Senior Lecturer Data Science

University of Bristol; Greater London; On-site; GBP 40,000 - 70,000; Full time

Job summary

A prestigious university in Greater London is seeking to appoint a Lecturer, Senior Lecturer, or Associate Professor in Data Science. The successful candidate will conduct high-quality research, contribute to MSc programmes, and engage in academic administration. The role requires a proven research track record and experience in teaching data science topics, alongside potential for securing research funding. Collaborating with interdisciplinary teams and demonstrating leadership skills will also be essential for this appointment.

Qualifications

• Experience teaching a range of data science topics.
• Strong research track-record in data-intensive research.
• Experience in commercial application of data science is a plus.

Responsibilities

• Produce high-quality research outputs in data science.
• Contribute to teaching in MSc Data Science and related programmes.
• Undertake academic administration and leadership roles.

Skills

Teamwork

Teaching data science

Research funding engagement

Leadership skills

Education

PhD or equivalent in Data Science or related field

Job description

The role

The University of Bristol is seeking to appoint a Lecturer, Senior Lecturer, or Associate Professor in Data Science. You will join an existing group of 20+ academic colleagues engaged in data science research and in teaching on our family of four data science MSc degrees, alongside another 100 academic colleagues within our School of Engineering Maths and Technology. The University was crowned “AI University of the Year” at the 2024 National AI Awards, and is home to the new £220M National AI supercomputer Isambard.AI. You will contribute to our teaching in data science and should complement our interdisciplinary research culture in one of the four broad domains: data science for psychiatry and mental health-care; data-intensive computational neuroscience; data-intensive bioinformatics; and / or data science for economics / finance. You will join a vibrant and intensive research environment within the University, which was ranked fifth for research in the 2021 UK Research Excellence Framework. Fractional appointments (e.g. 50% of full‑time) will be considered for exceptional candidates.

What will you be doing?

You will be expected to produce high-quality research outputs individually, and / or with postgraduate students, and / or with academic colleagues in Bristol and / or at other universities in the UK and beyond. You should have a demonstrable potential to secure research funding, including through engagement with industry and other external partners. You will be expected to contribute to the effective running of the School by undertaking academic administration and leadership roles as specified by your line manager, and to take an active role in providing high quality and innovative teaching and assessment by contributing to one or more of our degree programmes in MSc Data Science, MSc Financial Technology with Data Science, MSc Economics with Data Science, and / or MSc Business with Data Science. You should also be an engaged personal tutor and / or project‑supervisor to our taught students.

You should apply if

You should be comfortable working in teams. You should have experience of teaching a range of topics in data science, or demonstrate a clear commitment to doing so. You’ll have a strong research track‑record in data‑intensive research: either in core data science R&D, or in the application of data science tools and techniques to one or more challenging research areas. Experience of developing and applying data science in commercial contexts (industry / business) is particularly welcome. You will be expected to provide input to the overall strategic vision and ambition for the School. You should be willing to develop and / or demonstrate leadership skills, allowing you to effectively work collaboratively with groups of internal and external partners; and be able to act as a role model to our students and to other staff.