PhD Placement

Department: School of Physical and Chemical Sciences
Salary: £28,773 per annum (pro-rata) (Grade 2)
Reference: 1632
Location: Mile End
Date posted: 14 March 2024
Closing date: 15 April 2024

Further details and apply

About the Role

This is a paid placement working with TfL on data-science related projects. The role is intended to provide experience and training for PhD students working in data intensive science areas in Physics and Chemisty in a commercial setting – working with data science teams at TfL. The main duties will entail working together with the data science teams at TfL, gathering requirements, implementing and testing code, analysing and interpreting data, drawing conclusions, and documenting and communicating results and associated digital assets.

About You

The successful candidate will have relevant experience in coding in a scientific or related context to solve specific problems. They will have experience in problem solving in technical settings. The successful candidate will also be highly numerate and familiar with basic statistical analysis techniques. They will also have strong communication skills for both oral presentations and written work and have the ability to work both independently and as part of a team.

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 including an on-site nursery at the Mile End campus.

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.

To apply for the role, please attach a short cover letter outlining your experience and interest in the post.

Further details and apply