Data scientist interested in brain function
The department of basic neuroscience at the Univeristy of Geneva (Lüscher lab) is seeking to hire a data scientist to investigate how the brain integrates reward signalling to generate behaviour. The candidate would analyse a variety of experimental data rooted in visualization of neurons and synapses, calcium imaging and multi-electrode recordings to understand neuronal dynamics underlying motivated behaviour.
We are looking for a highly motivated individual with a strong background in more than one of the following fields: neuroscience, computer science, electrical engineering, physics, or mathematics.
The candidate will develop algorithms for modelling neural computation and for analysing large, experimentally obtained datasets of brain structure and function. The candidate will work with a team of experimental neuroscientists in the Lüscher lab, as well other members of the department of Basic neurosciences (in particular the Alex Pouget lab). This position will be basedin the medical centre of the University of Geneva (CMU), with opportunities to collaborate with neighboring institutions, such as Campus Biotech, University of Lausanne, EPFL etc. Generous compensation, dependent on experience of candidate and rank hired, we are seeking a permanent scientist position, although those interested in doing a post-doctoral fellowship are also encouraged to apply.
The successful candidate will work on a project investigating neural circuits in mouse models of addiction, eating disorders and OCD. We start by characterizing pathological synaptic plasticity in basal ganglia with the goal to design optogenetic reversal protocols (e.g. depotentiaton protocol to reverse drug-evoked plasticity), which can then be tested in vivo to asses the impact on behavior. In a second step we seek to emulate optogenetic protocols with DBS in mice.
The techniques used include patch clamp recordings in acute brain slices, optogenetics, genetically encoded calcium indicators, in vivo multiunit recordings in freely moving mice, deep brain stimulation and behavioral testing.
Examples of the work of the lab can be found in:
Pascoli et al, Nature 2014: doi: 10.1038/nature13257. Bocklisch et al, Science 2013: doi: 10.1126/science.1237059. Brown et al. Nature 2012: doi: 10.1038/nature11657. Pascoli et al. Nature 2011: doi: 10.1038/nature10709.
Highly motivated candidates are encouraged to contact Christian Lüscher () before the SfN 2014 meeting.
MD or PhD in Neuroscience.
Knowledge of the basal ganglia literature is a plus.
none at the moment