University Teacher

University Teacher

Sheffield Full-Time 42000 - 69000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Teach and assess Data Science courses while supporting students' academic journeys.
  • Company: The University of Sheffield is a globally recognised institution committed to diversity and excellence.
  • Benefits: Enjoy 41+ days of annual leave, flexible working, and a generous pension scheme.
  • Why this job: Join a vibrant community dedicated to ethical teaching and impactful research in data science.
  • Qualifications: PhD or relevant experience in Data Science; strong teaching and assessment skills required.
  • Other info: Embrace a culture of inclusivity and personal development with various staff networks.

The predicted salary is between 42000 - 69000 £ per year.

Join to apply for the University Teacher role at The University of Sheffield

Join to apply for the University Teacher role at The University of Sheffield

The University of Sheffield provided pay range

This range is provided by The University of Sheffield. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

The University of Sheffield is a remarkable place to work. Our people are at the heart of everything we do. Their diverse backgrounds, abilities and beliefs make Sheffield a world-class university.

We offer a fantastic range of benefits including a highly competitive annual leave entitlement (with the ability to purchase more), a generous pensions scheme, flexible working opportunities, a commitment to your development and wellbeing, a wide range of retail discounts, and much more. Find out more about our benefits (opens in a new window) and join us to become part of something special.

Overview

As University Teacher you will play a key role in contributing to, and maintaining, the School’s portfolio of research led, high quality, teaching. You will be expected to provide lectures and workshops to campus-based students, and to produce and mark assessments on core and optional modules across our Data Science UG and PGT programmes such as:

Responsible Data Science lab; Data Science foundations and contexts; Introduction to Data Science; Becoming a Data Translator; Digital Media and Society; Data, Ethics and Leadership

You will also carry out supervision of UG and Masters dissertation projects.

As a School we are committed to embedding FATES (fairness, accountability, transparency, ethics, safety and security) principles into data science teaching and research.

Main Duties And Responsibilities

  • Design, deliver, assess, and evaluate campus based Data Science programmes. This will include identifying learning objectives, selecting appropriate curricula and teaching methods.
  • Prepare and implement student assessments, which will include designing assessment criteria, marking and ensuring adequate moderation.
  • Undertake academic tutor/pastoral responsibilities for undergraduate and postgraduate students.
  • Carry out module and course evaluation, including facilitating student feedback; reflecting on own teaching design and delivery; and implementing ideas for improving own performance.
  • Conduct personal scholarship; identifying literature and updating own knowledge; assessing the validity of the literature and its contribution to the development of own field as well as developments in practice in your area of expertise.
  • Contribute to the operations of the School, the Faculty and the wider University community through administrative responsibilities and committee memberships as and when appropriate.
  • Ensure digital accessibility of teaching materials by ensuring that content, activities and all their components are accessible to all, in order to remove barriers to learning.
  • As a member of staff you will be encouraged to make ethical decisions in your role, embedding the University’s Sustainability strategy into your working activities wherever possible.
  • Carry out other duties, commensurate with the grade and remit of the post

Person Specification

Our diverse community of staff and students recognises the unique abilities, backgrounds, and beliefs of all. We foster a culture where everyone feels they belong and is respected. Even if your past experience doesn\’t match perfectly with this role\’s criteria, your contribution is valuable, and we encourage you to apply. Please ensure that you reference the application criteria in the application statement when you apply.

Criteria

Essential Or Desirable

Stage(s) assessed at

Industry related experience and expertise in a relevant field, or a PhD in a relevant subject area (or working towards a PhD).

Essential

Application

Ability to design and deliver high quality, research led teaching programmes to ensure effective learning. Ability to design and deliver high quality, innovative assessment, to assess students and provide effective feedback.

Essential

Application/interview

A commitment to embedding FATES (fairness, accountability, transparency, ethics, safety and security) principles into data science teaching and research.

Essential

Application/interview

Experience of critically reviewing and assessing existing teaching programmes and own teaching practice with evidence of positive change / impact.

Desirable

Application/interview

Experience of supervising undergraduate and postgraduate students.

Desirable

Application/interview

Experience of pastoral and academic support.

Desirable

Application/interview

An ability to lead teaching and to collaborate effectively with others.

Essential

Application/interview

Knowledge and experience of technologies to support learning and teaching.

Essential

Application/interview

Ability to organise resources, plan and progress work activities. Ability to analyse and solve problems with an appreciation of longer term implications.

Essential

Application/interview

A demonstrable commitment to promoting and embedding equality, diversity and inclusion principles and practices.

Essential

Application/interview

Further Information

Grade

8

Salary

£48,149- £57,422 per annum.

Work arrangement

Full-time

Duration

01/09/2025 – 30/09/2026

Line manager

TBC

Direct reports

None

Our website

https://sheffield.ac.uk/ijc

For informal enquiries about this job contact Leo Appleton, School Director of Education: on l.appleton@sheffield.ac.uk or on 0114 222 2633

Next steps in the recruitment process

It is anticipated that the selection process will take place in early September. This will consist of an interview. We plan to let candidates know if they have progressed to the selection stage within a week of the closing date. If you need any support, equipment or adjustments to enable you to participate in any element of the recruitment process you can contact e.g.heath@sheffield.ac.uk.

Our vision and strategic plan

We are the University of Sheffield. This is our vision: sheffield.ac.uk/vision (opens in new window).

What We Offer

  • A minimum of 41 days annual leave including bank holiday and closure days (pro rata) with the ability to purchase more.
  • Flexible working opportunities, including hybrid working for some roles.
  • Generous pension scheme.
  • A wide range of discounts and rewards on shopping, eating out and travel.
  • A variety of staff networks, providing opportunities for social interaction, peer support and personal development (for example, Race Equality, LGBT+, Women’s and Parent’s networks).
  • Recognition Awards to reward staff who go above and beyond in their role.
  • A commitment to your development access to learning and mentoring schemes; integrated with our Academic Career Pathways.
  • A range of generous family-friendly policies
  • paid time off for parenting and caring emergencies
  • support for those going through the menopause
  • paid time off and support for fertility treatment
  • and more

More details can be found on our benefits page: sheffield.ac.uk/jobs/benefits (opens in a new window).

We are a Disability Confident Employer. If you have a disability and meet the essential criteria for this job you will be invited to take part in the next stage of the selection process.

Possession of a criminal record is not an automatic bar to employment at the University of Sheffield. We recognise the value of steady employment in the rehabilitation process and examine each case in its own right. More information can be found on our Information for candidates page:- sheffield.ac.uk/jobs/candidates (opens in a new window).

We are a research university with a global reputation for excellence. Our ideas and expertise change the world for the better, making a real difference to society. We know that when people come together with different views, approaches and insights it can lead to richer, more creative and innovative teaching and research and the highest levels of student experience. Our University Vision (www.sheffield.ac.uk/vision) outlines our commitment to building a diverse community of staff and students that recognises and values the abilities, backgrounds, beliefs and ways of living for everyone.

Seniority level

  • Seniority level

    Entry level

Employment type

  • Employment type

    Full-time

Job function

  • Job function

    Education and Training

  • Industries

    Higher Education

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University Teacher employer: The University of Sheffield

The University of Sheffield is an exceptional employer, offering a vibrant work culture that prioritises diversity, inclusion, and employee wellbeing. With generous benefits such as competitive annual leave, flexible working arrangements, and a strong commitment to professional development, staff are empowered to thrive both personally and professionally in a supportive academic environment. Join us in shaping the future of education and research while enjoying the unique advantages of working in a world-class university located in the heart of Sheffield.
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Contact Detail:

The University of Sheffield Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land University Teacher

✨Tip Number 1

Familiarise yourself with the University of Sheffield's commitment to FATES principles. Understanding how fairness, accountability, transparency, ethics, safety, and security are integrated into their teaching will help you align your application with their values.

✨Tip Number 2

Engage with current faculty members or alumni from the University of Sheffield. Networking can provide insights into the teaching culture and expectations, which can be invaluable during interviews.

✨Tip Number 3

Prepare to discuss your experience in designing and delivering innovative teaching programmes. Be ready to share specific examples of how you've assessed student learning and provided constructive feedback.

✨Tip Number 4

Showcase your commitment to diversity and inclusion in your teaching approach. Think about how you can contribute to creating an inclusive environment for all students, as this is a key aspect of the role.

We think you need these skills to ace University Teacher

Expertise in Data Science
PhD or relevant industry experience
Curriculum Design
Assessment Design and Evaluation
Student Supervision
Pastoral Care
Collaboration and Teamwork
Knowledge of Educational Technologies
Organisational Skills
Problem-Solving Skills
Commitment to Equality, Diversity and Inclusion
Ability to Reflect on Teaching Practice
Effective Communication Skills
Understanding of FATES Principles

Some tips for your application 🫡

Understand the Role: Read through the job description carefully to understand the key responsibilities and requirements for the University Teacher position. Tailor your application to highlight how your experience aligns with these expectations.

Highlight Relevant Experience: In your application, emphasise any industry-related experience or expertise you have in data science or teaching. If you have a PhD or are working towards one, make sure to mention it prominently.

Demonstrate Teaching Skills: Provide specific examples of your ability to design and deliver high-quality, research-led teaching programmes. Discuss any innovative assessment methods you've used and how they benefited student learning.

Commitment to Inclusivity: Showcase your commitment to embedding principles of fairness, accountability, transparency, ethics, safety, and security in your teaching. This is essential for the role and should be reflected in your application statement.

How to prepare for a job interview at The University of Sheffield

✨Showcase Your Teaching Philosophy

Be prepared to discuss your approach to teaching and how you plan to engage students in Data Science. Highlight any innovative methods you've used in the past and how they align with the university's commitment to high-quality, research-led teaching.

✨Demonstrate Knowledge of FATES Principles

Since the role emphasises fairness, accountability, transparency, ethics, safety, and security, be ready to provide examples of how you've integrated these principles into your teaching or research. This will show your alignment with the university's values.

✨Prepare for Assessment Design Questions

Expect questions about how you would design assessments for various modules. Think about how you can create fair and effective evaluation methods that provide meaningful feedback to students, and be ready to discuss your rationale.

✨Engage with the University’s Vision

Familiarise yourself with the University of Sheffield's vision and strategic plan. Be prepared to discuss how your teaching and research can contribute to their goals, particularly in fostering a diverse and inclusive community.

University Teacher
The University of Sheffield
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