At a Glance
- Tasks: Lead modules in Software Systems, AI, and Data Engineering while designing innovative curricula.
- Company: Join UCL's top-ranked Computer Science Department, renowned for research excellence.
- Benefits: Enjoy 41 days of holiday, a pension scheme, and on-site facilities like a gym and nursery.
- Other info: Be part of a diverse community committed to equality and innovation.
- Why this job: Shape the future of AI and software engineering while mentoring students and collaborating with industry.
- Qualifications: Experience in teaching and expertise in software systems or AI required.
The predicted salary is between 53000 - 60500 £ per year.
UCL's Department of Computer Science (CS) is a top-ranked Computer Science Department in the UK. In the 2021 Research Excellence Framework (REF) evaluation, UCL Computer Science was ranked second in the UK for research power and first in England.
The Department of Computer Science is looking to appoint a Lecturer (teaching) in Software Systems, Artificial Intelligence and Data Engineering, to enable the growth of our software systems engineering and artificial intelligence and data engineering curricula. This is a full-time permanent post at Grade 8. The appointees will be based in the Software Systems Engineering (SSE) group within the Department of Computer Science at UCL.
Main purpose of the job
The recruited faculty member will be mainly responsible to act as module lead for modules offered by the MSc in Software Systems Engineering and the MSc in Artificial Intelligence and Data Engineering, which are specialised MSc programmes run by the SSE group at UCL Computer Science. The recruited faculty member will be asked to design new modules as well as contribute to existing ones towards the growth of our curricula on the adoption of Software Engineering principles for realising effective and responsible Artificial Intelligence Systems, as well as on the adoption of Artificial Intelligence for agentic-based software and data engineering. There will be significant opportunities for the recruited faculty member to show thought leadership in these areas, to supervise excellent BSc, MSc and PhD students and work with several industrial partners through the UCL IXN programme. Additionally, they may be asked to teach lectures and tutorials across other related modules in collaboration with other tutors as well as contribute to administration activities within the Department of Computer Science, as agreed with their line manager.
What we offer
- 41 Days holiday (27 days annual leave, 8 bank holidays and 6 closure days)
- Additional 5 days' annual leave purchase scheme
- Defined benefit career average revalued earnings pension scheme (CARE)
- Cycle to work scheme and season ticket loan
- Immigration loan
- Relocation scheme for certain posts
- On-Site nursery
- On-site gym
- Enhanced maternity, paternity and adoption pay
- Employee assistance programme: Staff Support Service
- Discounted medical insurance
Our commitment to Equality, Diversity and Inclusion
As London's Global University, we know diversity fosters creativity and innovation, and we want our community to represent the diversity of the world's talent. We are committed to equality of opportunity, to being fair and inclusive, and to being a place where we all belong. We therefore particularly encourage applications from candidates who are likely to be underrepresented in UCL's workforce. These include people from Black, Asian and ethnic minority backgrounds; disabled people; LGBTQI+ people; and for our Grade 9 and 10 roles, women. Our department holds an Athena SWAN Gold award, in recognition of our long-term commitment and 'beacon' status in advancing gender equality.
Lecturer (Teaching) in Software Systems, Artificial Intelligence and Data Engineering employer: UCL
UCL's Department of Computer Science is an exceptional employer, offering a vibrant work culture that prioritises innovation and collaboration. With a strong commitment to employee growth, the department provides extensive professional development opportunities, including the chance to lead cutting-edge modules in Software Systems and Artificial Intelligence. Located in London, UCL fosters a diverse and inclusive environment, ensuring that all staff feel valued and supported while enjoying generous benefits such as 41 days of holiday and access to on-site facilities.
StudySmarter Expert Advice🤫
We think this is how you could land Lecturer (Teaching) in Software Systems, Artificial Intelligence and Data Engineering
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at UCL or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to UCL.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like UCL.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like UCL that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Lecturer (Teaching) in Software Systems, Artificial Intelligence and Data Engineering
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at UCL.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at UCL and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at UCL
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If UCL uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
