Ihre Aufgaben
Starting July 2024 (or later), and for a duration of 3 years (possibility to extend), Professor Markus Loecher at HWR Berlin is looking for a PhD candidate interested in the intersection of causal ML and explainable AI!
(pay grade 13 TV-L Berlin, with 66% of the regular weekly working hours)
Your tasks:
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Advance current methods in causal ML such as double ML, honest trees, causal Shapley values, heterogeneous treatment effects, conditional feature attribution methods.
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Research and improve the role of XAI methods in causal ML.
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Seek cooperation with partners in the industry or research institutions.
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Publish in international, peer-reviewed journals and on conferences.
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Teaching load of 2.64 semester hours per week in the field of quantitative methods or statistics or economics or mathematics or business informatics.
Ihr Profil
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A master's degree at a university or university of applied sciences in statistics, (business) informatics, economics or mathematics;
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Demonstrated competencies in machine learning, data science or econometrics.
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Strong background in data analysis, quantitative research and statistical reasoning.
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High intrinsic motivation and independence, ability to work with others.
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Excellent programming skills in R or python.
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Very good communication and organisational skills (in English; German is desirable)
Kontakt
If interested, please contact me at markus.loecher@hwr-berlin.de