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PhD position (m/f/d; E13 TV-L, 65%) in Machine Learning for Education

Cluster of Excellence "Machine Learning"

Application deadline : 30.04.2021

Please send your application until 30.04.2021. The position is limited to three years.

About the project

The aim of this project is to develop machine learning methods that empower human learners. Specifically, your work will involve conceptualizing, implementing, and testing an adaptive learning system, which leverages the latent relational structure of knowledge to provide self-directed learners with an effective curriculum. You will have the opportunity to develop skills in probabilistic modelling, software engineering and cognitive psychology.

Your qualifications

You should have an excellent M.Sc. in a quantitative discipline, an affinity for software engineering, and a good understanding of probabilistic modelling for machine learning. The ideal candidate should be self-motivated, comfortable with both analytic and critical thinking, and have a passion for science. Please indicate in your application if you have prior experience with conducting experiments, computational modeling, and machine learning. Programming (e.g., Python, Julia, Javascript), software engineering (API design, databases, CI/CD), mathematics, communication (in English), and the ability to independently manage a project (of any type) should also be mentioned.

About us

The project is jointly led by Álvaro Tejero-Cantero (ML ⇌ Science Colaboratory) and Charley Wu (Human and Machine Cognition Lab), with co-supervision by Detmar Meurers (Theoretical Computational Linguistics Lab), Kou Murayama (Motivation Science Lab) and Ulf Brefeld (Information systems and Machine Learning). The project is part of a larger initiative at the Cluster of Excellence "Machine Learning in Science" to investigate how machine learning can help modern education. There will be many opportunities to interact with world-class ML experts and other students working on learning analytics, personalization, and machine learning ethics.

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