Postdoc, Aging Neuroscience — 7T MRI & Brain Networks

1000scholars; Trondheim; Vor Ort; NOK 570.000 - 697.000; Vollzeit

Benefits dieser Stelle

Mentor programme

Norwegian Public Service Pension Fund

Open and inclusive working environment

Zusammenfassung

NTNU invites applications for a three-year Postdoctoral Fellow position in the Kavli Institute’s Aging Neuroscience Group. The lab investigates social and emotional processing in aging, including 7T MRI work, and plans to extend cross-sectional and large-scale data studies.

Applicant will work under Maryam Ziaei, focus on brain networks, and aim for an academic career path toward associate professor. Eligibility requires a doctoral degree and strong English communication.

Qualifikationen

• PhD in psychology, neuroscience, biomedical sciences or related field.
• Expertise in design and analyses of fMRI data (task/resting state).
• Expertise in univariate analyses (SPM, FSL) and programming (Python, MATLAB).
• Experience in multivariate analyses and network analyses.
• Excellent academic record with publications in relevant fields.
• Excellent oral and written English communication.

Aufgaben

• Carry out high-quality research in the Aging Neuroscience Group.
• Collaborate on study design and data collection (fMRI and behavioural testing).
• Analyze data and contribute to publications and dissemination.

Kenntnisse

fMRI design/analysis

Python

MATLAB

Univariate analyses

Multivariate analyses

Network analyses

English proficiency

Ausbildung

PhD in neuroscience/psychology/biomedical sciences or related field

Tools

SPM

FSL

Python

MATLAB

Jobbeschreibung

NTNU invites applications for a three-year Postdoctoral Fellow position in the Kavli Institute’s Aging Neuroscience Group. The lab investigates social and emotional processing in aging, including 7T MRI work, and plans to extend cross-sectional and large-scale data studies.

Applicant will work under Maryam Ziaei, focus on brain networks, and aim for an academic career path toward associate professor. Eligibility requires a doctoral degree and strong English communication.