Graduate teaching associate computer science

Graduate Teaching Associate Computer Science

Graduate Teaching Associate - Computer Science

Full Time - Permanent - High Wycombe

Salary - £33, - £37,

Buckinghamshire New University is an ambitious, modern university that is always open to fresh ideas and thinking. We believe in the transformative power of education, and in doing the right thing by our students, people and local community. That’s why our BNU community is a special place to work and study, and where people who want to make a difference can contribute and succeed.

Our University’s DRIVE values and are at the heart of all that we do. We are united in being dynamic, responsible, inclusive, visionary and empowering to ensure that we provide the best experience to our learners and offer excellent service to our partners and to each other as colleagues. Our commitment to these values is unwavering and they are central to our mission. We encourage applications from all backgrounds, communities and industries and we are happy to discuss any reasonable adjustments that you require.

We are currently looking for a Graduate Teaching Associate in Data Science. You will be situated in the School of Creative and Digital Industries. The purpose of the role is to support teaching and learning through the delivery of modules in conjunction with the Course Leader. Typical duties include tutorial class teaching; personal tutorial support; provision of feedback to students; course work assessment and examination marking.

As a Graduate Teaching Associate you will work toward a fee waived PhD within the school in an area of your choosing. After successful completion of the PhD you will automatically be promoted to Lecturer in the school.

You will have a mix of skills and competencies relevant to some of the following areas:

1. - Data science, statistics, and analysis.
2. - Code, manipulate, engineer, model and analyse data.
3. - Statistics & Math: understanding data, building models, and data prediction.
4. - Programming: utilise programming languages for data manipulation and analysis.
5. - Machine Learning & AI: data processing frameworks
6. - Databases: Data analysis/Mining/Warehousing.
7. - Manipulating data, visualising data, and reporting on data.
8. - Project delivery methods.
9. - Data communication: storytelling, communication, and ethics.

What we offer:

10. a generous holiday entitlement (35 days per annum, plus bank holidays & closure days)
11. Hybrid working (dependant on business needs)
12. training & development support opportunities
13. contributory pension scheme
14. discounted gym membership for our on-site gym
15. a range of staff discounts with major retailers.