Publisher
source

Erasmus University Rotterdam

Just Landed

Fully Funded PhD in Information Systems and Artificial Intelligence at Erasmus University Rotterdam Erasmus University Rotterdam in Netherlands

Degree Level

PhD

Field of study

Computer Science

Funding

This is a fully funded and salaried PhD position. Accepted candidates become employees of Erasmus University Rotterdam and receive a salary of €3,204–€4,051 for a 1.0 FTE appointment, with salary and benefits governed by the Collective Labour Agreement for Dutch Universities.

Deadline

Jan 15, 2027

Country flag

Country

Netherlands

University

Erasmus University Rotterdam

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Keywords

Computer Science
Information Technology
Artificial Intelligence
Cybersecurity
Business
Management
Business Analytics
Economics
Statistics
Digital Platform
Responsible Ai
Information Systems
Large Language Models

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About this position

Erasmus University Rotterdam is offering a fully funded and salaried PhD opportunity in Information Systems and Artificial Intelligence through the Rotterdam School of Management’s Business & Information Management section.

The research explores how digital technologies reshape individuals, organizations, markets, and public policy. Potential areas include artificial intelligence, generative and agentic AI, digital platforms and ecosystems, business analytics, information strategy, energy digitalisation, data markets, cybersecurity, social networks, online privacy, responsible AI, AI governance, large language models, digital marketing, recommendations, user-generated content, AI in education, and human-computer interaction. Candidates will develop a research question in collaboration with faculty and produce three papers intended for leading information systems and management journals.

Applicants should hold a strong academic record and a relevant degree in information systems, business, economics, computer science, econometrics, statistics, or a related field. Robust quantitative skills, research experience, programming ability, and experience with R, SAS, Stata, or Python are expected. The programme particularly welcomes candidates who are motivated to pursue an academic career and publish high-quality scientific research.

Training includes information systems, economics, econometrics, causal inference, statistics, Bayesian modelling, machine learning, deep learning, and large-scale data analytics. Students benefit from research seminars, industry connections, institutional databases, software-development support, and the Erasmus Behavioural Lab.

The position is a 1.0 FTE employee appointment with a salary of €3,204–€4,051 and benefits under the Dutch university collective labour agreement. The application deadline is 15 January 2027. Applicants should review the ERIM full-time PhD programme requirements and apply through the university’s vacancy portal.

Funding details

This is a fully funded and salaried PhD position. Accepted candidates become employees of Erasmus University Rotterdam and receive a salary of €3,204–€4,051 for a 1.0 FTE appointment, with salary and benefits governed by the Collective Labour Agreement for Dutch Universities.

What's required

Applicants should have a strong academic record, a degree in information systems, a business-school field such as strategic management, marketing, or operations, or an adjacent field such as economics, computer science, econometrics, or statistics. Candidates should demonstrate robust quantitative skills, enthusiasm for data and programming, proven experience completing research projects, and experience developing and estimating econometric or statistical models using R, SAS, Stata, or Python. Experience writing and publishing scientific papers, intellectual curiosity, openness to learning, independence, motivation to formulate and conduct original research, and ambition for an academic career are expected.

How to apply

Review the ERIM full-time PhD programme requirements and submit the required application documents through the applicant portal before 15 January 2027. For questions about the application and selection procedure, consult the Admissions information or email [email protected].

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