Vilnius University is offering two postdoctoral positions within an ERC Consolidator Grant project. The research focuses on understanding the role of neuronal glycocalyx in shaping the architecture of emerging circuits, specifically investigating the role of glycocalyx and neuron-surface sialic acid in neuronal synapse formation, function, and remodeling through the lens of human evolution.

Research Focus

The core of this project lies in exploring how human-specific sialylation has contributed to the unique evolution of the human brain. This involves a collaborative approach, combining iPSC-derived neurons from human and non-human primates with comprehensive electrophysiological, molecular, and glycomic analysis. The ultimate goal is to define the impact of glycocalyx on neuronal circuit development and function.

The research will utilize cutting-edge technologies and a rich scientific community to investigate the intricacies of neuronal glycocalyx. This project aims to bridge the gap in our understanding of how glycosylation influences brain evolution and function.

Both positions are full-time and tenable for up to 5 years.

Position 1: iPSCs Postdoctoral Researcher

This role involves designing and executing experiments to study the circuit assembly of iPSC-derived neurons in vitro. A key responsibility will be establishing iPSC-derived neuronal and glial cultures from both human and non-human primate iPSCs.

The researcher will collaborate with molecular biologists to perform iPSC genome editing using CRISPR/Cas tools. Additionally, collaboration with glycome analysis facilities will be essential to define human-specific glycosylation and sialylation patterns.

The researcher will use postsurgical human tissue to validate iPSC findings.

Position 2: Electrophysiology Postdoctoral Researcher

This position focuses on developing and implementing multi-electrode array (MEA) pipelines to investigate circuit properties. The researcher will supplement MEA recordings with calcium imaging techniques to gain a comprehensive understanding of neuronal activity.

The role also involves combining optogenetic and MEA approaches for circuit stimulation and leading computational analysis of network activity data. Collaboration with cell and molecular biologists will be crucial for integrating diverse datasets.

The researcher will lead computational analysis of network activity data.

Required Qualifications and Skills

Applicants must hold a Ph.D. in Neuroscience, Life Sciences, or a related field. A strong publication record is essential to demonstrate research capabilities and experience.

Candidates should possess a keen interest in setting up new techniques and demonstrate the ability to work independently. Strong analytical and problem-solving skills are also necessary.

The successful candidate should have experience in one or more of the following:

• Cell culture techniques

• Electrophysiology

• Molecular biology

How to Apply

Interested candidates should submit the following documents to urte.neniskyte@gmc.vu.lt:

• A detailed CV including a publication list

• A cover letter describing research interests and relevant experience

• Names and contact information of three references

The deadline for applications is January 1, 2026.