Language: Not Applicable
Job Description:
About the Role
This opportunity is for multiple posts, up to an FTE of 1.6; we welcome part-time and full-time applications. Please detail in your supporting statement whether you are looking for part-time, full-time, or are open to either.
The successful candidate(s) will contribute to developing and delivering our statistics and data science curriculum. This will involve writing high-quality text-based teaching materials and creating innovative online pedagogic resources. Teaching at the Open University is collaborative and team-based; the ability to work collegially as part of a team is an essential part of the job. This team-based approach allows excellent support for the training and induction of new staff into the Open University teaching process.
The successful candidate(s) will contribute to the School’s research, scholarship, and external engagement activities, which may include the supervision of PhD students and exploring external funding opportunities.
This role will suit a candidate who is interested in high-quality teaching and research or in high-quality teaching and scholarship of teaching and learning, with opportunities to develop in all areas.
Key Responsibilities
The successful applicant will be expected to undertake a combination of the following duties at a level appropriate to career stage and to career focus (teaching and research or teaching and scholarship of teaching and learning, or all three).
Teaching
* Contribute to developing high-quality asynchronous teaching materials in statistics/data science, using new technologies as appropriate.
* Support student learning through the delivery and maintenance of existing modules and qualifications, including the preparation of assessment materials.
* Work with other academic and academic-related colleagues in the support of student engagement and progression and the enhancement of the quality of teaching and learning within the School.
Research and Scholarship
* Establish an independent research and/or scholarship programme that contributes effectively to the research and scholarship activities of the School and/or the Faculty and University.
* Contribute to the Statistical Advisory Service by supporting researchers across the university.
* Support the research and scholarship culture of the School and the Statistics Group, which may include attracting and supervising postgraduate research students and applying for external research or scholarship funding.
* Enhance the national and international reputation of the School, the Faculty, and the University through developing high-quality peer-reviewed publications, as well as representation at scientific meetings and other public-facing activities.
Other Academic Contributions
* Demonstrate a commitment to equity, diversity, and inclusion principles in all aspects of the role.
* Undertake a programme of continuous professional development.
* Contribute to the academic community in the School, Faculty, and University, including the opportunity to undertake a range of leadership and administrative roles.
Skills and Experience
Essential:
* A PhD, or equivalent level of experience, in an area of statistics or data science.
* The ability to contribute high-quality distance learning teaching materials for the statistics modules.
* The ability to carry out excellent research and/or scholarship of teaching and learning, in statistics and/or data science.
* Excellent communication skills, both oral and written.
* The ability to work collegially in a team.
* The ability to plan and organise work to agreed deadlines.
* A readiness to contribute to the life of the School through general citizenship, leadership, and administrative roles.
* A strong commitment to excellence in inclusive learning and teaching for a diverse student population and embedding equity, diversity, and inclusion in all aspects of the role.
Desirable:
* Experience of curriculum development.
* Strong track record in research/scholarship which strengthens or augments the existing research/scholarship activities in the School.
* Experience in the application of new technologies to teaching and supporting students.
* Experience in providing statistical support to researchers from different disciplines.
* Experience of interacting with the wider statistics and data science community.
* Experience in external engagement activities.
How to Apply
To apply for this role please submit the following:
* CV
* Supporting statement, up to 1,000 words, detailing your interest in this role and providing examples of where your skills and experience meet the essential and desirable criteria for this role as detailed above.
Start Date: September 2025 or as soon as possible thereafter.
Assessment: Interview, presentation, and pre-interview teaching task.
Work Location: It is anticipated that a hybrid working pattern can be adopted for this role, where the successful candidate can work from home and the office. However, attendance in the office will be required when necessary and in response to business needs.
Flexible Working: We are open to discussions about flexible working arrangements. Please reach out to discuss what works best for you and the role.
Closing Date: 28th March 2025
#J-18808-Ljbffr