PhD position in Liège, Belgium

Neurostars; Luik; On-site; EUR 25,000 - 30,000; Full time

Job summary

A leading research group in Belgium is seeking a motivated PhD student to join their team. The role involves developing methods for analyzing fMRI and EEG data to assess consciousness, requiring a Master's degree in a relevant field and strong programming skills. This position offers an opportunity for interdisciplinary research starting in April 2020, with a competitive full-time salary and a supportive working environment.

Qualifications

• Strong interest in interdisciplinary research.
• Previous experience in EEG/MRI analysis preferred but not mandatory.

Responsibilities

• Develop and apply fMRI & EEG signal processing methods.
• Investigate structure-function interactions using multimodal modeling.
• Apply statistical methods and machine learning algorithms.

Skills

Fluent in English

Good programming skills (Python and MATLAB)

Education

Master’s degree or equivalent in computer sciences, engineering, physics or a closely related discipline

Job description

PhD Student – Human Brain Project

The Coma Science Group, directed by Pr. Steven Laureys, at the GIGA research Centre – University of Liege (https://www.gigacoma.uliege.be 1) is seeking to hire a highly motivated PhD student. Position starts in April 2020 (3‑year funding, full‑time, with a 6‑month trial period).

The candidate will work on multimodal data (fMRI, EEG) and modeling analysis. More specifically, the student will develop and compare methods for assessing consciousness in humans (anesthesia, sleep, and disorders of consciousness).

Job Description

• Develop and apply fMRI & EEG signal processing methods as well as source reconstruction methods.
• Investigate structure‑function interactions using multimodal modeling of source‑reconstructed data recordings.
• Apply statistical methods and machine learning algorithms on the features extracted from the processed signals.

Requirements

• Master’s degree or equivalent in computer sciences, engineering, physics, or a closely related discipline with excellent grades and a strong interest in interdisciplinary research.
• Fluent in English, both oral and written.
• Good programming skills (Python and MATLAB) are required.
• Previous experience in EEG/MRI analysis preferred but not mandatory.

How to Apply

Send CV, motivation letter, copies of educational certificates, and contact information (email) of two potential referees to Federico Raimondo: [e-mail].

Application Deadline

March 14th, 2020.