About this role
Contract type: Part-time (22.5 hours) - Permanent
The University of Sheffield International College and its programmes are provided by Study Group in collaboration with the University of Sheffield. The Academic Tutor (Psychology -Research Methods/ Cognitive Psychology) will deliver high-quality education within the Science team. The successful candidate will primarily be responsible for teaching the International Year 1 Psychological Research Methods module alongside teaching Cognitive Psychology. ABOUT THE ROLE
Deliver Academic Provision: Teach groups of international students at RQF Level 4 with an average class size of 18–20 students. Module Delivery & Support: Effectively deliver the Psychological Research Methods and Cognitive Psychology modules, working in seminar classes, collaborating with fellow module teaching staff. Assessment & Feedback: Undertake formative and summative marking and provide constructive feedback on a variety of student assessments. Module Coordination: Act as Module Coordinator where required; this may include leading a small teaching team, performing quality assurance checks on marking, and updating module materials. Quality Assurance: Engage fully with the college’s quality assurance procedures, moderation, and standardisation processes. Continuous Improvement: Identify and implement module enhancement needs and opportunities to optimise student outcomes. Team Collaboration: Work actively as part of a busy, multidisciplinary team, contributing to meetings and communicating effectively with colleagues.
ABOUT YOU Required:
A PhD or Master’s degree in Psychology, or a closely related scientific discipline. Experience teaching Research Methods for Psychology or other areas of Psychology (or equivalent experience) within UK Higher Education, Further Education, Sixth Form or equivalent. Experience of assessment marking and writing at RQF Level 3 - 4.
Desirable:
A recognised teaching qualification (e.g., PGCE, HEA Fellowship). Demonstrable experience or capability to provide cross-disciplinary teaching support for Statistics Experience of coordinating academic modules or equivalent academic leadership. Experience working with international students.
Please apply via the ‘Apply’ button above.
