IQ-BRAIN Project Overview

An MSCA Doctoral Network improving and accelerating quantitative MRI (qMRI) through trustworthy physics-informed deep learning.

A technique in MRI that extracts numerical measurements from images.

Students enrolled in PhD programs, working on the IQ-BRAIN project for 36 months.

A program funding doctoral research across multiple institutions.

AI techniques using artificial neural networks to analyze data.

Research involving experts from diverse fields.

Bringing research findings into practical medical use.

Doctoral candidates will be employed for three years during their PhD.

Must not hold a doctoral degree at the time of application.

Applicants cannot have resided or worked in the host country for more than 12 months in the last 36 months.

Need a Master's degree in relevant field (physics, computer science, etc.) or obtain one by appointment date.

Strong academic record, motivation for doctoral research, relevant background and prior research experience.

Must demonstrate sufficient English language skills for international research environment.

Applications are accepted until December 1, 2024, 23:59.

CV (including transcript of academic records), motivation letter, and two references' contact information.

The process of reviewing submitted applications for PhD positions in the IQ-BRAIN project.

An interview with the supervisor, for pre-selected candidates, prior to a full selection committee interview.

An interview with the full selection committee for shortlisted candidates.

The process of hiring doctoral candidates (DCs) at IQ-BRAIN, with interviews scheduled for January/February 2025.

The recruitment process at IQ-BRAIN aims to be fair, inclusive, and considers gender equality.

Recruitment process aligns with ethical guidelines for researchers set by European institutions.

Five specific doctoral researcher jobs in the IQ-BRAIN project at several institutions, with details on their specific areas of focus.

A PhD research position focusing on using AI to improve the speed of diffusion MRI scans.

Using methods to build MRI images from incomplete data, a common issue in MRI studies.

Studying multiple MRI parameters simultaneously to get a complete picture of tissues for better diagnosis

Using AI methods to refine qMRI images for better diagnostic accuracy.

A technique used in MRI to reduce blurring caused by movement during a scan.

Quantifying the possible errors in qMRI measurements and results.

A technique used in MRI to study the diffusion of water molecules in tissues and their relaxation.

Using MRI data to estimate the biological age of a person's brain, to aid in diagnosis and treatment.

Measuring the clearance rate of substances and iron levels in the brain using qMRI