20 computer-vision-and-machine-learning PhD positions at Erasmus University Rotterdam
Sort by
Refine Your Search
-
. The project will have a strong quantitative component relying on computer science, machine learning, policy evaluation and causal inference. In addition, it will also contain a strong business component, in
-
the Netherlands with both scholars focusing on developing and applying state-of-the-art methodologies from the fields of statistics, economics, and machine learning, as well as scholars focusing on consumer
-
the SCM section will fill a maximum of one PhD positions this year that can be on any of these topics. Machine learning for stochastic last-mile deliveries In recent years, stochasticity has received
-
considered an advantage. Technical Skills Proficiency in MATLAB, Python, and/or R. Experience with data science frameworks (e.g., AI, LLMs). Familiarity with machine learning (e.g., scikit-learn, MVPA, RSA
-
. This PhD position will be integrated into the European Doctorate in Law and Economics (EDLE) Opens external , which is one of the largest doctorate programmes in the field. It is a joint doctoral programme
-
experimental data to test hypotheses or measure phenomena, in online, lab and /or field settings. Identifying the critical assumptions needed to draw inferences from empirical results. Writing computer code to
-
approaches that integrate both qualitative and quantitative research (e.g., combining big data or machine learning with in-depth fieldwork) can also be pursued. Method selection and mastery are viewed as part
-
the expertise of the department. Supervisors can vary per paper that you are working on. For general questions regarding the doctoral program in Innovation Management, please reach out to Kathrin Borner Opens
-
to the doctoral programme at EUR. Employment conditions and benefits What do we offer A fully funded 4 year PhD-position (fulltime), start date between January-March 2026 Gross month salary with a minimum of € 3059
-
doctoral programme is designed to train world-class researchers in Strategic Management and Entrepreneurship, with a strong emphasis on quantitative methods. We combine in-depth knowledge of key topics in