PhD positions in Graph Machine Learning for Financial Crime Analysis

Updated: 4 months ago
Deadline: 10 Dec 2023

4 Nov 2023
Job Information
Organisation/Company

Delft University of Technology
Research Field

Computer science » Other
Researcher Profile

First Stage Researcher (R1)
Country

Netherlands
Application Deadline

10 Dec 2023 - 00:00 (UTC)
Type of Contract

To be defined
Job Status

Negotiable
Is the job funded through the EU Research Framework Programme?

Not funded by an EU programme
Is the Job related to staff position within a Research Infrastructure?

No

Offer Description

Graph machine learning (Graph ML) is an emerging field of artificial intelligence (AI) motivated by the ubiquity of graph-structured data in real-world applications.

A key objective of this project is to analyse the trade-offs between combinatorial and neural-network-based approaches in the Graph ML space. We aim to explore an unexplored design space, where GNNs and combinatorial algorithms can be combined based on linear-algebra-based primitives, leading to more efficient solutions.

The project will cover some real-world applications of Graph ML in the financial space, including analysis of financial transaction networks to detect criminal activities such as money laundering. In this area, we will explore new ways of combining GNNs and Large Language Models (LLMs) to construct machine learning solutions that can operate on graph-structured data with multimodal node and edge features.


Requirements
Additional Information
Website for additional job details

https://www.hipeac.net/jobs/14392/phd-positions-in-graph-machine-learning-for-f…

Work Location(s)
Number of offers available
3
Company/Institute
Delft University of Technology
Country
Netherlands
City
TU Delft

Where to apply
Website

https://www.tudelft.nl/over-tu-delft/werken-bij-tu-delft/vacatures/details?jobI…

Contact
City

Delft
Website

http://www.tudelft.nl/
https://twitter.com/tudelft

STATUS: EXPIRED

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