Lecturer, Mathematical Data Science - Hybrid

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 e.g. 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:

OR

Dr Philip Walker, Director of Student Education

Email: