Lead MEG Neuroscience Researcher: Brain Dynamics

University of Oxford

Oxford

Hybrid

GBP 49,000 - 58,000

Full time

2 days ago
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Benefits offered by this job

Excellent contributory pension scheme
38 days annual leave
Comprehensive childcare services
Family leave schemes
Cycle loan scheme
Discounted bus travel and SeasonTicket
Membership to social/sports clubs
Hybrid working

Job summary

The University of Oxford invites applications for a researcher to lead a program investigating brain dynamics and adaptive white matter plasticity. You will design MEG-based experiments (SQUID/OPM) and develop dynamical-systems models translating mechanistic knowledge into biomarkers for psychiatric conditions.

The role is funded for 2 years, with hybrid working options and a strong emphasis on collaboration and high-impact publications. A PhD in Neuroscience or related field is required.

Qualifications

  • PhD/DPhil in Neuroscience or closely related discipline with strong publication record.
  • Specialist knowledge of white matter plasticity and myelination.
  • Ability to translate neuroscience into computational and dynamical-systems models.

Responsibilities

  • Design and lead an original research programme on long-range white matter projections and adaptive brain plasticity.
  • Translate mechanistic knowledge into dynamical systems and whole-brain modelling.
  • Conceptualise, design and execute MEG-based experiments using SQUID and next-generation OPM systems.
  • Identify dynamical systems biomarkers relevant to psychiatric conditions.

Skills

Publication record
White matter plasticity
Myelination knowledge
Computational/dynamical-systems
Supervision experience

Education

PhD/DPhil in Neuroscience or related field

Tools

MEG equipment (SQUID/OPM)

Job description

The University of Oxford invites applications for a researcher to lead a program investigating brain dynamics and adaptive white matter plasticity. You will design MEG-based experiments (SQUID/OPM) and develop dynamical-systems models translating mechanistic knowledge into biomarkers for psychiatric conditions.

The role is funded for 2 years, with hybrid working options and a strong emphasis on collaboration and high-impact publications. A PhD in Neuroscience or related field is required.

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