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Research Fellow in AI and NLP

2 months ago


Midlothian, United Kingdom The University of Edinburgh Full time
Job Opportunity

We are seeking a highly skilled Research Fellow to join our team at the University of Edinburgh. The successful candidate will be responsible for undertaking original research in AI-driven Financial Computing, working closely with the School of Informatics and the Centre for Investment Innovation.

About the Role

This is a fixed-term position for 24 months, with the opportunity to contribute to a cutting-edge project in NLP and financial asset management. The successful candidate will have a strong background in Finance, AI, and NLP, with experience in running large-scale NLP models and software development.

Key Responsibilities

  • Undertake original research in AI-driven Financial Computing, with a focus on NLP and large language model-based financial asset management and decision support systems.
  • Collaborate with the School of Informatics and the Centre for Investment Innovation to develop and implement AI/NLP/LLM models for financial text analysis.
  • Contribute to the development of software prototypes and experiment testbeds for benchmarking NLP/ML models.
  • Engage with industry collaborators, particularly in the finance sector, to apply AI/NLP/LLM models for financial asset management.
  • Present research findings and publications in high-quality journals and international conferences.

Requirements

  • PhD in Finance, AI, or NLP, with experience in running large-scale NLP models and software development.
  • Strong research skills in NLP and large language model-based financial text analysis.
  • Experience in software development, particularly in Python and PyTorch.
  • Effective written and oral communication skills, with experience in presenting research findings and publications.
  • Ability to work collaboratively with industry collaborators and academic researchers.

Desirable Skills

  • Proficiency in Linux and physics simulators (Gazebo).
  • Experience in applying foundation models in computer vision.
  • Background in Soft/Flexible Robotics.

How to Apply

Please submit your application, including your CV and a cover letter, to [insert contact information]. We look forward to hearing from you.