PhD Researcher - Deep Learning for High-Frequency Finance

Tampereen yliopisto; Pirkanmaa; On-site; EUR 31,000 - 32,000; Full time

Benefits offered by this job

Occupational health care

Flexible work schedule

Versatile research infrastructure

Modern teaching facilities

Personal fund for sports and culture

Job summary

Tampere University is inviting applications for a Doctoral Researcher to develop deep learning methods for high-frequency financial data. The role is a four-year fixed-term position, based at the Hervanta Campus in Tampere, Finland, with teaching tasks possible (5-10%).

The project advances state-of-the-art ML models and requires a strong ML/DL background and English communication. The selected candidate will conduct research on generative and trustworthy models for financial data, and

Qualifications

• Master’s degree in computer science, computer engineering, or related field.
• Strong knowledge of ML theory and methods with emphasis on DL.
• Ability to conduct systematic scientific research in DL.
• Excellent English communication and collaboration in multidisciplinary teams.

Responsibilities

• Design and implement new ML/DL methods for financial data modeling.
• Publish high-level scientific works and contribute to research outputs.
• Possibly assist with teaching tasks (5–10%).

Skills

Machine Learning theory

Deep Learning

Research skills

Critical thinking

English communication

Education

Master's degree in computer science or related field

Job description

Tampere University is inviting applications for a Doctoral Researcher to develop deep learning methods for high-frequency financial data. The role is a four-year fixed-term position, based at the Hervanta Campus in Tampere, Finland, with teaching tasks possible (5-10%).

The project advances state-of-the-art ML models and requires a strong ML/DL background and English communication. The selected candidate will conduct research on generative and trustworthy models for financial data, and