Tampere University is seeking a Doctoral Researcher to join a project focused on developing advanced machine learning and deep learning methods for financial data analysis. The research topics include deep learning for time series, high-frequency market data, generative models, and trustworthy AI. This position is ideal for candidates with a strong background in computer science, engineering, or data science, and a keen interest in research related to financial markets.

The successful applicant will work under the supervision of Professor Alexandros Iosifidis at Tampere University, Finland. The research will involve designing and implementing novel algorithms for analyzing complex financial datasets, with applications in market prediction, risk assessment, and trustworthy AI systems. The position offers an excellent opportunity to contribute to cutting-edge research at the intersection of machine learning and finance.

Applicants should hold a Master’s degree in a relevant field and possess solid machine learning skills. Experience with deep learning, time series analysis, and financial data is highly desirable. The application deadline is 27 February 2026. For more information and to apply, visit the Tampere University recruitment portal.