• research in the areas of stochastic modeling and statistical inference, in particular stochastic processes, uncertainty quantification and machine learning; scientific analysis and development of research software; collaboration in third-party funded research projects of the chair, as well as data analysis with applications in economics, the natural sciences and medicine (60 %)
• teaching in the field of statistics and data science, including assistance with examinations and supervision of seminar papers and theses (25 %)
• project management, organization of events and workshops (possibly in cooperation with other institutions involved in the project) as well as participation in academic self-administration (15 %)

• salary according to Remuneration level 13 TV-L
• befristet (3 years) (§ 2 (1) sentence 1 of the WissZeitVG; in accordance with the provisions of the WissZeitVG and the Agreement on Satisfactory Conditions of Employment, the length of contract may differ in individual cases)
• Vollzeit

• internal and external training opportunities
• variety of health, consulting and prevention services
• reconcilability of family and work
• flexible working hours
• good transport connection
• supplementary company pension
• collegial working environment
• open and pleasant working atmosphere
• exciting, varied tasks
• modern work environment with digital processes 
• various offers (canteen, cafeteria, restaurants, Uni-Shop, ATM, etc.)

• completed scientific university degree (Master's degree or equivalent) in the field of statistics, data science, mathematics or related subjects
• doctorate or advanced doctoral project (expected completion of the doctorate within 6 months) in the field of statistics, data science, mathematics or related subjects
• very good knowledge and research experience in the field of statistics or stochastic modeling with relevant publications, including at least a good knowledge of statistics; interest in research topics of the Chair of Data Science
• good knowledge in the development of research software (especially in the programming languages R or Python)
• experience in teaching statistics
• very good command of written and spoken English
• interest in interdisciplinary cooperation
• independent working style and organizational skills
• ability to work in a team

• experience in interdisciplinary cooperation
• experience in presenting research results at scientific meetings
• experience in the scientific guidance of students and doctoral candidates
• experience in project management or organization of scientific events
• experience in publishing research software
• engagement in good scientific practice
• good knowledge of German
• international experience in higher education

We are looking forward to receiving your application. To apply, please preferably use our online form via the application button below.
Complete application documents should include: motivation letter with detailed explanation of how the necessary and desirable qualifications, knowledge and skills are met; curriculum vitae; degrees and transcripts; the contact details of two references (letters of reference also welcome).