Summary

The Papageorgiou Lab is dedicated to exploring the mechanisms of neuro-rehabilitation through AI-driven MRI-based individualized NeuroModulation (iNM), which targets individualized regions based on the patient’s lesion location and extent. iNM aims to neuro-rehabilitate central and peripheral nervous system injuries. Through a range of advanced quantitative methods, such as causal modeling (Hidden Markov Models), linear and non-linear machine learning, population receptive field analysis we aim to elucidate the spatiotemporal mechanisms of plasticity with iNM treatment to alleviate chronic neuropathic pain in head and neck cancer and breast cancer survivors, decelerate cognitive impairment and neuro-rehabilitate visual perception in cortically blind patients

We are seeking a highly motivated Research Associate or Postdoctoral Fellow to join the Papageorgiou/Investigational Targeted Brain Neurotherapeutics Laboratory. The successful candidate will conduct cutting-edge computational modeling and cortical repair and neuromodulation experiments in patients and healthy participants. This project aims to uncover the mechanisms underlying cortical repair through the use of computational techniques such as Hidden Markov Models, machine learning, and functional connectivity. This project offers an exciting opportunity to advance understanding of innovative neurofeedback methods applied to health and neurological disorders (e.g., cortical blindness, chronic pain, motor disorders). The ideal candidate will have a passion for innovative scientific research and flexibility in their work schedule.

Job Duties

• Conducts a range of advanced quantitative analyses on existing neuroimaging datasets.
• Assists in ensuring the seamless operation and synchronization of the closed-loop system during MRI, fMRI and iNM sessions with both patients and healthy participants.
• Analyzes using AFNI software, matlab, and python.
• Documents research findings and help with writing-up papers for peer-reviewed journals.
  

Minimum Qualifications

• MD or Ph.D. in Basic Science, Health Science, or a related field.
• No experience required.

Preferred Qualifications

• Ph.D. in Neuroscience or Electrical Engineering or Neuroengineering or related field.
• Strong knowledge of matlab and python and ability to independently troubleshoot.
• Advanced computational skills.
• Proven ability to write and present scientific reports, publications, and deliver scientific presentations.
• Strong interpersonal communication skills, with the ability to collaborate effectively in a team and conduct independent research.