Postdoctoral fellow in computational methods for clinical MRI

Dalhousie University; Halifax; On-site; CAD 50,000; Full time

Job summary

An established industry player is seeking a highly motivated Postdoctoral Research Fellow to explore computational methodologies in neuroimaging. This role involves analyzing multimodal MRI data, developing new algorithms, and enhancing diagnostic approaches for neurological disorders. The ideal candidate will possess a PhD in Neuroscience or Computer Science and a passion for integrating quantitative data to improve patient care. This is a full-time position with a potential for extension, offering a competitive salary and comprehensive benefits. Join a dynamic research team and contribute to groundbreaking studies that can transform healthcare outcomes.

Benefits

Comprehensive Benefits Plan

Potential for Contract Extension

Qualifications

• PhD in Neuroscience or Computer Science obtained within the last five years.
• Strong motivation and detail-oriented approach required.

Responsibilities

• Conduct quantitative research analyses and manage project timelines.
• Collaborate with interdisciplinary teams and mentor trainees.

Skills

Quantitative Research Methods

Statistical Analysis

MRI Research Methodologies

Collaboration Skills

Analytical Thinking

Communication Skills

Education

PhD in Neuroscience

PhD in Computer Science

Job description

Postdoctoral Fellow in Computational Methods for Clinical MRI

We are seeking a highly motivated Postdoctoral Research Fellow with a strong interest in applying computational methodologies to understand brain function and dysfunction during disease. This project will examine multimodal MRI data from both healthy and diseased subjects, identify challenges such as the use of computational models with small datasets, and explore opportunities to develop new algorithms to overcome current limitations. It will also aim to characterize key features of neurological disorders and provide new insights to improve diagnosis and evaluation during treatment using MRI metrics.

The ideal candidate will have a passion for Neuroscience and Computer Science, integrating multiple sources of quantitative data and a drive to explore new areas of neuroimaging inquiry to transform the quality of care for disease populations.

Work Performed

• Conduct rigorous quantitative research analyses with a strong methodological foundation.
• Coordinate research activities and manage project timelines.
• Organize and collect data from diverse sources.
• Identify and pursue secondary research projects and funding opportunities.
• Contribute to literature reviews and research syntheses.
• Author research abstracts, reports, and scientific articles for submission to peer-reviewed journals.
• Present findings at national and international conferences.
• Collaborate with interdisciplinary research teams to drive impactful studies.
• Mentor trainees in different aspects of clinical research.

Minimum Qualifications

• PhD in Neuroscience, Computer Science or related field obtained within the last five years.
• Evidence of ability to collaborate in a mixed-methods research environment.
• Strong personal motivation, self-management, and detail-oriented approach.
• In-depth knowledge of MRI research methodologies, systematic reviews, and syntheses.
• Formal education/training in quantitative research methods and statistical analysis.
• Excellent written and verbal communication skills, including research writing and interpersonal collaboration.
• Strong conceptual, analytical, and critical thinking abilities.
• Demonstrated initiative and a willingness to work closely with a diverse research team.
• High level of professionalism, ethical conduct, discretion, and diplomacy.
• Ability to mentor trainees.

We Offer:

• Full-time term position (1-year, with the potential to extend).
• Compensation: $50,000 per year plus benefits.
• Desired Start Date: May 1, 2025.
• Benefits: Dalhousie offers a comprehensive benefits plan.

Application Package:

• Updated CV.
• Your most relevant publication (one) on a peer-reviewed journal PDF.

Seniority Level

Internship

Employment Type

Full-time

Job Function

Research, Analyst, and Information Technology

Industries

Higher Education