Research Associate

Technische Universität Berlin

Faculty II - Mathematics and Natural Sciences, Institute of Mathematics / Chair of Stochastic Analysis

Research Associate

part-time employment may be possible

Your responsibility

Research at the Institute of Mathematics within the joint DFG project "Numerically Efficient Learning of Generative Models and Beyond" in the research groups of Prof. Dr. Benjamin Gess and Prof. Dr. Gabriele Steidl. No teaching duties.

The project addresses mathematical questions in the field of artificial intelligence. Responsibilities include in particular:

• Research on the mathematical foundations, stability, efficiency, and numerical realization of generative models
• Research in one or more of the following areas:

Efficient diffusion models and geometry-informed modeling

Transformer models

Scientific Machine Learning

Nesterov and Anderson acceleration as well as Newton methods in machine learning

The research will be conducted in cooperation with Tsinghua University, Beijing (Ch. Bao), and Wuhan University (Y. Jiao).

Your profile

• Successfully completed university degree (Master, Diplom or equivalent) and a completed PhD by the time of appointment in mathematics or a closely related field
• excellent knowledge of the mathematics of machine learning, especially generative models; demonstrated by publication in leading journals of the field
• excellent programming skills, particularly in Python
• excellent written and spoken English
• knowledge of stochastic analysis desirable
• knowledge of optimization methods and their mathematical analysis desirable
• experience with numerical methods in machine learning desirable

The subject-specific knowledge can be demonstrated in particular by relevant coursework, theses, research projects and/or publications. Relevant scientific publications are required.

For further information about the position, please contact Anastasiia Olshevska .