Chancellor’s Fellowship in the Mathematics Data Science or Industrial Mathematics

Chancellor’s Fellow in the Mathematics of Data Science or Industrial Mathematics
School of Mathematics, University of Edinburgh
Closing date 25th April 2016

The School of Mathematics at the University of Edinburgh is seeking highly talented academics who will contribute to our continued achievement of excellence in research.

Candidates will have an existing track record of high-quality research in the area of mathematical sciences. For data science this will primarily be in statistics, mathematics or operational research. The School of Mathematics is a partner in the Alan Turing Institute, a major UK initiative that will drive research and investment in the discipline. The successful candidate will be expected to have significant involvement with the Institute. For industrial mathematics there will be additional established links and experience of successful collaborative work in an industrial or business environment with a strong desire for furthering this engagement.

This tenure-track Fellowship is held for 5 years. Subject to satisfactory review at the end of year 3, the Fellow will then move to a standard University academic open-ended contract. It is anticipated that most appointees will be successful in obtaining an open-ended contract. The first year of the Fellowship will focus on establishing the Fellow’s research programme, with a limited amount of teaching and other duties. Start-up research funds will be available and the Fellow will be mentored towards gaining external competitive grant support.

Chancellor’s Fellows will show evidence of independent research at the forefront of their field. Successful applicants will normally be appointed as Lecturer (Grade UE08) having completed their PhD and acquired equivalent relevant postdoctoral experience. Exceptionally, an appointment at Reader (Grade UE09) may be made for someone with extensive experience of research leadership.

Further details relating to the posts, including how to apply, can be found at http://www.maths.ed.ac.ukschool-of-mathematicsjobschancellor-s-fellow-in-the-mathematics-of-data-sci and http://www.maths.ed.ac.ukschool-of-mathematicsjobschancellor-s-fellow-in-industrial-mathematics
Informal enquiries may be made to Professor Iain Gordon (Head of School),
e-mail hosmaths@ed.ac.uk

Lectureship in the Mathematics of Data Science

School of Mathematics, University of Edinburgh

Closing date 9th May 2016

Applications are invited for a Lectureship in the Mathematics of Data Science. The University of Edinburgh and the School of Mathematics are partners in a consortium that leads the UK’s Alan Turing Institute, a major initiative that drives research and investment in Data Science in the UK. We seek an outstanding candidate with either an existing track record of high-quality research in Data Science, or strong evidence of high research potential. Candidates from any relevant subject area of Statistics, Mathematics or Operational Research will be considered. Applicants should note that during the first two years of appointment the successful candidate will be required to spend the equivalent of one year at the Alan Turing Institute’s British Library Hub in London. This could comprise a single block of time or smaller blocks (for example 3 to 6 month periods).

The post holder will contribute to the teaching of undergraduate and postgraduate courses.

Further information, and details of how to apply, can be found at

http://www.maths.ed.ac.ukschool-of-mathematicsjobslectureship-in-the-mathematics-of-data-science

The closing date for applications is 5pm GMT on Monday 9th May 2016 and the post is available at a mutually agreed date from 1 August 2016.

Informal enquiries can be made by contacting Professor Iain Gordon (Head of School), email hosmaths@ed.ac.uk

The University of Edinburgh promotes equality and diversity. We strive for a family-friendly School of Mathematics. Please see http://www.maths.ed.ac.ukschool-of-mathematicsstudying-herepgr. The School holds a Bronze Athena SWAN award and is a supporter of the London Mathematical Society Good Practice Scheme.