Research Associate in Transportation Engineering and Data Science

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Please note that job descriptions are not exhaustive, and you may be asked to take on additional duties that align with the key responsibilities mentioned above.
We reserve the right to close the advert prior to the closing date stated should we receive a high volume of applications. It is therefore advisable that you submit your application as early as possible to avoid disappointment.
If you encounter any technical issues while applying online, please don't hesitate to email us at support.jobs@imperial.ac.uk. We're here to help., Applications are invited for a post-doctoral research position in transportation engineering and data science based in the Centre for Transport Engineering and Modelling at Imperial College London and working as part of the Transport Strategy Centre. The objective of the research post is to develop and apply data science methods to benchmark, evaluate and forecast the performance of aviation systems. A particular aspect of performance that the research will focus on is the transition to net-zero aviation and the evaluation of associated interventions via causal inference.

Good communication skills, The research will involve manipulation and analysis of large and high-dimensional datasets as well as theoretical modelling work and causal inference. The Research Associate must be self-motivated, be able to produce high quality original research, and have experience in preparing papers for journal publication and conference submission. They will be expected to submit publications to refereed journals and to attract external research funding.

This is a full-time (35-hours per week) fixed-term contract for 12 months.