Doctoral Researcher / Väitöskirjatutkija (Deep Learning for High-Frequency Financial Data Modeling)

Tiivistelmä työpaikkailmoituksesta: The position is a full-time four-year fixed-term Doctoral Researcher role at Tampere University’s Hervanta Campus in Finland, with a planned start date of 1 December 2026. The researcher will design, implement and propose new deep learning and generative models for high-frequency financial data, publish high-level scientific papers, and may perform minor teaching duties (5–10%). Applicants must have a completed Master’s degree in a relevant field, strong machine learning and deep learning knowledge (ideally with generative AI and financial data experience), excellent English, and the ability to conduct systematic research. The salary follows the Finnish University Salary System with a typical starting range of approximately 2,770–2,900 EUR per month, and the application deadline is 5 October 2026. Tämä tiivistelmä on luotu tekoälyn avulla. Tampere University and Tampere University of Applied Sciences create a unique environment for multidisciplinary, inspirational and high-impact research and education. Our university community has its competitive edges in technology, health and society. www.tuni.fi/en . We are looking for a Doctoral Researcher to work on deep learning methodologies for high-frequency financial data modeling. The selected applicant will be member of the Computational Intelligence group led by Professor Alexandros Iosifidis , and closely collaborate with the Financial Data Science group led by Professor Juho Kanniainen , at the Unit of Computing Sciences of Tampere University. The position is full-time and will be filled as soon as possible for a fixed-term period of four years. The workplace is located at Hervanta Campus of Tampere University, Finland. JOB DESCRIPTION The Doctoral Researcher will conduct research on designing, implementing, and proposing new Machine/Deep Learning methods and models for Financial Markets. Topics of interest include generative models for financial data synthesis and/or forecasting, trustworthy financial data predictions, world models for financial markets, system-II predictive models, and multi-model multi-asset routing mechanisms for financial predictions . The project combines real-world financial data analysis with hands-on design and development of Machine Learning models that push the state-of-the-art, with room to shape the direction of research based on the researcher’s interests. Writing high-level scientific publications is an essential part of the research. In addition to the research towards the doctoral dissertation, the duties of the researcher may include some teaching tasks (5-10%) or other small faculty tasks that support the studies. REQUIREMENTS 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. The selected person will need to apply for and be granted a study right for a doctoral degree in the doctoral programme of Computing and Electrical Engineering at Tampere University. Please visit the admission web page of the doctoral programme of Computing and Electrical Engineering for more information on eligibility requirements of the doctoral programme. Please note that if you have not completed a university degree in Finland, an official English language certificate will also be required for the admission to the doctoral programme. The accepted English language certificates and their minimum requirements, as well as exemptions regarding the certificates, are available here . WE OFFER The full-time position will be filled for a fixed-term period of four years. The planned starting date is December 1st, 2026 or as mutually agreed by both parties.A trial period of six (6) months applies to all our new employees. The salary will be based on both the job requirements and the employee’s personal performance in accordance with the Finnish University Salary System . According to the criteria applied to teaching and research staff, the position of a Doctoral Researcher is placed on level 2-4 of the job requirements scale. A typical starting salary for a Doctoral Researcher is approximately 2770-2900 EUR/mon