Lecturer in Artificial Intelligence

Sheffield Hallam University; Sheffield; On-site; GBP 42,000 - 62,000; Full time

Job summary

Sheffield Hallam University invites applications for an outstanding academic to contribute to Artificial Intelligence teaching and research within the School of Computing and Digital Technologies.

The role involves developing engaging teaching materials, delivering to undergraduate and postgraduate classes (face to face and distance learning where appropriate), supervising projects, and contributing to course management, student wellbeing and related research activities.

Qualifications

• Human-AI collaboration and Explainable AI capabilities.
• Experience with AI tools and environments for real-world solutions.
• Postgraduate teaching qualification or commitment to achieve one.

Responsibilities

• Develop engaging teaching and assessment material for undergraduate and postgraduate classes, face-to-face or distance learning.
• Supervise undergraduate and postgraduate projects.
• Contribute to course management, student wellbeing and satisfaction, and research activities.
• Set assessments, mark work, and provide timely feedback.
• Publish high-quality outputs and undertake knowledge transfer projects.

Skills

Human-AI collaboration

Explainable AI

Decision intelligence

Agentic AI

Education

Honours degree (UK 2:1 or 1st)

Postgraduate qualification/experience

Postgraduate teaching qualification (PG Cert/HEA Fellowship)

Job description

We are seeking an outstanding individual to make a strong academic contribution within the area of Artificial Intelligence (AI), with prior experience in teaching in an HEI or research institute, or with recent industrial experience in this area.

We would be happy to accept applications from those with experience in any or several of the following:

• Development and integration of AI solutions in the real world.

In all cases, applicants must have thorough development experience with contemporary AI tools and environments, not just theoretical knowledge. It is expected applicants are able to develop AI-based solutions to typical computing-, business- or management-centric problems, explain the development process and how these solutions work to both undergraduate and postgraduate students.

You will join a large and vibrant School of Computing and Digital Technologies that is engaged in both teaching and research.

Your main duties and responsibilities will be drawn from:

• Developing engaging teaching and assessment material in the area, and delivering to undergraduate and postgraduate classes, face to face, and possibly through distance learning.
• Supervising undergraduate and postgraduate projects.
• Contributing to enhancing and improving the course management, student wellbeing and satisfaction, the teaching syllabus and related research activities.
• Setting assessments, marking student work, and reporting on students’ progress, as well as providing timely feedback.
• Contributing to School research activities by publishing high-quality outputs in an appropriate specialist area, applying for funding, and undertaking knowledge transfer projects.

Good honours degree (i.e. UK 2.1 or 1st Class), or equivalent professional qualification or experience in a relevant discipline.

Postgraduate qualification and/or equivalent professional qualification or experience in a relevant discipline.

Postgraduate teaching qualification, such as PG Cert or HEA Fellowship, or a commitment to achieve one.

Essential requirements

• Human-AI collaboration
• Explainable AI
• Decision intelligence
• Agentic AI

Experience of contributing to professional or academic projects, for example RIKE/ industry or creative projects, and/or scholarship.

Experience of working within relevant regulatory, academic or professional frameworks, including applying appropriate standards, policies and procedures.

Evidence of sustained and reflective professional development, with engagement in practice or scholarship and an emerging contribution to academic or professional activity.

Experience of engaging with external partners and networks to support academic or professional development, RIKE and/or wider student opportunities.

Ability to design and deliver innovative, high-quality, inclusive and engaging learning experiences across a range of teaching mediums, informed by current practice and using evidence, feedback and data to enhance student engagement and outcomes.

Ability to inspire, challenge and support diverse student groups and colleagues, applying inclusive, equitable and evidence-informed approaches that contribute to student engagement and success.

Excellent team working skills, with the ability to build effective working relationships with colleagues, students and external partners.

Ability to support and, where appropriate, supervise the work of others, providing guidance and supporting performance and development.

Excellent written and verbal communication skills with the ability to convey complex concepts clearly to a range of audiences.

Excellent planning and organisational skills, with the ability to manage competing demands and plan, organise and coordinate defined academic activities, ensuring deadlines are met.

Proficient in the use of IT systems; awareness and capability to learn and use new technologies, digital tools/platform