PhD student in electroDNA project of the Brain & Mind Electrophysiology lab
Listed on 2026-08-02
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Research/Development
Data Scientist, Neurology / Neurological Care, Research Scientist
Organisation/Company Gdańsk University of Technology Department Bio Tech Med Center Research Field Neurosciences » Neurophysiology Researcher Profile First Stage Researcher (R1) Positions PhD Positions Final date to receive applications 28 Aug 2026 - 17:00 (Europe/Warsaw) Country Poland Type of Contract Temporary Job Status Full-time Hours Per Week 40 Offer Starting Date 1 Oct 2026 Is the job funded through the EU Research Framework Programme?
Other EU programme Is the Job related to staff position within a Research Infrastructure? No
Two year position in an international project entitled ‘Electrophysiological Discharges of Neuronal Assemblies’ (ElectroDNA) funded in the European Lead Agency Procedure (Opus LAP grant) between Poland and Czech Republic, with a goal to decipher the code of human memories on the level of electrical discharges of fast and slow brain wave activities. To study these we will employ recordings from epilepsy patients, who were implanted with special electrodes and state-of-the-art devices to treat their drug-resistant seizures.
While electrical activity from inside their brain is continuously recorded, the patients perform computer-based tasks to remember words and locations either during their hospital stay or remotely from their homes thanks to the technological capabilities of the new implantable devices. In the final stage of the project, newly implanted patients in Poland and Czech Republic will perform the tasks with Augmented Reality goggles on a regular basis to track their memory and study the underlying bursts of brain wave discharges.
This will be part of an established international collaboration between our teams of neuroscientists, engineers and clinicians. Knowledge and technical 'know-how' from this study can potentially revolutionize the emerging neurotechnologies for fully implantable devices. Detecting and stimulating the basic electrical discharges underlying memory functions at the level of specific engrams has not been demonstrated in humans. The slow (theta) and the fast (ripple) discharges are ideal candidates for decoding and stimulating the engram activities.
They can be easily detected, stored and analyzed to predict, control and improve the effects of new stimulation therapies in individual patients. Each detection takes little computation time and space thus the discharges can be directly applied for personalized treatments delivered online and at home with the latest implantable device technologies.
Research Field Neurosciences » Neurophysiology Education Level Master Degree or equivalent
Skills/Qualifications- Fluent programming in Python or Mat Lab
- Analysis of brain electrophysiological signals
- Research experience in neuroscience and/or biomedical engineering
- Student status at a Polish university
- Cover letter outlining the intention to pursue this position
- CV with detailed research and academic achievements
- Undergraduate diploma from an internationally recognized institution
- Letters of reference from at least two academic mentors/supervisors (optional)
Languages ENGLISH Level Excellent
Research Field Neurosciences » Neurophysiology Years of Research Experience 1 - 4
Additional Information- Monthly scholarship of 5 000 PLN
- Training in state-of-the-art implantable human brain devices for recording and stimulation during AR cognitive tasks
- Presentation of results on the main neuroscience meetings of the American (SfN meeting), European (FENS Forum) and Polish (PTBUN) societies
- Gdansk University of Technology student benefits (sports card, publication bonuses, additional scholarships)
- Admission to the graduate school at the Gdansk University of Technology or another Polish institution
- Student status for at least 2 years of the project
- Fluent command of written and spoken English for research
- Email cover letter with CV and degree diplomas attached plus optional reference letters until 28.08.2026
- Selection of applications shortlisted for an online panel interview between
- Decisions sent to the interviewed applicants by 21.09.2026
- Positions start as early as 01.10.2026
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