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Lecturer in Data Intensive Science

The Department of Physics and Astronomy at UCL aims to appoint a lecturer in data intensive science (DIS), in the newly established Centre for DIS and Industry

  • Closing date: 30 Apr 2021
  • United Kingdom | University College London
  • Date posted: 29 Mar 2021
  • Job type: Academic: faculty
  • Disciplines: Astronomy, cosmology & space science  | Computational science & software engineering 

The Department of Physics and Astronomy at UCL is located in the heart of the historical area of Bloomsbury, in central London, UK. Scientific research and study has been a strong feature of UCL since its inception in 1826. UCL is one of the top-rated universities in the world. The Department of Physics and Astronomy aims to appoint a lecturer in data intensive science (DIS), in the newly established Centre for DIS and Industry. The centre’s vision is to build on UCL’s leadership in this domain and offer innovative opportunities for: cross-disciplinary research in DIS; knowledge-exchange between DIS industry and academia; and world-class training in DIS at all levels of education.

We seek candidates with research experience and interests in data intensive science, with priority the areas of Astrophysics and Particle Physics. The successful candidate will have a strong record of leadership in international, flagship DIS experiments at the forefront of fundamental science, as well as involvement and/or interest in applying novel machine learning and statistical techniques across research domains and in industry. Alternatively, they may have a background in AI via computer science with proven record in collaborative work in the areas of astrophysics and/or particle physics.

They will become a core member of the UCL Centre for DIS and Industry, hosted at the Department of Physics and Astronomy, and will have the unique opportunity to play a leading role in growing the centre and contributing to its long-term success, through: forging cross-disciplinary collaborations within and beyond UCL; enhancing and expanding the links with DIS industry partners; and strengthening the existing, successful training programmes of the STFC-UCL Centre for Doctoral Training in DIS and the MSc in Scientific and Data Intensive Computing.

This is an open ended role.

The successful applicant will have a degree and doctorate in physics, computer science or a closely related discipline. Strong record of leadership in international DIS experiments at the forefront of fundamental science, experience in developing links/collaborations with the DIS Industry, record of cross-disciplinary collaborations in the DIS domain; strong record of publication in leading academic journals, experience of teaching physics at university level, contribution to the general work of a university or scientific facility. Carried out at least one period of successful postdoctoral research in a leading academic, national facility or industrial group or have been awarded an independent research fellowship.

For further details about the vacancy and how to apply online please go to www.ucl.ac.uk/work-at-ucl/ and search reference number 1875215.

Candidates will need to upload a CV (including a list of publications), a statement of research interests and plans (two pages maximum), and the contact information for three references. A cover letter can be included using the “Statement in Support of your Application” section of the online form.

If you have any queries regarding the application process, please contact: Lori Coletti Campbell on l.coletti@ucl.ac.uk.

Informal enquiries regarding the vacancy can be made to Prof. Nikos Konstantinidis, n.konstantinidis@ucl.ac.uk, or Prof. Ofer Lahav, o.lahav@ucl.ac.uk.

Closing date: 30/4/2021.

Latest time for the submission of applications: 23:59.

Interview Date: TBC.

UCL Taking Action for Equality

We will consider applications to work on a part-time, flexible and job share basis wherever possible.

Our department holds an Athena SWAN Silver award, in recognition of our commitment and demonstrable impact in advancing gender equality.

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