• Advance current methods in causal ML such as double ML, honest trees, causal Shapley values, heterogeneous treatment effects, conditional feature attribution methods.
• Research and improve the role of XAI methods in causal ML.
• Seek cooperation with partners in the industry or research institutions.
• Publish in international, peer-reviewed journals and on conferences.
• Teaching load of 2.64 semester hours per week in the field of quantitative methods or statistics or economics or mathematics or business informatics.

• A master's degree at a university or university of applied sciences in statistics, (business) informatics, economics or mathematics
• Demonstrated competencies in machine learning, data science or econometrics
• Strong background in data analysis, quantitative research and statistical reasoning
• High intrinsic motivation and independence, ability to work with other.
• Excellent programming skills in R or python
• Very good communication (in English; German is desirable) and organisational skills

• Work in a growing and dynamic research group: collegial working atmosphere with scope for your own ideas
• A part-time fixed-term employment contract in the public sector and remuneration according to pay group 13 TV-L Berlin universities, social benefits such as company pension (VBL), discounted VBB job ticket
• Flexibility for families: flexible work time models at a family-friendly university and mobile working, provided that the requirements of the job allow it
• Customised education: funded training and further education, i.e. Erasmus
• Systematic start: Structured familiarisation with the job role (onboarding, mentoring and induction)
• Healthy at work: A modern, well-equipped workplace at the Schöneberg campus and numerous health promotion programmes (BGM)

The employment relationship is based on the provisions of the collective agreement for the public service of the Federal States for the universities in the State of Berlin.

HWR Berlin promotes the professional equality of women and men, we are therefore particularly pleased to receive applications from women. Severely disabled applicants with equal qualifications will be given preference. Applications from people with a migration background are expressly encouraged.

We look forward to receiving your detailed application by 12 May 2024 via our online application portal at https://karriere.hwr-berlin.de/c3rgk

For further information, please contact Ms Reitz (030 30877-1451) or Ms Krüger (030 30877-1544) by email at bewerbungsverfahren@hwr-berlin.de.