This post is full time and permanent, working 35 hours per week.
The School of Computer Science and Engineering is seeking to recruit a committed, adaptable and enthusiastic individuals to join our experienced team of academic staff as a Senior Lecturer in Data Science and Analytics.
You must be sufficiently proficient in major programming languages in particular Python and R and have a good understanding of software development principles, data science pipelines, and cloud-based technologies and be able to adapt to teaching from level 3 to level 7.
Most of the teaching duties for the post will be in the area of Big Data Science and Analytics at undergraduate and postgraduate level though this may vary.
Candidates must have a high level of skills across data science pipelines from data collection, cleaning, and processing to building and deploying models, including machine learning/AI or/and advanced analytics (simulation, optimisation, forecasting, etc.).
They should have an interest in applications to real world problems in business and industry, and the public sector.
We particularly welcome applications from candidates with a PhD in Data Science, Computer Science, Physics, Mathematics, and Operational Research, or with the equivalent experience gained in industry.
Candidates would be expected to have considerable experience and demonstrated innovation in HE teaching, academic leadership, academic team management, (for example, course leadership), and in curriculum development.
Candidates would also be expected to have experience of enabling and facilitating external industrial relationships, research grant applications, and/or knowledge exchange.
Duties will include teaching face-to-face and online, setting assessment, marking, and giving feedback, supervision of final year and post-graduate projects, and acting as a personal tutor to provide pastoral support to students.
As part of the role, you will be expected to support students for competitions, work based learning and other opportunities for enterprise.
Furthermore, you will also be expected to contribute to School strategic subject based, professional or pedagogic research and development, and other scholarly activities in order to support your teaching.
Staff are also encouraged to develop their external research profile and the appointee to this post will be expected to contribute to one or more of the School’s multidisciplinary research groups.
To apply for this vacancy please click above. Further information can be found in the job description and person specification, which can be accessed through link below.
At the University of Westminster, diversity, inclusion and equality of opportunity are at the core of how we engage with students, colleagues, applicants, visitors and all our stakeholders.
We are fully committed to enabling a supportive and safe learning and working environment which is equitable, diverse and inclusive, is based on mutual respect and trust, and in which harassment and discrimination are neither tolerated nor acceptable.
The University has adopted Smart Working principles to support and further our Equality, Diversity and Inclusion aims of being an inclusive, collaborative and flexible employer. Further details of Smart Working can be discussed at interview stage.
Closing date: midnight on: 10 April 2023
Interviews are likely to be held on date to be confirmed