Part-time AI Research Assistant for Financial Forecasting

Newcastle University; Newcastle upon Tyne; On-site; GBP 13,000 - 17,000; Part time

Job summary

Newcastle University invites applications for two part-time Research Assistants in AI for Financial Forecasting, Data Modeling, and Multi-Agent Systems within the School of Engineering. You will join a collaborative research community in Newcastle and work with Dr Ekin Can Erkus and Prof.

Rishad Shafik as part of the SONNETS network across multiple institutions. The role focuses on practical AI research, data preparation, and publishing technical outputs.

Qualifications

• Strong Python skills and experience with data science tools.
• Experience with SQL and data pipelines.
• Familiarity with scikit-learn, NumPy, and pandas.
• Experience using Git/GitHub and Jupyter notebooks.
• Power BI or equivalent visual analytics tooling.
• Exposure to cloud or API‑based AI tools and LLM workflows.
• Knowledge of agent orchestration and retrieval‑augmented generation is a plus.

Responsibilities

• Prepare tabular and time-series datasets for experiments.
• Implement Python-based forecasting and regression experiments.
• Test AI-assisted workflow components and data pipelines.
• Prepare outputs for project meetings, reports and academic papers.

Skills

Python

SQL

Data pipelines

scikit-learn

NumPy

pandas

R

Git/GitHub

Jupyter notebooks

Power BI

cloud or API-based AI tools

LLM workflows

agent orchestration

retrieval-augmented generation

AutoML pipelines

Tools

SQL

Git/GitHub

Power BI

Jupyter Notebooks

Job description

Newcastle University invites applications for two part-time Research Assistants in AI for Financial Forecasting, Data Modeling, and Multi-Agent Systems within the School of Engineering. You will join a collaborative research community in Newcastle and work with Dr Ekin Can Erkus and Prof.

Rishad Shafik as part of the SONNETS network across multiple institutions. The role focuses on practical AI research, data preparation, and publishing technical outputs.