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Lecturer Mathematical Data Science QMUL

Mar 17, 2021

The School of Mathematical Sciences at Queen Mary University of London invites applications for a Lecturer, Senior Lecturer or Reader in Mathematical Data Science.
The closing date for applications is 15 April 2021.

The university is seeking to appoint up to an outstanding candidate with a successful track record of applying rigorous research methods to address emerging problems in the general field of data science. Areas of focus include but are not limited to statistics, applied and computational topology, foundations of data driven approaches to complex systems or finance, machine learning, optimisation, inverse problems and uncertainty quantification. Interdisciplinary research areas are also welcome. The successful candidate will be expected to develop a research platform and interact with one or more of the existing research groups in the School, as well contribute to the further development of the School’s portfolio of Data Science master level programmes. All candidates are requested to address these aspects in their research and teaching statements.

All candidates should have a strong interest in pursuing excellence in teaching and supervising graduate students.

At Lecturer level a successful applicant will have demonstrated exceptional potential for achieving research excellence.  At Senior Lecturer level applicants should have an excellent research profile and a strong track record of independent research as evidenced, for example, by successful PhD supervision, substantial external research funding, and/or a sustained publication record of well cited papers. At Reader level, all these will be essential requirements and candidates will be expected to have an internationally recognised research presence.

Applicants whose work has had a significant impact outside of the university environment are particularly encouraged to apply.

Please find here full information and how to apply:
https://webapps2.is.qmul.ac.uk/jobs/job.action?jobID=5450&fbclid=IwAR10J...