The Management Science and Operations area at London Business School invites applications for a one-year full-time data science research assistant (RA) position. The RA will contribute to research projects under the supervision of Dr. Ali Aouad on applying data analytics to digital platforms in the cultural sector. Previous research in this area includes a collaboration with the Van Gogh Museum, where the research team developed a predictive model of visitor trajectories from multimedia guide data (see working paper here). The idea is to develop a dynamic choice model for cultural experiences (such as a visit to the museum or a session on a streaming platform) and apply it to recommendation systems and algorithmic curation. The RA may support other research projects, including analysing a food purchase dataset in a low-income community. We strongly encourage applications from candidates passionate about data science for social good who wish to pursue a Ph.D. after a pre-doctoral research experience.
Qualifications and details of the post:
Applicants must have completed a BS/MS degree before the appointment in a data science field, which may include computer science, applied mathematics, econometrics, operations research, or a related field. They must demonstrate capabilities for writing code (Python or R), basic knowledge in mathematical modelling, and prior experience using libraries in statistics, machine learning, or operations research.
The position is funded by a research grant. We will offer a competitive salary depending on qualifications and full access to the LBS environment. The RA will benefit from the resources of the MSO community, which includes interactions with faculty and PhD students, mentoring opportunities, access to research seminars, etc.
London Business School is an equal opportunities employer, and as such, we welcome applications from women, black and other ethnic minority candidates who are under-represented in our faculty.
Please apply on Interfolio attaching your CV and transcripts. We strongly recommend providing a reference, and a sample scientific project and/or coding repository.
Candidates are encouraged to apply as soon as possible. We will continue reviewing applicants until the position is filled.Apply here