Doctoral Researcher in Deep Learning for Financial Markets

TUNI; Tampere; Hybrid; EUR 31,000 - 32,000; Full time

Benefits offered by this job

Health care

Flexible schedule

Research facilities

Campus environment

Sports & culture budget

Job summary

Tampere University invites applications for a Doctoral Researcher to develop deep learning methods for high-frequency financial data. You will join the Computational Intelligence group led by Prof.

Alexandros Iosifidis and collaborate with the Financial Data Science group at the Unit of Computing Sciences. The position is full-time for four years, with a starting date around December 1, 2026, a six-month trial period, and a salary aligned with the Finnish University Salary System.

Qualifications

• A completed master's degree in computer science, computer engineering, or another related field.
• Strong knowledge of Machine Learning theory and methods, and related Deep Learning approaches, with emphasis on fundamental concepts and techniques.
• Ability to conduct systematic scientific research related to the design of Deep Learning methods and models.
• A curious mind and solid skills in critical thinking and problem solving.
• Knowledge and experience of Generative AI focusing on the methodologies and their applications in different types of data.
• Knowledge of financial data analysis, especially Limit Order Book data, is considered an advantage.
• Excellent communication skills in English, and ability to collaborate in multidisciplinary teams.
• Ability to write research papers in high-quality peer-reviewed journals or conferences in the field of Machine Learning and/or Finance.
• You need to have completed a relevant Master’s degree before the starting date of employment.

Responsibilities

• Research on designing, implementing, and proposing new Machine/Deep Learning methods and models for Financial Markets.
• Writing high-level scientific publications is an essential part of the research.
• Duties may include teaching tasks (5-10%) or other small faculty tasks that support the studies.

Education

Master's degree

Tools

Python

Job description

Tampere University invites applications for a Doctoral Researcher to develop deep learning methods for high-frequency financial data. You will join the Computational Intelligence group led by Prof.

Alexandros Iosifidis and collaborate with the Financial Data Science group at the Unit of Computing Sciences. The position is full-time for four years, with a starting date around December 1, 2026, a six-month trial period, and a salary aligned with the Finnish University Salary System.