University Assistant (Postdoc)

**Job Description**
This position is for a University Assistant (Postdoc) at the Department of Statistics and Operations Research, working within Prof. Christa Cuchiero’s research group. The role focuses on the intersection of Mathematical Finance, Stochastic Analysis, and Machine Learning, exploring challenging topics such as infinite dimensional stochastic analysis, affine and polynomial processes, rough paths, signature methods, neural S(P)DEs, McKean-Vlaslov equations, stochastic portfolio theory, control theory, and contemporary stochastic volatility modeling. Responsibilities include active participation in research projects, publishing results in academic articles, presenting at international conferences, teaching Bachelor and Master level courses, supervising students, and organizing academic events.

**Skills & Abilities**
• Excellent background in stochastic analysis, probability theory, statistics, and mathematical finance
• Open mind for applications
• Excellent command of written and spoken English
• Programming skills (e.g., Python, R)
• Ability to work in teams and high social/communicative skills
• Strong interest in planning, carrying out, and presenting independent research
• High commitment and initiative

**Qualifications**
Required Degree(s) in:
• Mathematics (Master)
• Related area to Mathematical Finance, Stochastic Analysis, and Machine Learning (PhD)

**Experience**
Other:
• Completed Master in Mathematics
• Completed PhD in an area related to the themes described

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