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Postdoctoral Research Associate – QMUL – 27 octobre 2026

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L’essentiel de l’offre

  • Poste : Postdoctoral Research Associate
  • Employeur : Queen Mary University of London (QMUL)
  • Lieu : Mile End campus, London, United Kingdom
  • Contrat : Fixed-term, 24 months (Full-time, 1.0 FTE)
  • Date limite : 8 November 2026, at 23:55
  • Niveau requis : PhD by the position’s start date

Contexte

Queen Mary University of London (QMUL) is inviting applications for a Postdoctoral Research Associate to join Dr Wojciech Kopec’s research group within the School of Physical and Chemical Sciences. The position is part of the BBSRC Pioneer Award project, Dark Channelome, which aims to discover and functionally classify potential human ion channels by combining artificial intelligence-based protein structural modelling with molecular dynamics simulations.

This research opportunity is suited to scientists with expertise in computational biophysics, biomolecular simulations, protein structural modelling, and scientific programming who wish to contribute to innovative research at the intersection of computational biology and molecular physics.

Missions et responsabilités

The Dark Channelome project investigates whether the physical properties of predicted protein pores can reveal previously undiscovered ion channels in humans. By integrating AI-driven structural predictions with molecular simulations, the research team seeks to identify candidate membrane proteins and establish whether their predicted structures support ion conduction.

  • Generate and evaluate membrane-protein assemblies.
  • Investigate pore geometry and hydration.
  • Apply computational electrophysiology to test candidate channels.
  • Examine why certain structurally plausible pores may fail to conduct ions, providing insights into the relationship between protein structure and function.
  • Translate computational findings into experimentally testable predictions in collaboration with research partners at the University of Oxford.
  • Contribute to an openly shared research resource.
  • Publish scientific findings, develop research independence, mentor students, and pursue professional development.
  • Utilize local GPU resources and Queen Mary’s high-performance computing facilities.

Profil recherché

Applicants should possess a relevant PhD by the position’s start date and demonstrate experience in several key areas:

  • Biomolecular molecular dynamics simulations.
  • Protein structural modelling and analysis.
  • Scientific programming and computational problem-solving.
  • Linux-based high-performance computing environments.
  • Membrane-protein biophysics.
  • Diagnose computational issues, critically evaluate scientific evidence, and clearly explain their individual contributions to previous research projects.
  • Experience with AlphaFold-based protein structure prediction or ion-channel simulations would be advantageous.
  • Ability to integrate computational methods, interpret molecular-level behaviour, and communicate research findings effectively.

Conditions et avantages

  • Salary: £42,933–£52,790 per annum (candidates close to completing their PhD may initially be appointed within the junior research training zone at Grade 4, with a salary of £39,187–£39,802 per annum, increasing following completion of the PhD).
  • Competitive salary, pension scheme, 30 days of annual leave, and a season ticket loan scheme.
  • Professional development opportunities, family-friendly policies, work-life balance support, and flexible working arrangements.
  • Reasonable adjustments available throughout the recruitment process for candidates with disabilities.

Dossier de candidature

  • Official job pack: 11566 – PDRA – Job Pack.pdf (for detailed responsibilities, selection criteria, and application requirements).

Comment postuler

Interested candidates should review the official job pack and visit the official website to apply. For further information, applicants can contact Dr Wojciech Kopec at [email protected]. Reference ID: 11566. Application deadline: 8 November 2026 at 23:55.

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