At a Glance
- Tasks: Shape the future of Data Science education through innovative teaching and collaboration.
- Company: Join the University of Leeds, a leader in data-driven research and education.
- Benefits: Flexible working arrangements, hybrid options, and a vibrant academic community.
- Other info: Engage in multidisciplinary projects and connect with diverse partners.
- Why this job: Make a real impact on students' lives and lead them into the future of data science.
- Qualifications: Experience in mathematical data science and a passion for teaching.
The predicted salary is between 40000 - 50000 £ per year.
Are you passionate about impactful, collaborative, and data-driven applications of Mathematics? Do you have relevant experience in this interdisciplinary field at the intersection of mathematical data science, software engineering, science communication, design, business analytics, digital humanities, and social sciences? Do you want to help shape the education of a new generation of Data Science students that can operate in strategic, challenge-driven contexts and become the leaders of the future?
We are seeking a new permanent member of academic staff to join our growing Data Science team. Our programme portfolio in Data Science currently encompasses a very established MSc in Data Science & Analytics, as well as a new online MSc in Data Science and a new BSc in Data Science. You will support the delivery of this innovative new BSc programme and will add to the interdisciplinary strength of the School of Mathematics, making connections with neighbouring disciplines within the data science ecosystem.
The School has very active Departments in Applied Mathematics, Pure Mathematics, Statistics and Mathematics Education, with a range of interdisciplinary applications such as in mathematical biology, data analytics of multiple omics data, optimisation for flood mitigation, industrial applications, and applied non-linear dynamics. Data Science activities occur across the University such as in health & medicine, sustainability, technology, biodiversity (such as the Global Biosphere Sensing Network), digital humanities, and urban data science; in institutes such as the Leeds Institute for Data Analytics (LIDA), the Priestley Centre for Climate Futures, and the Institute for Transport Studies; as well as in collaboration with global partners such as the Leeds Africa Hub for Data Science & Artificial Intelligence.
You will enjoy working in multidisciplinary contexts, connecting communities, and collaborating with diverse partners in order to create authentic learning opportunities and assessments for students. Your practices will be informed by industry and academia as well as the dual aspects of technical and behavioural sciences that underpin data science. You will bring and embrace innovative and evidence-informed approaches to teaching and learning that will deliver inclusive, active, and digitally enhanced experiences to all our students.
As a Teaching & Scholarship Lecturer, your work will take place in the context of the University’s transformative change programme Curriculum Redefined, and support innovation in teaching, learning & assessment practice, learning design, and the Scholarship of Teaching & Learning (SoTL). In joining the University of Leeds, you will become part of an internationally focused University that provides all our students with an outstanding education and experience, and at the same time undertakes cutting-edge research of high quality, impact, and significance.
This role will be based at the University of Leeds campus and there is scope for it to be undertaken in a hybrid manner. We are open to discussing flexible working arrangements.
To explore the post further or for any queries you may have, please contact:
- Dr Pierre-Philippe Dechant, Programme Director BSc Data Science
- Email: P.P.Dechant@leeds.ac.uk
- OR
- Dr Philip Walker, Director of Student Education
- Email: P.Walker@leeds.ac.uk
Lecturer in Mathematical Data Science (Teaching and Scholarship) in Leeds employer: University of Leeds
The University of Leeds is an exceptional employer, offering a vibrant and inclusive work culture that fosters collaboration and innovation in the field of Mathematical Data Science. With a strong commitment to employee growth, you will have access to professional development opportunities and the chance to engage in impactful research while shaping the education of future leaders in data science. Located on a dynamic campus, the university supports flexible working arrangements, ensuring a healthy work-life balance for all staff.
StudySmarter Expert Advice🤫
We think this is how you could land Lecturer in Mathematical Data Science (Teaching and Scholarship) in Leeds
✨Tip Number 1
Network like a pro! Reach out to current lecturers or staff in the Data Science department at Leeds. A friendly chat can give you insider info and show your genuine interest in the role.
✨Tip Number 2
Prepare for the interview by brushing up on your teaching methods and how they align with innovative practices. Think about how you can create engaging learning experiences that resonate with students.
✨Tip Number 3
Showcase your interdisciplinary experience! Be ready to discuss how your background in mathematical data science connects with other fields, and how that can enhance the curriculum at Leeds.
✨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 follow the process closely.
We think you need these skills to ace Lecturer in Mathematical Data Science (Teaching and Scholarship) in Leeds
Some tips for your application 🫡
Show Your Passion:Let us see your enthusiasm for mathematical data science! Share your experiences and how they connect with our mission to shape the future of Data Science education. A genuine passion can really make your application stand out.
Tailor Your Application:Make sure to customise your CV and cover letter to highlight relevant experience in interdisciplinary fields. We want to know how your background aligns with our innovative programmes and collaborative spirit!
Be Clear and Concise:Keep your writing clear and to the point. Use straightforward language to explain your ideas and experiences. We appreciate well-structured applications that are easy to read and understand.
Apply Through Our Website:Don’t forget to submit your application through our official website! It’s the best way to ensure we receive all your materials correctly and can review them promptly. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at University of Leeds
✨Know Your Data Science Stuff
Make sure you brush up on the latest trends and applications in mathematical data science. Be ready to discuss how your experience aligns with the interdisciplinary nature of the role, especially in areas like software engineering and business analytics.
✨Showcase Your Teaching Philosophy
Prepare to talk about your innovative approaches to teaching and learning. Think about how you can create engaging, inclusive, and digitally enhanced experiences for students, and be ready to share examples from your past experiences.
✨Connect with the Community
Demonstrate your enthusiasm for collaboration by discussing any previous partnerships or projects you've been involved in. Highlight how you can connect with diverse partners and contribute to authentic learning opportunities within the data science ecosystem.
✨Ask Insightful Questions
Prepare thoughtful questions that show your interest in the university's transformative change programme and the Curriculum Redefined initiative. This will not only demonstrate your engagement but also help you understand how you can contribute to their goals.
