At a Glance
- Tasks: Deliver engaging online teaching in Computing, focusing on Cyber Security and AI.
- Company: FutureLearn, a leader in lifelong learning and career empowerment.
- Benefits: Flexible working, professional development, and a supportive community.
- Why this job: Join us to transform lives through education and innovative learning experiences.
- Qualifications: PhD or Master's in Computing, with teaching experience in Cyber Security or AI.
- Other info: Be part of a diverse team committed to inclusivity and student success.
The predicted salary is between 36000 - 60000 Β£ per year.
At FutureLearn, we are passionate about the power of lifelong learning. We help learners from all over the world progress in their careers and invest in their futures. We truly believe that up-skilling is a worthy investment, and we hope to empower our learners to take control of their careers through personalised learning pathways.
We are seeking a knowledgeable and forward-thinking Associate Lecturer in Computing to join our Higher Education Services team. This role focuses on delivering high-quality teaching and learning across designated programmes, with particular expertise in Cyber Security and/or Artificial Intelligence.
The successful candidate will:
- Design and deliver engaging learning materials.
- Facilitate dynamic online learning experiences.
- Support student success and contribute to academic quality and innovation.
- Contribute as a Subject Matter Expert in developing and reviewing module content.
What does success look like:
- Teaching and Learning Delivery: Design, prepare, and deliver high-quality teaching materials across assigned computing programmes. Ensure all content, delivery methods, and learning resources align with programme and module objectives. Apply effective teaching, learning, and assessment strategies in line with institutional standards. Demonstrate strong digital capability and deliver engaging online learning experiences.
- Assessment and Feedback: Set, mark, and provide constructive, timely feedback on assessments in accordance with institutional and partner policies. Supervise student projects and dissertations, providing academic and research guidance in Cyber Security and/or AI. Monitor student progress using learner analytics and implement timely interventions to support achievement.
- Learner Support and Engagement: Identify and respond to individual learner needs, referring students to appropriate support services when necessary. Promote an inclusive, engaging, and supportive online learning environment.
- Quality Assurance and Academic Standards: Contribute to internal quality assurance and enhancement activities. Participate in the planning and review of modules to ensure alignment with institutional frameworks and academic standards. Maintain accurate records of teaching delivery, student engagement, and academic outcomes.
- Professional Participation: Attend and actively contribute to relevant meetings, workshops, and training sessions. Complete all mandatory institutional training within the first three months of appointment.
- Subject Matter Expert Responsibilities (where applicable): Develop new module content in Cyber Security and/or AI in line with academic and institutional standards. Review and update existing module materials as required.
What you bring to the table:
- A PhD, Masterβs degree, or substantial industry experience in a relevant computing discipline.
- Experience teaching and learning within the UK Higher Education sector.
- Proven subject-specific teaching experience in Cyber Security and/or Artificial Intelligence.
- Eligibility for Fellowship of AdvanceHE (or willingness to obtain).
- Strong teamwork, communication, and digital teaching skills.
- A clear commitment to student success and engagement.
Desirable:
- Experience delivering online teaching and learning.
- Experience supervising research projects or dissertations in computing-related fields.
- Relevant industry or professional experience in Cyber Security and/or AI.
Diversity Statement: We value all the great benefits that diversity brings and encourage everyone to bring their whole self to work. At FutureLearn, we are proud to have Diversity and Inclusion at the centre of everything we do. We are committed to Equal Employment Opportunity regardless of race, colour, national origin, ethnicity, gender, age, disability, sexual orientation, gender identity or religion.
Associate Lecturer Computing in London employer: Global University Systems (GUS)
Contact Detail:
Global University Systems (GUS) Recruiting Team
StudySmarter Expert Advice π€«
We think this is how you could land Associate Lecturer Computing in London
β¨Tip Number 1
Network like a pro! Reach out to your connections in the education and tech sectors. Attend events, webinars, or even local meetups. You never know who might have the inside scoop on job openings at FutureLearn or similar organisations.
β¨Tip Number 2
Show off your skills! Create a portfolio showcasing your teaching materials, online courses, or any projects related to Cyber Security and AI. This will give potential employers a taste of what you can bring to the table.
β¨Tip Number 3
Prepare for interviews by researching FutureLearnβs mission and values. Think about how your passion for lifelong learning aligns with their goals. Be ready to share specific examples of how you've engaged students and enhanced their learning experiences.
β¨Tip Number 4
Donβt forget to apply through our website! Itβs the best way to ensure your application gets seen. Plus, it shows youβre genuinely interested in joining the FutureLearn team and contributing to our mission.
We think you need these skills to ace Associate Lecturer Computing in London
Some tips for your application π«‘
Show Your Passion for Lifelong Learning: When you're writing your application, let your enthusiasm for lifelong learning shine through. We want to see how you connect with our mission at FutureLearn and how you can contribute to empowering learners.
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter for the Associate Lecturer role. Highlight your experience in Cyber Security and/or AI, and demonstrate how your teaching methods align with our goals of delivering high-quality online education.
Be Specific About Your Teaching Experience: In your application, be clear about your teaching experience within the UK Higher Education sector. Share examples of how you've engaged students and supported their success, as this is key to what weβre looking for.
Apply Through Our Website: Donβt forget to apply through our website! Itβs the best way for us to receive your application and ensures youβre considered for the role. Plus, it shows youβre keen on joining our team!
How to prepare for a job interview at Global University Systems (GUS)
β¨Know Your Stuff
Make sure you brush up on your knowledge of Cyber Security and Artificial Intelligence. Be ready to discuss recent trends, challenges, and innovations in these fields. This shows your passion for the subject and helps you connect with the interviewers.
β¨Engage with the Learning Experience
Prepare to share examples of how you've designed engaging learning materials or facilitated dynamic online experiences. Think about specific strategies you've used to support student success and how you can apply them at FutureLearn.
β¨Show Your Commitment to Lifelong Learning
Since FutureLearn is all about empowering learners, demonstrate your own commitment to lifelong learning. Share any recent courses, workshops, or professional development activities you've undertaken that relate to teaching or your subject area.
β¨Be Ready to Collaborate
FutureLearn values teamwork, so be prepared to discuss how you've worked effectively with others in an academic setting. Highlight any experiences where you've contributed to quality assurance or module planning, as this will resonate well with their goals.