Lecturer in Data Science (Teaching & Scholarship)
QM London
Queen Mary University of London
Queen Mary University of London is an established university in London's vibrant East End committed to high-quality teaching and research; offering both undergraduate and postgraduate degrees.3727
Faculty Science & Engineering Location QM London Contract Type Permanent Working Patterns Full TimeFull Time Equivalent (FTE)
2.00
About the Role
The School of Physical and Chemical Sciences (SPCS) is seeking to appoint a new Lecturer in Data Science who will join Queen Mary School Hainan (QMSH), QMUL’s latest transnational education partnership in PR China.
This post will be on a Teaching and Scholarship contract and the postholder will be expected to develop and deliver teaching, engage in pedagogical work and contribute to the administration of QMSH. This post is based in London and the postholder will be required to travel to China to deliver block teaching, as allocated by the Executive Vice Dean o QMSH.
About You
You should have a PhD in Physics, Maths, Electronic Engineering, Computer Science or related fields. Having excellent subject knowledge and teaching experience, you should be able to design, develop and deliver high-quality teaching and assessment in programming for data science, machine learning and complex networks.
You should also have clear and ambitious plans for pedagogical activities that aim at achieving excellence in student experience and education, both in and beyond the classroom, and have the ambition to influence the education landscape and create world-wide impact with your pedagogical work.
How to apply
Please complete the application form and include a single attachment, which details the following, in this order:
- An education statement (1/2 page) which summarises the most relevant elements of your teaching experience.
- A statement (1 page) outlining educational activities to date and future plans.
- A focused CV in which your career history is clearly laid out.
Candidates are requested not to submit certificates and references with applications.
About the School/Department/Institute/Project
The School of Physical and Chemical Sciences consists of the Department of Physics and Astronomy and the Department of Chemistry. It is one of five schools in the Faculty of Science and Engineering. The School is an exciting and dynamic environment, home to over 530 undergraduate students, 70 postgraduate taught students, and 130 teaching and research staff. Our research is highly collaborative, working with colleagues across all three faculties and supported by partnerships with industry, NHS and other stakeholders.
About Queen Mary
At Queen Mary University of London, we believe that a diversity of ideas helps us achieve the previously unthinkable.
Throughout our history, we’ve fostered social justice and improved lives through academic excellence. And we continue to live and breathe this spirit today, not because it’s simply ‘the right thing to do’ but for what it helps us achieve and the intellectual brilliance it delivers.
We continue to embrace diversity of thought and opinion in everything we do, in the belief that when views collide, disciplines interact, and perspectives intersect, truly original thought takes form.
Benefits
We offer competitive salaries, access to a generous pension scheme, 30 days’ leave per annum (pro-rata for part-time/fixed-term), a season ticket loan scheme and access to a comprehensive range of personal and professional development opportunities. In addition, we offer a range of work life balance and family friendly, inclusive employment policies, flexible working arrangements, and campus facilities.
Queen Mary’s commitment to our diverse and inclusive community is embedded in our appointments processes. Reasonable adjustments will be made at each stage of the recruitment process for any candidate with a disability. We are open to considering applications from candidates wishing to work flexibly.
13/11/2024, 23:55
Tags: Chemistry Computer Science Engineering Machine Learning PhD Physics Research Teaching
Perks/benefits: Career development Competitive pay Flex hours
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