Lecturer - Computer Science

Study Group; Greater London; On-site; GBP 32,000 - 54,000; Full time

Job summary

Study Group, in partnership with The University of Huddersfield London Campus, is seeking academic staff for on-site teaching roles in London. The role involves designing teaching materials and delivering across modules, with opportunities to supervise student projects and contribute to curriculum development.

Applicants should have a PhD in Computer Science or related discipline, a strong publication record, and Fellowships with Advance HE or plans to achieve it within 12 months.

Qualifications

• Experience teaching undergraduate modules in areas such as Network Fundamentals, Organisation & Architecture, Mathematics, Programming, Data Structures, AI, Operating Systems, Databases & Web Integration.
• Experience teaching postgraduate modules in Autonomic Intelligent Systems, Data Mining, Machine Learning, Semantic Web, Software Development, Web & Network Services.

Responsibilities

• Design teaching material and deliver across modules or subject areas with appropriate assessment methods.
• Design, mark and provide feedback on formative and summative assessments.

Skills

Programming

Data Structures

AI

Operating Systems

Education

PhD in Computer Science or related

Fellowship of Advance HE or equivalent

Job description

Contract type: Full Time (37.5 hours) – Permanent

Location: The University of Huddersfield - London Campus(On-Site)

Salary: up to£54,000 per annum

Study Group attracts a diverse, international student body seeking high-quality teaching, combined with an industry-focussed learning experience and strong employability opportunities within London’s dynamic, professional environment.

The University of Huddersfield London Campus is an exciting new academic institution in the Stratford area of London. Developed and operated in partnership with Study Group, the campus delivers a range of undergraduate and postgraduate programmes on behalf of the University of Huddersfield (UoH).

• We Connect students to feel welcome, included and confident
• We Educate through high-quality, tailored teaching
• We Care about developing confident and resilient learners
• We Prepare learners to succeed

Study Group is the smartest choice for students who want to thrive at university.

In addition to teaching responsibilities, academic staff will actively engage in research, contributing both to scholarly advancement and to the development of a vibrant academic community at the London Campus.

ABOUT THE ROLE

• Design teaching material and deliver across a range of modules or within a subject area using appropriate teaching learning support and assessment methods to ensure student’s progress
• Design, mark and give feedback on appropriate formative and summative assessments, providing opportunities for students to improve
• Within the subject team plan design and develop learning outcomes and materials
• Contribute to the revision and improvements in the curriculum content and delivery
• Supervise student projects, field trips and placements
• Maintain up to date and accurate records of student attendance and progress and complete all associated academic administration
• Act as a personal tutor, offering support or signposting students as required
• Develop an active research record securing appropriate publications or other recognised forms of output and engage in subject professional and/pr pedagogy research and scholarship
• With support coordinate and lead small modules in own subject area to ensure student expectations are met
• Participate in and develop external networks
• Contribute to the internal and external quality assurance process
• Contribute to recruitment activities eg, participating in webinars, taster lectures
• Participate in team meetings departmental and school meetings and committees
• Ensure the implementation of the university’s and Study Group’s policies and regulations within the remit of the postholder’s duties
• Undertake other duties as directed by or in agreement with the Head of School or other Senior Leadership Team members.

ABOUT YOU

• PhD degree (or equivalent) ordoctoral degreein Computer Science orrelevant discipline
• Strong research and publication background, with evidence of contributing to academic 2* journals and above, conferences, or professional publications.
• Fellowship of Advance HE or to be achieved within 12 months of appointment.
• Experience teaching undergraduate modules in at least one of the following (Network Fundamentals, Organisation & Architecture, Mathematics, Programming, Data Structures, AI, Operating Systems, Databases & Web Integration)
• Experience teaching postgraduate modules in at least one of the following (Autonomic Intelligent Systems, Data Mining, Machine Learning, Semantic Web, Software Development, Web & Network Services)

ABOUT US

Study Group is a leading international education provider that is dedicated and passionate about helping students around the world, creating a brighter future and reaching their full potential. With university partnerships and a variety of face-to-face, online, and hybrid study programmes, we can provide students with the resources and guidance they need to succeed. Our global network of offices and university partnerships ensure that students receive the best educational services available. Additionally, our Insendi platform enables us to deliver innovative, accessible, and intuitive digital learning experiences with the most advanced digital tools available.

ORGANISATIONAL COMPLIANCE

Study Group is proud of its high standards in safeguardingand recognisesits importance in enabling the best possible student experience and outcomes. Forsuccessful applicants the following checks will be conducted- Criminal Background Check (country specific), x2 References, ID and Right to Work checks as well as Education Verification.

We are proud to be an equal opportunity employer and we strive to create a diverse and inclusive workplace. We are committed to providing equal opportunities for all individuals, regardless of race, gender, religion, nationality, or any other factor. We believe that the best person for the job should be selected based on skills and experience alone. Your information will be kept confidential and stored securely. Please see ourPrivacy Policy.