[Jobs] (Funded) Postdoc and PhD positions in robust and society-aware ML in Germany
Isabel Valera
The Probabilistic Machine Learning Group at Saarland University (Germany) is seeking for several PhD students (funded initially for 3 years) and postdoctoral researchers (funded initially for 2 years) to work on (probabilistic) machine learning and its societal impact.
- About us -
We develop cutting-edge trustworthy machine learning methods to be deployed in the real-world. Our research can be broadly categorized in three main topics: fair, interpretable and robust machine learning. We are an active and diverse research team, with interests in a wide range of ML approaches including deep learning, probabilistic modeling, causal inference, time series analysis, and many more. Our research has a strong societal component and can be applied in a broad range of application domains, from medicine and psychiatry to social and communication systems. Examples of ongoing research projects can be found here.
- Requirements -
PhD applicants should have a MSc (or in exceptional cases, a BSc) degree in CS, math or a related field, and demonstrate a strong background in machine learning, math/statistics and programming (ideally in Python using PyTorch).
Postdoctoral applicants should have or be about to complete a PhD in computer science or a related field and have demonstrated excellent research skills through a strong publication record in top ML venues, such as NeurIPS, ICML, ICLR, AISTATS, JMLR, etc.
All applicants should demonstrate sufficient spoken and written communications skills in English.
- How to Apply -
To apply follow the instructions in our website (and/or via the ELLIS PhD Program, deadline November 15).
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Isabel Valera
Full Professor at the Department of Computer Science of Saarland University, Saarbrücken (Germany)
Adjunct Faculty at Max Planck Institute for Software Systems, Saarbrücken
https://machinelearning.uni-saarland.de/