Assistant Professor of Machine Learning

Are you an enthusiastic scientist and teacher with a broad knowledge of machine learning? Then you have a part to play as an Assistant Professor. Use your research to contribute to tackling real-life problems involving challenging learning tasks and/or data types and inspire the next generation of data scientists with your teaching. All while working in a friendly, dynamic work environment which offers ample room for both team science and individual initiative.

As an Assistant Professor of Machine Learning you will study, develop and apply machine learning techniques in order to tackle real-life problems involving challenging learning tasks and/or types of data. Examples of challenging tasks include the development of novel methods to infer causal relationships from observational data, or to predict the effect of medical interventions. You will have the opportunity to develop an independent line of research and to attract external research funding.

You will be expected to supervise a number of PhD candidates, two of which will represent a start-up package provided by the university, and to teach courses in the Bachelor’s phase as well as courses related to your research expertise in the Data Science Master’s specialisation. You will also actively contribute to the supervision of Bachelor's and Master's projects and be involved in organisational tasks within the ELLIS unit.