PhD Position in Machine Learning

University Tubingen


PhD position (m/f/d; E13 TV-L, 65%)

Cluster of Excellence "Machine Learning"

Bewerbungsfrist : 01.06.2021

The Cluster of Excellence "Machine Learning" is offering a

PhD position in machine learning for education (m/f/d; E13 TV-L, 65%)

Please send your application until 01.06.2021. 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.

About Tübingen

Tübingen is a scenic university town on the Neckar river in South-Western Germany. The quality of life is exceptionally high and the atmosphere is diverse, inclusive, and most locals speak English. Tübingen offers excellent research opportunities due to the University, four Max Planck institutes, the University Hospital, and Europe’s largest AI research consortium. You can find out more about Tübingen and our work environment here.


We believe that diversity in age, abilities, sexuality, gender identity, ethnicity, perspectives and ideas makes not just for a richer life, but also for a better team outcome. And we know that people do their best work when they feel like they belong — included, valued, and equal. We strive for an environment where everyone brings their full selves to work knowing that they’ll be supported to succeed. We hope you’ll join us.

To apply, send in a single pdf file <lastname>.pdf  with a cover letter detailing how your expertise and experiences fit with the project (with clear descriptions of your specific skills), your CV, the names and email addresses of 2-3 people who we can contact for reference, and unofficial copies of your University degrees. Please link to or enclose some code you have written. For support with the application contact Elena (elena.sizanaspam For questions about the job, write to Álvaro and Charley (alvaro.tejerospam / charley.wuspam

The university seeks to raise the number of women in research and teaching and therefore urges qualified women academics to apply for these positions. Equally qualified applicants with disabilities will be given preference. The employment will be carried out by the central administration of the University of Tübingen.

E 13 TV-L
According to the general pay scale of German universities, the salary will be “E 13 TV-L” at 65% occupation rate. There are 30 vacation days. Depending on your experience after the MSc, the University administration will place you in a certain level. Salary calculator, with gross and net.

In your application, please refer to


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