If you are excited to work on the interface of neuroscience, artificial intelligence and cognitive science to understand the brain’s mechanisms of perception and cognition and engineer less artificial but more intelligent machines apply to join our team.Andreas Tolias’ research team is seeking a talented research technician to join a multi- disciplinary team of scientists and engineers working on large scale technologies for brain activity and connectivity mapping. The applicant will support a team of leading researchers in experimental neuroscience, computational neuroscience, and machine learning in an effort to discover algorithmic principles that bridge artificial and natural intelligence and link brains to intelligent machines. The goal of the team is to understand the brain’s mechanisms of intelligence and engineer smarter AI.
We are hiring someone with NHP and/or large scale electrophysiology experience who will be involved in exciting projects studying brain cognition using state of the art facilities and tour de force large scale electrophysiological recordings including neuropixels. This individual will perform responsible research working with non-human primates.
If you are excited to work on the interface of neuroscience, artificial intelligence and cognitive science to understand the brain’s mechanisms of perception and cognition and engineer less artificial but more intelligent machines apply to join our team.
Andreas Tolias’ research team is seeking a talented research technician to join a multi- disciplinary team of scientists and engineers working on large scale technologies for brain activity and connectivity mapping. The applicant will support a team of leading researchers in experimental neuroscience, computational neuroscience, and machine learning in an effort to discover algorithmic principles that bridge artificial and natural intelligence. The goal of the team is to understand the brain’s mechanisms of intelligence and engineer smarter AI.
The research technician will perform cranial window surgeries and carry out multi-photon in vivo imaging experiments, viral injections for tracing and manipulating brain circuits, large scale electrophysiological recordings and behavioral experiments. The lab environment is fast-paced but extremely friendly using state of the art neuroscience equipment for large scale interrogation of brain circuits. We are looking for someone with meticulous attention to detail, who is self- motivated, friendly, good with their hands, and willing to pitch in with whatever is needed to move the experiments forwards. Experience with mouse surgeries, microscopy or electrophysiology is preferred, but we welcome applications from highly motivated and talented junior researchers. Other desirable skills include viral injections, basic programming skills, molecular methods and histology. We place special emphasis in career development.
If you are excited to work on the interface of neuroscience, artificial intelligence and cognitive science to understand the brain’s mechanisms of perception and cognition and engineer less artificial but more intelligent machines apply to join the laboratory of Andreas Tolias. We are seeking a capable and highly adaptable electrical engineer to join a multi-disciplinary team of scientists and engineers working on large scale technologies for brain activity and connectivity mapping and to develop technologies to link brains to intelligent machines.
The candidate will work in a team of scientists and engineers to maintain and help in the further development of large scale technologies for recording and manipulating brain activity. Our team uses primarily electrophysiological and optical methods.
The applicant will support a team of leading researchers in experimental neuroscience, computational neuroscience, and machine learning in an effort to discover algorithmic principles that bridge artificial and natural intelligence and to build brain machine interfaces. Our efforts will draw on state-of-the-art neuroscientific data collected by a team of experienced experimentalists. This unique and ambitious collaboration has exciting potential for revolutionary discoveries in both neuroscience and machine learning. We invite candidates with electrical engineering, applied physics or related backgrounds with various levels of experience. Advanced degree may be substituted for field experience.
If you are excited to work on the interface of neuroscience, artificial intelligence and cognitive science to understand the brain’s mechanisms of perception and cognition and engineer less artificial but more intelligent machines apply to join the laboratory of Andreas Tolias. We are seeking a capable and highly adaptable software engineer to join a multi-disciplinary team of scientists and engineers working on large scale technologies for brain activity and connectivity mapping and to develop technologies to interface brains to intelligent machines.
The candidate will work in a team of scientists and engineers in implementing new computational and machine learning features and maintaining different parts of complex data collection and analysis pipelines written primarily in Python and partly in MATLAB, as well as in provisioning and maintenance of the IT infrastructure for the research group. As such the candidate should be well versed in programming practices along with familiarity with Linux based operating systems such as Ubuntu. Some familiarity with Relational Database (e.g. MySQL) would be desirable.
The applicant will support a team of leading researchers in experimental neuroscience, computational neuroscience,and machine learning in an effort to discover algorithmic principles that bridge artificial and natural intelligence and to build brain machine interfaces. Our efforts will draw on state-of-the-art neuroscientific data collected by a team of experienced experimentalists. This unique and ambitious collaboration has exciting potential for revolutionary discoveries in both neuroscience and machine learning. We invite applications from developers with various levels of field experience. Advanced degree may be substituted for field experience.
If you are excited to work on the interface of neuroscience, artificial intelligence and cognitive science to understand the brain’s mechanisms of perception and cognition and engineer less artificial but more intelligent machines apply to join the laboratory of Andreas Tolias. We are seeking a capable and highly adaptable machine learning/data scientist to join a multi- disciplinary team of scientists and engineers working on large scale technologies for brain activity and connectivity mapping and to develop technologies to interface brains to intelligent machines.
The candidate will work in a team of scientists and engineers in developing new machine learning algorithms and data processing pipelines for the analysis of large scale brain data including integration of electrophysiology, function imaging, electron microscopy and molecular data.
The applicant will support a team of leading researchers in experimental neuroscience, computational neuroscience,and machine learning in an effort to discover algorithmic principles that bridge artificial and natural intelligence and to build brain machine interfaces. Our efforts will draw on state-of-the-art large scale neuroscientific physiological, anatomical and molecular data collected by a team of experienced experimentalists. This unique and ambitious collaboration has exciting potential for revolutionary discoveries in both neuroscience and machine learning. We invite applications from developers with various levels of field experience. Advanced degree may be substituted for field experience.