Fixed-term: The funds for this post are available for 1 year in the first instance.
The Lab of Interdisciplinary Spatial Analysis, Department of Land Economy, University of Cambridge, is seeking a Research Assistant to join Prof. Elisabete A. Silva for the H2020 project Emotional Cities -- Mapping the cities through the senses of those who make them. This is an exceptional opportunity to engage in cutting-edge research at the forefront of spatial data science and machine learning applications on urban topics.
We are seeking to recruit an enthusiastic, well-organised and reliable person. The post-holder will assist in advanced spatial analysis and the applications of machine learning algorithms in modelling, with a focus on urban health and related topics.
- Collaborate with senior research associates to develop and implement methods to address the identified limitations.
- Contribute to the data collection, data pre-processing and analysis.
- Assist in the preparation of research publications and reports.
We are looking for candidates with a BSc./MPhil. degree in urban informatics, spatial data science, urban planning, geographic information systems and science, computer science, or a related discipline. Essential qualifications include experience in programming (e.g., Python, R). Experience with computational data science and working within an interdisciplinary team would be advantages.
Applicants should include a CV and cover letter detailing why they are suitable for the position and their experience, along with contact information for two referees; please ensure that your referees are aware that they may be contacted to request that they upload a reference for you to our Web Recruitment System.
Click the 'Apply' button below to register an account with our recruitment system (if you have not already) and apply online.
Informal enquiries may be directed to Prof. Elisabete A Silva via email@example.com.
Please quote reference JP39522 on your application and in any correspondence about this vacancy.
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