Program Manager for Large-scale Research Infrastructure on Neurotechnology

Program Manager for Large-scale Research Infrastructure on Neurotechnology

UvA - University of Amsterdam

Amsterdam, Netherlands

€ 3,708 - € 5,057 per month gross

Are you passionate about neuroscience and eager to shape the future of novel technologies to in investigate the brain and new methods to alleviate brain disorders? Do you thrive in an interdisciplinary research setting and enjoy collaborating with diverse research partners? Then we are looking for you!

This is what you will do

As program manager, you will support the coordination and leadership of the EBRAINS-Neurotech infrastructure in managing the project in the following ways:

• Coordinating meetings and other activities of the consortium, including scientific management, outreach and education, ethical screening of projects, meeting organization, dissemination and reporting, project administration, data storage and communication with external users of the Neurotech facilities; you will act as a ‘central node’ in the project;
• Spearheading and supporting the preparation of novel grant applications, e.g. in the domain of Europe’s digital infrastructure for brain research (EBRAINS-Europe) and interacting with other European partners to realize this role;
• Facilitating and coordinating scientific research in the EBRAINS-Neurotech project by closely interacting with researchers in experimental and computational neuroscientists in the CSN group, and with hardware and software engineers and neuroscientists in collaborating groups, both inside and outside the Netherlands;
• Thinking creatively about realizing the infrastructural and scientific goals of the project, and advancing the infrastructure towards future sustainability and efficacy;
• Organizing and executing additional tasks that are conducive to the project in the range of training, education, local group meetings and other activities.

What we ask of you

Your experience and profile:

• A Master, Medical Doctor (MD) degree or PhD in experimental or computational neuroscience, although candidates with degrees in related fields, including computer science, AI, engineering, mathematics or physics, will also be considered;
• Experience and/or affinity with research in neurotechnology is preferred, particularly with ensemble recording and 2-photon imaging techniques, neuromodulation and other interventional methods, computer simulations and/or neural data analysis;
• Experience in organizing scientific and educational activities; coordination of multi-group processes;
• Strong communication skills and a flexible, adaptive attitude coupled to rapid response capability;
• Fluency in English, both written and spoken.