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.

Application Instructions:

Please apply on Interfolio attaching your CV and transcripts. We strongly recommend providing a reference, and a sample scientific project and/or coding repository.

For questions about the 2 application process, please contact Zainab Mehr zmehr@london.edu and Ali Aouad aaouad@london.edu.

Candidates are encouraged to apply as soon as possible. We will continue reviewing applicants until the position is filled.

The Management Science and Operations area at London Business School invites applications for a fully funded postdoctoral research position starting from the academic year 2023/2024. The postdoctoral fellow will conduct research under the supervision of Dr. Ali Aouad at the interface of operations research, algorithms, and market design. Working closely with relevant academic/industry collaborators, the postdoctoral research fellow will contribute to projects in relation to the following topics:

(1) Analysis of matching systems under uncertainty: This theme includes the study and theoretical analysis of matching & pricing algorithms and resource allocation mechanisms in stochastic environments, considering issues such as data-driven (or prediction-based) formulations, and repeated user/resource interactions.

(2) Design of dynamic assortment systems: The objective is to develop models and methodologies for sequential assortment optimization, including content or product recommendations, considering issues such as dynamic preferences, engagement maximization, and repeated user/resource interactions.

Qualifications and details of the post:

Applicants must have completed a PhD before the appointment in operations research/management, computer science, applied mathematics, econometrics, or a related field. They must demonstrate strong capabilities for conducting original theoretical or applied research using tools from algorithm design, stochastic modelling, market design, or machine learning.

The position is funded by a research grant. The term is one or two years, extensible subject to continued satisfactory performance. We will offer a competitive salary and full access to the LBS environment. The postdoctoral fellow is expected to contribute and benefit from the resources of the MSO community, which includes interactions with faculty and PhD students, mentoring opportunities, organisation of reading groups, and training sessions.

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.

Application Instructions: Please apply on Interfolio attaching your CV, three references, a research statement (up to 3 pages), and a sample research paper. For questions about the application process, please contact Zainab Mehr (zmehr@london.edu) and Ali Aouad (aaouad@london.edu).

Candidates are encouraged to apply as soon as possible. We will continue reviewing applicants until the position is filled.