At a Glance
- Tasks: Lead research and teaching in AI-augmented software engineering at a top university.
- Company: Join the University of Manchester, a hub for innovation and diversity.
- Benefits: Enjoy 29 days annual leave, generous pension, and flexible working options.
- Other info: Be part of a vibrant community that values diverse perspectives and ideas.
- Why this job: Shape the future of computer science while inspiring the next generation of tech leaders.
- Qualifications: PhD in Computer Science and a passion for teaching and research.
The predicted salary is between 33865 - 41391 £ per year.
We are seeking a motivated and collaborative individual to join our team as a Lecturer/Senior Lecturer in AI-Augmented Software Engineering. This role offers an exciting opportunity to provide academic leadership for research and teaching in this emerging area within the Department of Computer Science.
You will be responsible for:
- Undertaking and directing original research of the highest standard in Computer Science.
- Developing national and international research collaborations.
- Actively contributing to and enhancing the teaching programmes of the Department of Computer Science at both undergraduate and postgraduate levels.
- Contributing to the management and administration of the Department’s activities and the broader objectives of the Department.
We welcome candidates who bring diverse perspectives, experiences, and approaches to their work.
About You
We encourage applications from individuals with a wide range of backgrounds and experiences. You should demonstrate:
Essential Criteria
- A PhD or equivalent (including industrial) experience in any area of Computer Science.
- A record of high-quality publications in the best Computer Science outlets.
- Experience of planning and developing teaching materials.
- Demonstrated ability to supervise postgraduate students successfully.
- Demonstrated ability to enthusiastically teach aspects of undergraduate and taught postgraduate programmes in Computer Science and to develop innovative teaching.
Desirable Criteria
- Demonstrable success in research funding applications.
- Experience in teaching and assessing undergraduate or post-graduate students.
- Experience in supervising postgraduate research students to completion.
Our benefits include:
- Generous employer contribution pension.
- 29 days annual leave plus bank holidays, along with Christmas closure.
- Ride to work and EV car scheme available.
We are an open place of enquiry and challenge. We embrace and celebrate difference, diversity and debate, and we pride ourselves on being a place of education, learning and community where we are able, within the law, to question and test received wisdom, express new ideas and explore controversial or unpopular topics and opinions.
Lecturer or Senior Lecturer in AI-augmented Software Engineering in Manchester employer: The University of Manchester
The University of Manchester is an exceptional employer, offering a dynamic work culture that prioritises innovation and collaboration. With a strong commitment to employee growth, you will have access to comprehensive benefits including leading pension schemes and health services, all while contributing to the strategic direction of a prestigious institution in a vibrant city known for its rich cultural heritage and academic excellence.
Contact Details:
The University of Manchester Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Lecturer or Senior Lecturer in AI-augmented Software Engineering in Manchester
✨Join Local Tech Meetups
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✨Contribute to Open Source Projects
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We think you need these skills to ace Lecturer or Senior Lecturer in AI-augmented Software Engineering in Manchester
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 The University of Manchester.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at The University of Manchester 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 The University of Manchester
✨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 The University of Manchester 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.
