At a Glance
- Tasks: Teach and research in Statistics or Data Science at a leading university.
- Company: Join a prestigious Russell Group University with a focus on research excellence.
- Benefits: Enjoy family-friendly practices, work-life balance, and opportunities for academic leadership.
- Other info: Collaborate with experts across various fields and access excellent resources.
- Why this job: Make a real impact on students' lives while advancing your research career.
- Qualifications: Proven research record and passion for teaching in a multidisciplinary environment.
The predicted salary is between 55000 - 65000 £ per year.
Are you an academic with a proven ability to carry out teaching and research in Statistics or Data Science? Do you have an excellent research record? Are you passionate about delivering an exceptional student experience in a research-intensive Russell Group University?
We are seeking a talented researcher in Statistics to join the Department of Statistics within our School of Mathematics. This role is part of ongoing investment by the University in the areas of Statistics and Data Science. You will be joining a large Department of Statistics comprising around 27 staff with research interests in Statistics, Data Science, Statistical Bioinformatics, Financial Mathematics and Probability.
We welcome applicants with multidisciplinary interests; the Department has links to many other areas such as the Schools of Medicine, Earth & Environment, Business, Transport Studies and Computing as well as to the Leeds Institute of Data Science and the Alan Turing Institute.
You will have a strong research profile with the ability to collaborate effectively in a multidisciplinary setting, an aspiration to obtain external research funding and a commitment to delivering first-class inspirational teaching and supervision within a research-intensive university.
As a Lecturer, you will carry out research, teaching and associated administration within the School, Faculty and University and contribute to academic leadership in the field of Statistics. For appointments at Associate Professor Level, you must also be able to demonstrate international standing in your field, a track record of successful and substantive grant applications, the capacity to deliver an outstanding student experience and an ability to undertake successful academic leadership.
The School of Mathematics supports the London Mathematical Society Good Practice Scheme. The School also offers a number of family-friendly employment practices that are designed to enable a good work-life balance.
To explore the post further or for any queries you may have, please contact: Dr Stuart Barber, Head of Department, Department of Statistics (email: S.Barber@leeds.ac.uk) OR Professor Kurt Langfeld, Head of School, School of Mathematics (email: K.Langfeld@leeds.ac.uk)
Lecturer (Teaching and Research) or Associate Professor in Statistics in Leeds employer: University of Leeds
As a leading Russell Group University, we pride ourselves on fostering a vibrant academic community that prioritises exceptional teaching and groundbreaking research in Statistics and Data Science. Our collaborative work culture encourages multidisciplinary engagement, providing ample opportunities for professional growth and development, while our commitment to family-friendly practices ensures a supportive environment that promotes a healthy work-life balance. Join us in shaping the future of statistical education and research in a dynamic and inclusive setting.
StudySmarter Expert Advice🤫
We think this is how you could land Lecturer (Teaching and Research) or Associate Professor in Statistics in Leeds
✨Tip Number 1
Network like a pro! Reach out to colleagues, attend conferences, and engage with the academic community. Building connections can lead to opportunities that aren’t advertised.
✨Tip Number 2
Showcase your research! Create a personal website or an online portfolio that highlights your publications, teaching philosophy, and any innovative projects. This gives potential employers a glimpse of your expertise.
✨Tip Number 3
Prepare for interviews by practising common academic questions and scenarios. Think about how you can demonstrate your teaching style and research impact during the conversation.
✨Tip Number 4
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 genuinely interested in joining our team.
We think you need these skills to ace Lecturer (Teaching and Research) or Associate Professor in Statistics in Leeds
Some tips for your application 🫡
Show Off Your Research Skills:Make sure to highlight your research achievements in Statistics or Data Science. We want to see your passion and how you've contributed to the field, so don’t hold back on showcasing your best work!
Tailor Your Teaching Experience:When you’re writing about your teaching experience, be specific! We love to see how you’ve engaged students and delivered exceptional learning experiences. Use examples that reflect your commitment to inspiring the next generation of statisticians.
Collaborate and Connect:Since we value multidisciplinary interests, mention any collaborations you’ve had with other departments or fields. This shows us you can work well in a team and contribute to our diverse academic environment.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the easiest way for us to keep track of your application and ensures you don’t miss out on any important updates from us.
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, including methodologies, findings, and implications. Be prepared to explain how your work aligns with the department's interests and how it can contribute to their ongoing projects.
✨Showcase Your Teaching Philosophy
Be ready to articulate your approach to teaching and how you engage students in a research-intensive environment. Think about specific examples of how you've inspired students or adapted your teaching methods to enhance learning outcomes.
✨Prepare for Multidisciplinary Collaboration
Since the department values collaboration across various fields, think of examples where you've worked with other disciplines. Highlight your ability to communicate complex statistical concepts to non-experts and how you can bridge gaps between different areas of study.
✨Ask Insightful Questions
Prepare thoughtful questions about the department's current research projects, funding opportunities, and student engagement strategies. This shows your genuine interest in the role and helps you assess if the department is the right fit for you.
