PhD Researcher: Deep Learning for High-Frequency Finance

Tampere University; Tampere; 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 in Finland invites applications for a Doctoral Researcher to work on deep learning methodologies for high-frequency financial data modeling. The position is full-time for four years at Hervanta Campus, with an emphasis on publishing research and contributing to teaching tasks (5–10%).

Applicants should hold a Master’s degree in a related field, have strong ML/Deep Learning knowledge, and excellent English communication.

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.
• Ability to conduct systematic scientific research related to the design of Deep Learning methods and models.
• Knowledge and experience of Generative AI focusing on the methodologies and their applications in different types of data.
• 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.

Responsibilities

• Design, implement, and propose new ML/Deep Learning methods for Financial Markets.
• Publish high-level scientific publications.
• Possibly teach tasks (5–10%) and support other faculty duties.

Skills

Machine Learning theory

Deep Learning

Research skills

Critical thinking

English communication

Team collaboration

Generative AI

Python

TensorFlow

PyTorch

Education

Master's degree in relevant field

Tools

Python

TensorFlow

PyTorch

Job description

Tampere University in Finland invites applications for a Doctoral Researcher to work on deep learning methodologies for high-frequency financial data modeling. The position is full-time for four years at Hervanta Campus, with an emphasis on publishing research and contributing to teaching tasks (5–10%).

Applicants should hold a Master’s degree in a related field, have strong ML/Deep Learning knowledge, and excellent English communication.