Autonomous Neuroelectronics Research Engineer

Economics Network

Oxford

Hybrid

GBP 39.000 - 48.000

Vollzeit

Vor 4 Tagen
Sei unter den ersten Bewerbenden
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Zusammenfassung

Economics Network seeks a neuroelectronics research engineer to join the Van Rheede group at the Institute of Biomedical Engineering, Oxford. The role involves developing an autonomous battery-powered closed-loop brain stimulation/recording system for preclinical research in rats, with 24h+ continuous operation in home cages.

The candidate will design architecture, integrate MintNeuro chips, and ensure compact, power-efficient hardware while collaborating with neuroscience researchers and

Qualifikationen

  • PhD or equivalent professional/research experience in engineering, computer science, neuroscience or closely related discipline.
  • Experience in system design for signal processing and real-time control.
  • Experience working with embedded electronics.
  • Experience in PCB design and debugging.

Aufgaben

  • Design a system architecture and firmware for prototype brain stimulation/recording systems.
  • Integrate new brain recording and stimulation chips from MintNeuro.
  • Design and implement a system form factor and exterior for a 3D-printed head mount.
  • Balance constraints of size, weight and power for preclinical rat experiments.
  • Work with technicians and researchers to understand device requirements and constraints.
  • Assist with validation in animal experiments and bench testing simulations; support lab staff.

Kenntnisse

System design
Embedded electronics
PCB design & debugging

Ausbildung

PhD or equivalent

Tools

PCB design tools

Jobbeschreibung

Economics Network seeks a neuroelectronics research engineer to join the Van Rheede group at the Institute of Biomedical Engineering, Oxford. The role involves developing an autonomous battery-powered closed-loop brain stimulation/recording system for preclinical research in rats, with 24h+ continuous operation in home cages.

The candidate will design architecture, integrate MintNeuro chips, and ensure compact, power-efficient hardware while collaborating with neuroscience researchers and

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