Marketing

Choose start date:

Start date:
September 2025

Duration:
Five to six years

Deadline:
2 December 2024

Fee:
Fully funded

Location:
London, UK

Conduct innovative research

Marketing faculty and PhD students are part of the Department of Analytics & Operations. PhD students have the opportunity to work with renowned faculty whose projects engage a range of different industries as well as qualitative and quantitative researchers from across Imperial.

Faculty members examine a number of key challenges, from the differing notion of brand attachment to managing employee and customer behaviour, from aggregating and understanding diverse information sources in decision-making to the nature of purchase decisions, strategic marketing problems such as long-term effectiveness of digital and non-digital marketing efforts, statistical modelling and testing, modelling cross-market (spatial) dependencies for both Internet and non-Internet data.

You may also be co-supervised by faculty in other departments in the School, depending on your research interests.

Research and partnerships

The Business School is home to several research centres and institutes, offering a diverse range of activities that bring together academics and specialists.

MP Helen Whately being shown around Data Science Institute at Imperial

Imperial Business Analytics

Bringing business-focused academics and data science specialists together for research in how business analytics, data, and artificial intelligence will change business and society.

Gandhi Centre for Inclusive Innovation

Linking innovation and entrepreneurship in companies and institutions globally, through thought leadership, research, technology and next-generation innovation models.

Climate Innovation- Accelerating to Net Zero Emissions

Climate Finance and Investment

Working to unlock solutions within capital markets to address the challenges posed by global climate change.

Discover our research centres

Teaching experience

PhD students on the Graduate Teaching Assistant (GTA) scholarship will undertake 150 hours of teaching assistant duties from year three of the programme. There will be opportunities for PhD students to engage in teaching activities within the Business School’s programmes on our analytics and big data modules on programmes such as MSc Business Analytics and our MBA suite.

Name	Thesis	Supervisor
Vian Sharif	Exploring self-based consumer behaviour approaches to understanding demand reduction for rhino horn and ivory	Professor Andreas Eisingerich and Professor Eleanor Milner-Gulland
Britney Wang	Three Paths to Brand Growth: New Product Introduction, Digital Advertising, and Crowdfunding	Dr Catarina Sismeiro, Dr Gokhan Yildirim and Professor Tommaso Valletti