Doctoral Researcher — Deep Learning for Financial Markets

Tampereen Yliopisto; Tampere; On-site; EUR 31,000 - 32,000; Full time

Benefits offered by this job

Occupational health care

Flexible work schedule

Research infrastructure

Modern teaching facilities

Personal fund for sports & culture

Job summary

Tampere University invites applications for a Doctoral Researcher to develop deep learning methods for high-frequency financial data modeling. The role is embedded in the Computational Intelligence group and involves collaboration with the Financial Data Science group at Tampere University.

The position is full-time for a fixed four-year term, located at Hervanta Campus, Finland. The researcher will design machine learning models for financial markets, with emphasis on generative modeling,

Qualifications

• Master's degree in computer science, computer engineering or related field.
• Strong knowledge of ML theory and Deep Learning methods.
• Ability to conduct systematic scientific research for DL methods and models.
• Curious mind with problem solving and critical thinking.
• Experience with Generative AI and data analysis is advantageous.
• Excellent English communication and ability to publish.

Responsibilities

• Design, implement, and propose new ML/DL methods for financial data.
• Contribute to teaching tasks (5-10%) or similar duties.
• Publish high-quality scientific papers in relevant venues.

Skills

Machine Learning theory

Deep Learning

Research design

Critical thinking

English communication

Academic writing

Education

Master's degree in Computer Science/Engineering

Job description

Tampere University invites applications for a Doctoral Researcher to develop deep learning methods for high-frequency financial data modeling. The role is embedded in the Computational Intelligence group and involves collaboration with the Financial Data Science group at Tampere University.

The position is full-time for a fixed four-year term, located at Hervanta Campus, Finland. The researcher will design machine learning models for financial markets, with emphasis on generative modeling,