GROUP LEADER with focus on computational neuroscience and neuro-AI

The University of Helsinki, Finland, is a vibrant scientific community of 40,000 students and researchers. It is one of the leading multidisciplinary research universities and ranks among the top 100 international universities in the world. It is currently investing heavily in life sciences research.

The Neuroscience Center is an international research unit within Helsinki Institute of Life Science (HiLIFE). The mission of the Neuroscience center is to advance fundamental discoveries in neurosciences to understand how the brain gives rise to complex behaviors in health and disease and to promote health and wellbeing by translating research findings into improvements in the treatments, preventions and diagnostics of psychiatric and neurological disorders. The research groups at the institute operate across several scales from neurogenetics, neurobiology, to systems and computational neuroscience.

The Neuroscience Center invites applications from outstanding candidates for

GROUP LEADER

with focus on computational neuroscience and neuro-AI.

The position is fixed term (non tenure track) with 5 + 4 years upon succesful external mid-term evaluation.

We offer an international, inspiring, and supportive research environment. NC hosts state-of-art infrastructures and neuroscience research facilities including neuronal iPS core, multiphoton microscopes, optogenetics, in vivo imaging and electrophysiology. The members of NC have also an access to cutting-edge human brain imaging (MRI, MEG, EEG, TMS, tACS), supercomputing via center for scientific computing (CSC) as well as Finnish biobank and Finngen data.

We are looking for candidates with an excellent track-record of research performance with post-doctoral experience.

The qualification include: PhD degree from a relevant field within the past 12 years (not including parental / sick leaves).

Postdoctoral experience

Excellent scientific track record in publications and research funding

Evidence of independen