At a Glance
- Tasks: Deliver innovative research-led teaching and mentor students in mechanical engineering.
- Company: Join a leading School of Mechanical Engineering with a collaborative and inclusive culture.
- Benefits: Engage in high-quality research, enjoy professional development, and contribute to an excellent student experience.
- Other info: Opportunity for international engagement and career growth in a dynamic academic environment.
- Why this job: Make a real impact in the field of computational modelling and AI/ML while shaping future engineers.
- Qualifications: Expertise in computational and numerical modelling with a strong research background.
The predicted salary is between 40000 - 50000 £ per year.
Do you have a track record of high-quality research and a clear vision for developing your profile at an international level? Can you contribute to innovative research-led teaching and support an excellent student experience across undergraduate and postgraduate programmes? Are you committed to working collaboratively, contributing to an inclusive and supportive School community, and engaging in active academic citizenship?
We are seeking a Lecturer who can contribute to the School of Mechanical Engineering's academic mission through research, teaching, and academic citizenship. Candidates should have expertise in computational and numerical modelling, including AI/ML-enabled data-driven approaches, with a focus on surfaces and interfaces.
The School of Mechanical Engineering has over 60 current academic staff and is comprised of 4 research Institutes and delivers a mixture of undergraduate and masters level taught degree programmes and has an active PhD graduate programme. This role offers the opportunity to develop and sustain a high-quality, internationally recognised research programme aligned with the School's strategic priorities, including active engagement in collaborative, interdisciplinary, and externally funded research.
Responsibilities- Deliver research-informed teaching across undergraduate and postgraduate programmes, contributing to curriculum design, innovation and enhancement.
- Play a key role in fostering an inclusive, engaging and high-quality student experience and support the academic and professional development of students and early-career researchers through effective supervision and mentoring.
- Contribute to the effective and collegial operation of the School through administrative and service activities, working collaboratively with colleagues and supporting the University's commitment to excellence, equity, diversity and inclusion.
- Possibly teach or engage academically in support of the School's transnational education activities, including overseas teaching for up to six weeks in an academic year.
- Candidates should have expertise in computational and numerical modelling including AI/ML-enabled data-driven approaches with a focus on surfaces and interfaces.
- Strong track record of high-quality research and a clear vision for developing a profile at an international level.
Lecturer in Computational and Numerical modelling in Leeds employer: University of Leeds
As a Lecturer in Computational and Numerical Modelling at the School of Mechanical Engineering, you will join a vibrant academic community dedicated to innovative research-led teaching and fostering an inclusive environment. With opportunities for professional development, collaboration on interdisciplinary projects, and engagement in international research initiatives, this role offers a rewarding career path in a supportive setting that values excellence, equity, diversity, and inclusion.
StudySmarter Expert Advice🤫
We think this is how you could land Lecturer in Computational and Numerical modelling in Leeds
✨Tip Number 1
Network like a pro! Reach out to colleagues, attend conferences, and engage with professionals in your field. Building connections can lead to opportunities that aren’t advertised.
✨Tip Number 2
Showcase your expertise! Create a portfolio or a personal website highlighting your research, teaching methods, and any innovative projects. This gives potential employers a clear view of what you bring to the table.
✨Tip Number 3
Prepare for interviews by practising common questions and showcasing your passion for teaching and research. Be ready to discuss how your work aligns with the School's mission and values.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets the attention it deserves. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Lecturer in Computational and Numerical modelling in Leeds
Some tips for your application 🫡
Show Off Your Research Skills:Make sure to highlight your track record of high-quality research in computational and numerical modelling. We want to see how you've contributed to the field and your vision for future projects, especially those that align with our focus on AI/ML-enabled approaches.
Engage with Teaching Experience:Don’t forget to mention your teaching experience! We’re looking for someone who can deliver innovative, research-informed teaching. Share examples of how you’ve enhanced student experiences and contributed to curriculum design in your previous roles.
Collaborative Spirit is Key:We value collaboration, so make sure to express your commitment to working with colleagues and contributing to an inclusive School community. Highlight any past experiences where you’ve worked in teams or supported academic citizenship.
Apply Through Our Website:Finally, remember to apply through our website! It’s the best way for us to receive your application and ensure it gets the attention it deserves. We can’t wait to see what you bring to the table!
How to prepare for a job interview at University of Leeds
✨Know Your Research Inside Out
Make sure you can discuss your research in detail, especially how it relates to computational and numerical modelling. Be prepared to explain your methodologies and findings clearly, as well as how they can contribute to the School's strategic priorities.
✨Showcase Your Teaching Philosophy
Be ready to articulate your approach to teaching and how you plan to engage students in both undergraduate and postgraduate programmes. Think about innovative methods you could use to enhance the student experience and support their academic development.
✨Emphasise Collaboration and Inclusivity
Highlight your commitment to working collaboratively within a diverse team. Share examples of how you've fostered an inclusive environment in previous roles, as this aligns with the School's values and mission.
✨Prepare for Interdisciplinary Engagement
Since the role involves collaborative and interdisciplinary research, think of ways you can connect your expertise with other fields. Be ready to discuss potential partnerships or projects that could benefit from your skills in AI/ML-enabled data-driven approaches.
