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

• 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.

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/month. The salary increases based on experience and the progress of doctoral studies.  

We are inviting you to be a part of a vibrant, active and truly international research community. Our Data Science Research Centre is formed by experts actively contributing to different aspects of Artificial Intelligence, especially in Fundamental and Applied Machine Learning. Moreover, both Professor Alexandros Iosifidis and Professor Juho Kanniainen are Associated Faculty of the newly established ELLIS Institute Finland which is a world-class research hub in AI and machine learning. 

We value interdisciplinarity, as it allows new perspectives and ideas to solve research problems and pursue novel research findings in human-centered interactive technologies. We are strongly committed to the highest level of scientific research and the provision of high-quality doctoral education. 

As a member of staff at Tampere University, you will enjoy a range of competitive benefits, such as occupational health care services, flexible work schedule, versatile research infrastructure, modern teaching facilities and a safe and inviting campus area as well as a personal fund to spend on sports and cultural activities in your free time. Please read more about working at Tampere University. You can also find more information about us and working and living Tampere by watching our video: Tampere Higher Education Community - our academic playground.  

Tampere is one of the major academic hubs in the Nordic countries and offers a dynamic living environment. Tampere region is one of Finland´s three most rapidly growing urban areas and home to a vibrant knowledge-intensive entrepreneurial community. The city is an industrial powerhouse that enjoys a rich cultural scene and a reputation as a centre of Finland’s information society. 

Read more about Finland and Tampere: 

• Visit Finland
• This is Finland
• Ministry of Economic Affairs and Employment: Welcome to Finland
• Visit Tampere

HOW TO APPLY

Please submit your application through our online recruitment system. The closing date for applications is Monday, October 5th, 2026 (23:59:00 EEST / UTC +3). Please write your application and all the accompanying documentation in English and attach them in PDF format.

Please attach only the following documents to your application: 

• Curriculum vitae.
• Free-form application letter including 1) a brief statement of how you meet the criteria for this position, and 2) description of your research interests in the scope of the Doctoral Researcher position described above. This letter should be max. 3 pages long, font 12.
• PDF copies of your Master’s and Bachelor’s degree certificates, including transcripts of all university records (in Finnish or English).
• Other relevant documents that support your application, e.g. your Master’s thesis, the most relevant publications regarding the call (max. 2), and a list of referees

For more information, please contact:

Professor Alexandros Iosifidis, alexandros.iosifidis@tuni.fi 

Professor Juho Kanniainen, juho.kanniainen@tuni.fi

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Tampereen yliopistossa on haettavana väitöskirjatutkijan (Deep Learning for High-Frequency Financial Data Modeling) tehtävä.

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 Hakuaika tehtävään päättyy 5.10.2026, klo 23:59.