Last year, IBM won Phase 1 of the DARPA SyNAPSE project that seeks to discover, demonstrate, and deliver algorithms of the brain via a combination of (computational) neuroscience, supercomputing, and nanotechnology. We are seeking world-class candidates with expertise in one or more of the following areas: computational neuroscience (spiking computation, synaptic plasticity, structural plasticity), reinforcement learning, nonlinear dynamical systems, systems of coupled difference equations, neuroanatomy (gray matter, white matter), neurophysiology, neuromodulation, network analysis, neuromorphic chip design, analog VLSI, digital VLSI, ultra low-power computing, asynchronous VLSI, address events, circuit simulation, chip layout, chip testing, large-scale simulations, MPI (message passing interface), programming distributed memory machines, visualization, and virtual environments (USARSim) for cognitive task design. Interdisciplinary candidates with background in computer science, electrical engineering, biomedical engineering, and computational neuroscience are strongly encouraged to apply. Outstanding communication skills, ability to interact with a large, technically diverse, distributed team, demonstrated publication record, and relentless focus on project metrics and milestones are a must.
IBM is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
Research Staff Member - https://jobs3.netmedia1.com/cp/job_summary.jsp?st=6316&job_id=RES-0338816