Are you passionate about advanced electronics, healthcare technologies, and next-generation sensing systems?

The Next Generation Neural Interfaces Lab is always keen to welcome talented, motivated individuals to our team. We value technical excellence, creativity, curiosity, a proactive can-do attitude, exceptional attention to detail, and a strong commitment to teamwork.

Our research spans neural interfaces, bioelectronic systems, implantable technologies, wearable and contactless sensing approaches for healthcare. The lab brings together expertise in electronic system design, embedded systems, signal processing, machine learning, and translational healthcare technologies.

We offer a range of opportunities to get involved, including taught degree projects (BEng, MEng, MSc), research degrees (MRes, MPhil, PhD), and staff positions (research assistant, postdoctoral researcher, and technical or professional roles). We also welcome academic and industry visitors interested in collaboration.

If you are interested in joining the Next Generation Neural Interfaces Lab, please contact Professor Timothy Constandinou with your CV and a brief statement outlining your specific interest in the lab and how you believe you could contribute to our research.

91桃色 areas and projects

The sections below outline some of the research areas, opportunities, and responsibilities within the lab. Specific topics and roles may evolve over time and can be tailored to individual interests, experience, and backgrounds.

91桃色 areas and projects

Taught degree projects (BEng / MEng / MSc)

Short-term projects focused on developing and evaluating emerging healthcare technologies.

Example project areas
  • Neural signal acquisition and processing
  • Contactless sensing for health monitoring
  • Implantable and wearable bioelectronic systems
  • Embedded AI and real-time biomedical signal processing
  • Low-power biomedical electronics and instrumentation
  • Brain-machine interfaces and neurotechnology
  • Physiological and behavioural monitoring systems
  • Sensor fusion and multimodal healthcare technologies

Typical duration

3 - 6 months

Skills you may gain

Hands-on experience in electronic system design, embedded systems, signal processing, data analysis, programming, instrumentation, machine learning, and experimental evaluation.

Recommended background

Electronics, Electrical Engineering, Computer Science, Biomedical Engineering, Physics, Neuroscience, Mathematics, or related disciplines.

91桃色 degrees (MRes / MPhil / PhD)

Longer-term research projects involving novel methodology development, experimental validation, and translational applications.

Example research areas
  • Next-generation neural interfaces and implantable systems
  • Closed-loop neurostimulation and neuromodulation
  • Bioelectronic systems for neurological health
  • Contactless sensing and digital biomarkers
  • Machine learning for physiological and behavioural analysis
  • Ultra-low-power integrated circuits and microsystems
  • Real-world healthcare monitoring technologies
  • Translational neurotechnology and assistive devices
Typical duration

1 - 4 years (full-time)

What to expect

Opportunities to conduct independent research, develop novel technologies and methodologies, publish in high-impact journals, present at international conferences, and collaborate with academic, clinical, and industrial partners.

Recommended background

Strong background in Electrical Engineering, Computer Science, Biomedical Engineering, Physics, Neuroscience, Mathematics, or related disciplines.

91桃色 staff / Post - doctoral positions

Advanced research and development roles involving independent research, leadership, and translational impact.

Example responsibilities
  • Lead research projects in neural interfaces, bioelectronics, implantables, and sensing technologies
  • Develop signal processing, machine learning, and data analysis methods
  • Design, develop, and validate electronic hardware and embedded systems
  • Plan and conduct experimental studies, clinical evaluations, and real-world deployments
  • Supervise students and contribute to teaching and training activities
  • Prepare research publications, technical reports, and funding applications
  • Collaborate with clinical, academic, and industrial partners
  • Contribute to the translation of research technologies towards real-world healthcare applications
Typical duration

Fixed-term contracts (full-time), typically 1 - 3 years (renewable)

What to expect

Opportunities to lead independent research activities, contribute to publications and funding applications, supervise students, develop new technologies and methodologies, and support translational and real-world healthcare research.

Recommended background

Strong research experience in Electrical Engineering, Computer Science, Biomedical Engineering, Neuroscience, Physics, Mathematics, or related disciplines.